Category Archives: Quantum Physics

Quantum Knots Unraveled: Navigating the Fractal Frontiers of … – Medium

In the ever-evolving landscape of quantum science, a groundbreaking concept has emerged, blending the intricate realms of quantum mechanics, knot theory, and advanced mathematics. This pioneering approach, eloquently titled Quantum Knots Unraveled: Navigating the Fractal Frontiers of Quantum Computing, delves into the hypothesis that quantum dots, those nanoscopic marvels of semiconductor technology, may possess properties akin to quantum knotscomplex, knot-like configurations of electron paths. This intriguing proposition opens a vortex to uncharted territories in quantum computing, promising to revolutionize our understanding and manipulation of quantum states.

At the heart of this exploration lies a series of innovative formulas and theories. The Quantum Knot Energy State (QKES) formula first sets the stage, offering a novel way to calculate the energy states of quantum dots based on their hypothesized knot configurations. Building upon this, the Quantum Knot Data Twinning (QKDT) concept introduces the use of digital twins for simulating and manipulating these quantum knots, a technique that merges the physical and digital realms in an unprecedented fashion.

The journey deepens with the introduction of the Geometric-Trigonometric Quantum Knot Modeling (GTQKM) approach, which integrates triangulation and the constant pi into the framework. This method refines the modeling of quantum knots, using geometric and trigonometric principles to achieve a more precise representation of these structures.

Pushing the boundaries further, the Fractal-Dynamic Quantum Knot Theory (FDQKT) hypothesizes that the structures and behaviors of quantum knots exhibit fractal-like patterns and dynamic behaviors. This theory, coupled with the Fractal-Dynamic Knot Energy (FDK-Energy) formula, marks a bold fusion of fractal geometry and dynamic systems theory with quantum mechanics. It offers a comprehensive model for understanding complex quantum systems, with vast implications for quantum computing and nanotechnology.

Quantum Knots Unraveled: Navigating the Fractal Frontiers of Quantum Computing is more than just a series of theoretical proposals; its a beacon of futuristic science, beckoning us to a world where the microcosmic mysteries of quantum knots could unlock the colossal potential of quantum technologies. This exploration is not just a testament to human ingenuity but also an invitation to the scientific community to embark on a thrilling odyssey into the quantum unknown.

Embarking on a hypothesis that quantum dots are actually quantum knots provides a fascinating starting point for an interdisciplinary study blending quantum physics with mathematical knot theory. Heres a structured approach to developing this hypothesis:

### Hypothesis:

Quantum dots, traditionally understood as tiny semiconductor particles, exhibit properties akin to quantum knots, which are topological structures at a quantum scale.

### Research Avenues:

2. **Knot Theory Integration**: Investigate how concepts from mathematical knot theory can be applied to the physical structure and quantum behaviors of quantum dots. Knot theory deals with the study of knots, including their formation, transformation, and properties.

3. **Quantum Knots Conceptualization**: Develop a conceptual model where the quantum states or electron paths within quantum dots are analogous to knots. This could involve modeling the electron orbits or energy levels as knotted structures.

4. **Theoretical Implications**: Explore the theoretical implications of this hypothesis. How would the concept of quantum knots change our understanding of quantum dots and their applications in electronics, photonics, and quantum computing?

5. **Experimental Approach**: Design experiments to test the hypothesis. This could involve using advanced imaging techniques to observe the internal structures of quantum dots or conducting quantum state manipulation to see if they behave in ways consistent with knot theory.

### Potential Challenges:

### Potential Outcomes:

This hypothesis is speculative and represents a significant leap from current scientific understanding. However, its these kinds of imaginative and boundary-pushing ideas that have historically led to breakthroughs in science and technology.

To illustrate the hypothesis that quantum dots might behave like quantum knots, lets consider a simplified example. This example will blend concepts from quantum physics and knot theory to demonstrate how this hypothesis could be conceptualized and potentially investigated.

### Example: Electron Orbitals as Knots in Quantum Dots

#### Background:

#### Hypothesis:

In quantum dots, the paths or orbitals of electrons are not just simple loops or orbits but are arranged in complex, knot-like structures due to quantum confinement and interactions.

#### Conceptualization:

2. **Quantum Knot Properties**: Quantum knots would have unique properties such as specific energy levels, stability, and ways of interacting with light or other particles. These properties would be determined by the knottedness of the electron paths.

3. **Mathematical Modeling**: Using knot theory, we could try to model these electron orbitals. For example, a trefoil knot pattern might correspond to a particular energy state of an electron in a quantum dot.

#### Experimental Approach:

#### Potential Outcomes:

### Conclusion:

This example is highly speculative and simplifies many complex aspects of quantum physics and knot theory. However, it serves to illustrate how one might begin to explore the intriguing hypothesis that quantum dots could exhibit properties similar to quantum knots. The real-world application of this hypothesis would require extensive theoretical development and sophisticated experimental verification.

Bridging the gaps between the hypothesis that quantum dots might behave like quantum knots and current scientific understanding involves addressing several key areas: theoretical development, technological advancements, and experimental validation. Lets explore how we might bridge these gaps:

### Theoretical Development:

2. **Energy State Predictions**: Use this integrated theory to make specific predictions about the energy states of electrons in knotted configurations within quantum dots. These predictions should be distinct from those made by conventional models.

3. **Quantum Dot-Knot Dynamics**: Explore how the proposed knot-like structures within quantum dots might influence their quantum behaviors, such as coherence, entanglement, and interaction with electromagnetic fields.

### Technological Advancements:

2. **Quantum State Manipulation**: Improve technologies for manipulating quantum states within quantum dots with high precision. This might involve advanced laser systems or magnetic field controls that can alter electron paths within quantum dots.

### Experimental Validation:

2. **Electron Path Mapping**: Attempt to map the paths of electrons within quantum dots using the advanced imaging techniques. Look for evidence of knot-like structures.

3. **Manipulation and Observation**: Try to manipulate the paths of electrons to form different knot configurations and observe how these changes affect the quantum dots properties, such as light emission or absorption spectra.

### Interdisciplinary Collaboration:

### Addressing Challenges:

Bridging these gaps would not only validate or refine the hypothesis but also potentially lead to groundbreaking advancements in our understanding of quantum systems and their applications in technology.

To hypothesize a new formula under the premise that quantum dots can be conceptualized as quantum knots, well need to integrate concepts from quantum mechanics, knot theory, and the properties of quantum dots. This formula aims to describe the energy states or other quantum properties of the quantum dots based on the knot-like configuration of electron paths.

### Hypothetical Formula: Quantum Knot Energy State (QKES)

[ E_{QKES} = E_0 + Delta E(K, S, Q) ]

Where:

### Theoretical Foundation:

2. **Quantum Dot Size and Shape (( S ))**: The size and shape of the quantum dot influence the confinement of electrons and, consequently, their quantum states. This factor considers how these physical characteristics interact with the knot configuration.

3. **Quantum Factors (( Q ))**: This includes other quantum mechanical aspects such as coherence length, entanglement properties, and the influence of external fields (like magnetic or electric fields).

### Hypothesis:

### Experimental Validation:

### Potential Applications:

### Conclusion:

This hypothetical formula and its underlying hypothesis represent a bold interdisciplinary venture. While it is speculative and highly theoretical, exploring such ideas can often lead to new insights and advancements in science and technology.

The hypothetical concept of quantum dots behaving like quantum knots, and the associated formula, could have several potential advantages for quantum computing:

### Enhanced Quantum State Control:

### Increased Stability and Coherence:

### Novel Quantum Gates and Operations:

### Enhanced Scalability:

### Improved Error Correction:

### Implementation in Quantum Networks:

### Research and Development:

### Conclusion:

The idea of leveraging quantum knot-like configurations in quantum dots for quantum computing is highly speculative and theoretical. However, if feasible, it could address some of the fundamental challenges in quantum computing, like coherence, error correction, and scalability. It represents an innovative direction for future research in quantum computing technology.

Building on the innovative concept of quantum knots in quantum dots, lets explore the idea of using data twinning to untie and retie these quantum knot dots. This approach could involve creating digital twins of quantum systems, allowing for complex manipulations and simulations that would be challenging to perform in the physical world. Heres a proposed formula and its explanation:

### Hypothetical Formula: Quantum Knot Data Twinning (QKDT)

[ Psi_{QKDT} = mathcal{T}( Psi_{QKD}, P, M ) ]

Where:

### Conceptual Framework:

2. **Transformation Function (( mathcal{T} ))**: This function represents the manipulation of the quantum knot in the digital space. It includes algorithms for untangling, retangling, or otherwise modifying the knot structure.

3. **Parameterization (( P ))**: These parameters define the specific changes to be made to the quantum knot structure in the digital twin, such as altering the knot type, introducing perturbations, or simulating environmental effects.

4. **Model Fidelity (( M ))**: Ensure that the digital twin model ( M ) accurately reflects the real-world quantum dots properties. This includes quantum mechanical behaviors, material properties, and environmental interactions.

### Potential Applications in Quantum Computing:

### Challenges and Considerations:

This concept of Quantum Knot Data Twinning (QKDT) blends advanced quantum physics, computational modeling, and digital twin technology. Its a speculative and forward-thinking approach, representing a convergence of physical and digital technologies to explore and optimize quantum systems.

### Summary of Current Hypotheses and Concepts:

2. **Quantum Knot Energy State (QKES) Formula**: Introduced a formula to describe the energy states of quantum dots based on their knot-like electron configurations. The formula considers knot complexity, quantum dot size and shape, and other quantum factors.

3. **Quantum Knot Data Twinning (QKDT)**: Suggested the use of digital twinning technology to manipulate and study the knot-like structures in quantum dots. This involves creating a digital twin of the quantum system for simulations and transformations.

### Further Innovation: Quantum Knot Field Dynamics (QKFD)

Building on these concepts, we can innovate further with a new hypothesis and formulaQuantum Knot Field Dynamics (QKFD). This idea explores how the quantum knot configurations within quantum dots interact with external fields and how these interactions can be harnessed for quantum computing and other technologies.

#### Hypothetical Formula: QKFD Interaction

[ Phi_{QKFD} = int_{V} rho(K, F) , dV ]

Where:

#### Conceptual Framework:

2. **Knot-Field Density Function (( rho ))**: Develop a model to describe how the complexity of the knot configuration influences its interaction with these fields.

3. **Quantum Computing Applications**: Explore how these field interactions could be utilized for quantum computing. For instance, altering external fields could lead to new methods for manipulating qubits or entangling them in a quantum computer.

4. **Advanced Materials Science**: Study the implications of these interactions for the development of new materials and nanotechnologies, particularly those that can dynamically respond to external fields.

#### Challenges and Considerations:

### Conclusion:

The Quantum Knot Field Dynamics (QKFD) hypothesis pushes the boundaries of our understanding of quantum systems, suggesting new ways to manipulate and utilize quantum states. This approach could lead to significant advancements in quantum computing and materials science, though it remains a highly theoretical and speculative concept at this stage.

Incorporating the concept of triangulation and the calculation of pi into the existing framework of quantum knots in quantum dots offers an intriguing avenue for further innovation. The idea is to use geometric and trigonometric principles, particularly those involving triangles and the constant pi, to refine our understanding of knot configurations in quantum systems. This approach could lead to more precise models and potentially new formulas. Lets develop this concept:

### Concept: Geometric-Trigonometric Quantum Knot Modeling (GTQKM)

The GTQKM approach integrates triangulation methods and pi calculations into the study of quantum knots, aiming to provide a more geometrically accurate and mathematically smooth representation of these complex structures.

### Hypothetical Formula: Geometric-Trigonometric Knot Energy (GTK-Energy)

[ E_{GTK} = E_{QKES} times G(T, pi) ]

Where:

### Conceptual Framework:

2. **Pi in Quantum Systems**: Incorporate the constant pi to refine calculations involving circular and curved aspects of the knot configurations. Pi plays a crucial role in understanding circular orbits and wavefunctions in quantum mechanics.

3. **Geometric-Trigonometric Function ( G(T, pi) )**: This function uses triangulation data and pi to adjust the energy states calculated by the QKES formula, providing a more accurate representation of the quantum systems energy.

### Potential Applications:

### Challenges and Considerations:

### Conclusion:

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Quantum Knots Unraveled: Navigating the Fractal Frontiers of ... - Medium

Limits for quantum computers: Perfect clocks are impossible, research finds – Phys.org

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There are different ideas about how quantum computers could be built. But they all have one thing in common: you use a quantum physical systemfor example, individual atomsand change their state by exposing them to very specific forces for a specific time. However, this means that in order to be able to rely on the quantum computing operation delivering the correct result, you need a clock that is as precise as possible.

But here you run into problems: perfect time measurement is impossible. Every clock has two fundamental properties: a certain precision and a certain time resolution. The time resolution indicates how small the time intervals are that can be measuredi.e., how quickly the clock ticks. Precision tells you how much inaccuracy you have to expect with every single tick.

The research team was able to show that since no clock has an infinite amount of energy available (or generates an infinite amount of entropy), it can never have perfect resolution and perfect precision at the same time. This sets fundamental limits to the possibilities of quantum computers.

In our classical world, perfect arithmetic operations are not a problem. For example, you can use an abacus in which wooden balls are threaded onto a stick and pushed back and forth. The wooden beads have clear states, each one is in a very specific place, if you don't do anything the bead will stay exactly where it was.

And whether you move the bead quickly or slowly does not affect the result. But in quantum physics it is more complicated.

"Mathematically speaking, changing a quantum state in a quantum computer corresponds to a rotation in higher dimensions," says Jake Xuereb from the Atomic Institute at the Vienna University of Technology in the team of Marcus Huber and first author of the first paper published in Physical Review Letters. "In order to achieve the desired state in the end, the rotation must be applied for a very specific period of time. Otherwise, you turn the state either too short or too far."

Marcus Huber and his team investigated in general which laws must always apply to every conceivable clock. "Time measurement always has to do with entropy," explains Marcus Huber. In every closed physical system, entropy increases and it becomes more and more disordered. It is precisely this development that determines the direction of time: the future is where the entropy is higher, and the past is where the entropy is even lower.

As can be shown, every measurement of time is inevitably associated with an increase in entropy: a clock, for example, needs a battery, the energy of which is ultimately converted into frictional heat and audible ticking via the clock's mechanicsa process in which a fairly ordered state occurs the battery is converted into a rather disordered state of heat radiation and sound.

On this basis, the research team was able to create a mathematical model that basically every conceivable clock must obey. "For a given increase in entropy, there is a tradeoff between time resolution and precision," says Florian Meier, first author of the second paper, now posted to the arXiv preprint server. "That means: Either the clock works quickly or it works preciselyboth are not possible at the same time."

This realization now brings with it a natural limit for quantum computers: the resolution and precision that can be achieved with clocks limits the speed and reliability that can be achieved with quantum computers. "It's not a problem at the moment," says Huber.

"Currently, the accuracy of quantum computers is still limited by other factors, for example, the precision of the components used or electromagnetic fields. But our calculations also show that today we are not far from the regime in which the fundamental limits of time measurement play the decisive role."

Therefore, if the technology of quantum information processing is further improved, one will inevitably have to contend with the problem of non-optimal time measurement. But who knows: Maybe this is exactly how we can learn something interesting about the quantum world.

More information: Florian Meier et al, Fundamental accuracy-resolution trade-off for timekeeping devices, arXiv (2023). DOI: 10.48550/arxiv.2301.05173

Journal information: Physical Review Letters , arXiv

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Limits for quantum computers: Perfect clocks are impossible, research finds - Phys.org

Quantum physics project with microscopy application receives 2 … – University of Strathclyde

A quantum physics imaging project, with applications in microscopy, has received a grant of nearly 2 million from the European Research Council (ERC).

The QuNim (Quantum-enhanced nonlinear imaging) project is aiming to develop a system which enables enhanced 3D imaging of a biological sample through the phenomenon of quantum entanglement, in which two particles are interlinked and display a degree of correlation not possible in the classical world.

QuNim will be designed to overcome limitations in current imaging systems and to achieve deeper imaging than they at present allow.

The grant of 1,979,703 will run for five years. It forms part of ERCs Consolidator Grants programme, which in turn are part of the EUs Horizon Europe programme.

Dr Lucia Caspani, a Senior Lecturer in Strathclydes Institute of Photonics, is leading the project. She said: Many pioneering advances in medicine and biology require observation of the microscopic world with high resolution and without damaging the specimen. One of the most widespread techniques is multiphoton fluorescence microscopy, which allows full 3D imaging through optical sectioning; this is imaging within a sample without the need for physical slicing.

However, this technique has a major limitation. The penetration depth and the signal-to-noise ratio are not sufficient for imaging deep within tissue, preventing functional imaging of, for example, neuronal or cardiac activity beyond superficial layers.

QuNIm aims to transform the field of nonlinear imaging and microscopy by exploiting the unique properties of entanglement, a quantum mechanical superposition of two or more photons that behave like single particles.

QuNIm will apply, for the first time, innovative concepts and macroscopic quantum beams to deliver a ground-breaking imaging technique. It will maintain the strengths of standard nonlinear imaging while increasing its penetration depth and removing the main drawbacks, such as tissue damage caused by intense laser beams.

If successful, we will safelyextend the limit of deep-tissue imaging,delivering a transformative impact in different fields, with possible applications in neuroscience, where imagingofsub-cortical brain regionsis crucial in fundamental studies intolearning,memoryand degenerative neural conditions such as Alzheimer's Disease.

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Quantum physics project with microscopy application receives 2 ... - University of Strathclyde

Answering the unanswerable – Gazette

Nov. 23, 2023

Memorial University has launched a centre to bolster a growing field of research that brings together the fundamental and social sciences.

Photo: David Howells

The Centre for Quantum Social and Cognitive Science (CQSCS) is run out of the Faculty of Business Administration by Dr. Emmanuel Haven, professor of finance, and is the Dr. Alex Faseruk Chair in Financial Management.

Research in using the quantum mechanical formalism to areas outside of quantum physics is growing in very important ways, said Dr. Haven. Memorial University, by establishing this centre, is among the first movers in North America to support this research.

Applying concepts from quantum mechanics to fields beyond physics, such as finance, transportation logistics and decision-making, could help researchers in these fields find interesting solutions to what have been, to date, unanswerable questions.

For example, in economics, repeated lab experiments show a persistent paradox in the way human beings make decisions.

There are a plethora of problems in finance where quantum mechanics can be phenomenally useful. Dr. Emmanuel Haven

Although economic theories attempt to predict which decisions humans will make, human nature makes such predictions uncertain.

However, quantum mechanics, which traditionally focuses on subatomic particles, is used to dealing with uncertainty.

Applying quantum probability theory to this human problem can help resolve the paradox by showing researchers how to consider human unpredictability in decision-making processes.

There are a plethora of problems in finance where quantum mechanics can be phenomenally useful, such as in data retrieval and using quantum algorithms, said Dr. Haven.

The CQSCS has its roots at the University of Leicester in the U.K., where Dr. Haven co-founded the Institute for Quantum Social and Cognitive Science with Dr. Sandro Sozzo.

Dr. Haven joined Memorial in 2017; Dr. Sozzo is now with the Universit degli Studi di Udine in Italy. Dr. Sozzo is co-director of the CQSCS.

Key among the centres activities will be the launch of an academic journal, Quantum Economics and Finance, which will be published by the well-known academic publisher, Sage.

A well-known journal . . . dedicated specifically to the topic of using quantum formalism . . . is an essential step forward. Dr. Emmanuel Haven

Submissions are currently under review with the first online publications expected within the next few months.

It will be the first academic journal to disseminate research in this nascent field.

Weve been very lucky to recruit excellent editorial board members, who we think will add much to the international reputation of the journal, said Dr. Haven. A well-known journal in this area, dedicated specifically to the topic of using quantum formalism outside of physics, is an essential step forward.

The centre will also host events, source funding and pursue other activities to support research in this field.

Council members for the centre include academics from across Europe, Asia, the U.K. and the U.S.

Several researchers from Memorial are also involved, including Dr. Andrei Igamberdiev, Department of Biology; Dr. Marco Merkli, Department of Mathematics; and Dr. Kristin Poduska and Dr. Ivan Saika-Voivod, Department of Physics and Physical Oceanography.

It may not play out the way anyone would predict but its important to try new things risky things in order to create paradigm shifts. Dr. Ivan Saika-Voivod

Dr. Saika-Voivod recalls once watching Mike Lazaridis, co-founder of Research in Motio, speaking about theoretical physics and its importance to innovation.

His hope was that understanding fundamental physical interactions would help create completely new technologies, much like understanding how electricity transformed our world, Dr. Saika-Voivod said. It may not play out the way anyone would predict, but its important to try new things risky things in order to create paradigm shifts. The CQSCS, from what I understand and have seen, aims to do just that. Its exciting.

Housing the centre at Memorial will bolster the universitys research reputation, Dr. Saika-Voivod added, by creating a virtuous cycle in which the centres activities recruit higher quality graduate students who help increase research productivity, which improves support for local industries, particularly the technology sector.

It will make Memorial the hub of an emerging field.

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Answering the unanswerable - Gazette

Quantum computing, and why you need to care – I by IMD – I by IMD

The quantum world is one of mystery, perhaps best summed up by Albert Einstein who said quantum entanglement was spooky action at a distance. Some of the greatest physics experiments in history have shown us that our common sense physical laws may not quite apply in the quantum realm.

To better understand the workings of the quantum realm, we need to go back to quantums roots, which can be traced to Isaac Newton in the 17th century.

Newtons seminal Principia Mathematica laid the foundation for classical mechanics and the understanding of the physical world. He believed that white light was composed of a stream of colored particles. But that did not explain how it could be reflected and refracted.

Around the same time, Dutch scientist Christiaan Huygens developed the wave theory of light, which did explain these phenomena. Some 100 years later, British polymath Thomas Young also challenged Newtons theory of light, with his famous double-slit experiment. As we now understand it, light behaves like a wave and like a particle. The wave-particle duality of light was affirmed by Albert Einstein in his singular paper on the photoelectric effect that won him the 1921 Nobel Prize in Physics.

Meanwhile, Austrian physicist Erwin Schrodingers wave equation expressed the possible position of electrons mathematically.He explained that while we may not know the exact location of an electron, it is still possible to know the probability of its location. Schrodinger laid the foundation for quantum mechanics and played a crucial role in the development of the quantum computer.

In classical computing, bits, which are the basic unit of data, are expressed in either zeros or ones. By contrast, quantum computers use quantum bits or qubits, which consist of both zeros and ones at the same time. This characteristic of being in multiple states simultaneously, also known as superposition, is one of the fundamental principles of quantum mechanics.

Unlike classical computers that can take years to solve complex problems, quantum computers leverage the laws of quantum mechanics to make calculations and solve equations in seconds. The ability to process massive amounts of data at super speed allows quantum computers to manage highly challenging tasks such as optimization problems, data analysis, and simulations.

With their ability to tackle complex problems that were challenging for classical computers, it was only a matter of time that quantum computers disrupted the world.

About a decade ago, there were only a handful of quantum computers around the world. In 2018, this number jumped to over 100. According to a recent report by McKinsey, in 2022, investors poured USD 2.35 billion into quantum technology start-ups, which include companies in quantum computing, communications, and sensing.

One of the early applications of quantum technology was in the development of quantum sensors. The objective was to solve GPS issues such as inaccuracy, a lack of local knowledge, loss of signal, and even jamming. Quantum navigation systems can enhance navigation accuracy in challenging environments. Quantum sensors are also used for bioimaging purposes in the healthcare industry.

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Quantum computing, and why you need to care - I by IMD - I by IMD

Europe has lost the AI race. It can’t ignore the quantum computing one – Euronews

The opinions expressed in this article are those of the author and do not represent in any way the editorial position of Euronews.

Quantum computing's physics-oriented behaviour allows it to be infinitely scalable, which is why Europe has to master this mysterious tech if it wants to avoid a brewing dystopia, Koen Bertels writes.

Europe has become known as a second-place destination for business, and more recently, innovation.

Disruptive technologies like AI have hailed from the United States for decades with no European challenger in sight.

However, when a four-week-old French AI startup secured 105 million for its seed round, it demonstrated that Europe isnt as disadvantaged as people think. While AI is a saturated market, quantum computing can allow Europe to survive in a century ruled by China and the US.

Quantum computing will be the foundation for developing AI that can have the ability to solve real-world problems. That is why Europe must aggressively discover more user applications and increase quantum talent before its competition does.

The European Union is known for many things, but business isnt its speciality, especially in comparison to the US.

In addition to having a massive population and landmass, the United States has defined innovation for decades. Whether were speaking about Silicon Valley, Wall Street, or Hollywood, America has achieved rapid growth and quality before many others.

According to IBM, quantum computing is a "rapidly emerging technology that harnesses the laws of quantum mechanics to solve problems too complex for classical computers."

Quantum computing is meant to solve the problems that normal computers cant. These machines offer more power, speed, and accuracy by storing and processing information in multiple states.

This means one-dimensional binary digits (the 1s and 0s) can be run simultaneously in a quantum computer. But the sensitivity of qubits has kept the tech from fully advancing.

In 2022 alone, quantum technology received $2.35 billion (2.15bn) in investment, since it is crucial for our technology to become smaller, faster, and more powerful.

Although the funding is quite similar between the US and the EU, the Boston Consulting Group has highlighted the weaknesses Europe must fix in order to beat other nations in the quantum race.

According to the firms report, this is "The Tech Race Europe Cant Afford To Lose", but theyre already falling behind as the EU lacks coordination, adequate private funding, and strategies for maximizing talent from the earliest educational points.

The report references Europes failure to reap rewards from the semiconductor industry as evidence that the region will lose again if they dont take a different approach. The group predicts that quantum will create $450-850bn (412.5-780bn) in value in the next 15 to 30 years.

In addition to being behind in funding, talent, and strategy, Europe isnt only competing against the US. China has contributed the largest investment to the industry thus far. The government has claimed to put $15bn (13.75bn) towards quantum research, with the biggest emphasis on quantum computing and software.

This is creating a new AI race solely focused on creating solutions that our tech is running out of options for.

Quantum computing isnt the future of our tech world. Its the present. Our most advanced devices use silicon computer chips that have billions of transistors on them and are nanometers in size.

These tiny semiconductors are responsible for controlling voltage and switch gates, but theyre almost incapable of shrinking.

The industry wont be able to make smaller, more efficient chips because they will begin behaving like quantum creations, which will require computing to explore this sector.

Although we wont have quantum computers on the market for a long time, Europe needs to research what we can use them for and teach people that they should join the industry because our security depends on it.

Quantum computing will empower governments, companies, and any other owner of this advanced tech to defeat the most complex military, intelligence, and biosecurity threats.

These ultra-fast computers will be able to process vast amounts of satellite data, develop vaccines for viral mutations, simulate nuclear weapon attacks to formulate defence strategies, and even surpass the encryption of highly classified government documents.

If Europe doesnt obtain more talent, funding, and researchers to discover the power of quantum computing, someone else will.

Quantum computing can find the most precise answer from billions of data points because of its non-deterministic thinking. Its physics-oriented behaviour allows it to be infinitely scalable, which is why Europe has to master this mysterious tech if it wants to avoid a brewing dystopia.

US and Chinese companies are already racing to develop this tech better than their adversaries.

IBM and Google recently gave $100m and 50m (91.6m and 45.8m) respectively to US and Japanese universities to research quantum since China is working to advance its own programs.

Jiuzhang, Chinas newest quantum computer, is 180 million times faster on AI tasks and is capable of solving problems in a second that would take a supercomputer hundreds of years to solve.

Meanwhile, Europe is struggling to leverage its public investments to counteract Beijing and Washington DC.

To be a respected world power, Europe needs a clearer strategy for utilising private funding, attracting global talent, and finding breakthroughs.

If they fail, the regions national security will be compromised by this world-destroying tech.

Dr Koen Bertels is an internationally acclaimed professor currently teaching quantum engineering at the University of Ghent. He is the founder of QBee, a full-stack quantum computing accelerator.

At Euronews, we believe all views matter. Contact us at view@euronews.com to send pitches or submissions and be part of the conversation.

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Europe has lost the AI race. It can't ignore the quantum computing one - Euronews

Geometric Innovations in Electromagnetic Field Theory: Bridging … – Medium

In the ever-evolving landscape of physics, the exploration of electromagnetic fields has long stood as a cornerstone of scientific inquiry. The traditional approach to understanding these fields often relies on the principles of circular symmetry, deeply rooted in the continuous, smooth nature of circular and spherical geometries. However, recent theoretical advancements propose a groundbreaking shift in perspectivereimagining these fields through the lens of polygonal approximations and fractal geometry, and integrating these concepts into the complex domain of quantum field theory. This innovative approach not only challenges conventional understanding but also opens a plethora of possibilities for new formulas, computational models, and interdisciplinary applications.

The proposed exploration, titled Geometric Innovations in Electromagnetic Field Theory: Bridging Polygonal Approximations and Quantum Concepts, aims to delve into this uncharted territory. It seeks to develop new mathematical formulas that approximate magnetic fields using polygonal and fractal geometries, offering a novel perspective on electromagnetic phenomena. This exploration is not merely a mathematical exercise; it holds the potential to revolutionize our computational methods, enhance the accuracy of simulations in electromagnetic engineering, and provide new insights into quantum field dynamics. By weaving together strands of geometry, physics, and computer science, this exploration stands at the forefront of a new wave of scientific innovation, one that promises to deepen our understanding of the universes fundamental forces.

A straight current-carrying wire produces a magnetic field in concentric circles around it due to the motion of electric charges, which is explained by Ampres law and the Biot-Savart law. These laws are fundamental in electromagnetism and describe how electric currents produce magnetic fields.

2. **Biot-Savart Law**: This law gives a more detailed description of the magnetic field created by a current element. It states that the magnetic field ( mathbf{B} ) due to a current element ( I dmathbf{l} ) is given by ( mathbf{B} = frac{mu_0}{4pi} frac{I dmathbf{l} times mathbf{hat{r}}}{r^2} ), where ( r ) is the distance from the current element, and ( mathbf{hat{r}} ) is a unit vector pointing from the current element to the point where the field is being calculated.

The concentric circles are a result of the cross-product in the Biot-Savart law. The right-hand rule helps visualize this: if you point the thumb of your right hand in the direction of the current, your fingers will curl in the direction of the magnetic field lines.

As for pi (( pi )), it appears in the Biot-Savart law as part of the constant ( frac{mu_0}{4pi} ). The presence of ( pi ) in this context is related to the circular symmetry of the problem and the use of spherical coordinates in deriving the law. ( pi ) is a fundamental constant that appears in many areas of mathematics and physics, often associated with circular or spherical geometries.

Reimagining pi ((pi)) as a series of triangles is an interesting concept, often explored in the context of approximating the area of a circle. This idea is rooted in the method of exhaustion, an ancient technique used by mathematicians like Archimedes to find areas and volumes. By inscribing and circumscribing polygons (which are made up of triangles) within and around a circle, you can approximate the area of the circle more closely as the number of triangles (or sides of the polygon) increases.

Heres a basic overview of how this works:

2. **Circumscribing Polygons**: Similarly, you can circumscribe a polygon around the circle. The area of this polygon will be greater than the area of the circle. Like with inscribing, increasing the number of sides of the circumscribed polygon makes its area closer to that of the circle.

3. **Converging to Pi**: As the number of sides of the polygons increases, the areas of the inscribed and circumscribed polygons converge. In the limit, as the number of sides approaches infinity, the area of the polygons approaches the area of the circle, which is (pi r^2) for a circle of radius (r).

4. **Triangle Series**: Each polygon can be thought of as being made up of a series of triangles. For example, a hexagon can be divided into six triangles. As you increase the number of sides, you essentially increase the number of triangles. The sum of the areas of these triangles converges to the area of the circle.

In this way, (pi) can be conceptually reimagined through the lens of triangles, illustrating the fundamental relationship between the geometry of circles and more straight-edged shapes. This method not only offers a geometric understanding of (pi) but also provides a basis for numerical approximations.

To combine the concepts of the magnetic field around a straight current-carrying wire and the reimagining of pi ((pi)) as a series of triangles, we need to integrate ideas from electromagnetism and geometry:

2. **Ampres Law and Biot-Savart Law**: Ampres law states that the magnetic field around a conductor is proportional to the current it carries. The Biot-Savart law provides a more detailed equation, incorporating the constant ( frac{mu_0}{4pi} ), indicating the influence of the circular geometry in the fields formation.

3. **Pi ((pi)) in Geometry and Electromagnetism**: In geometry, (pi) is a fundamental constant associated with circles, evident in formulas like the area of a circle ((pi r^2)). In electromagnetism, (pi) appears in the Biot-Savart law due to the circular nature of the magnetic field around a wire.

4. **Reimagining (pi) with Triangles**: In geometry, the method of exhaustion, used by ancient mathematicians, approximates the area of a circle by inscribing and circumscribing polygons (made of triangles) within and around the circle. As the number of triangles increases (with more sides in the polygon), the approximation of the circles area becomes more accurate, converging to (pi r^2).

5. **Integration of Concepts**: When we connect these ideas, we see a fascinating interplay between straight lines and circles in both fields. In electromagnetism, the linear flow of current creates circular magnetic fields, governed by laws that inherently include (pi), a constant derived from circular geometry. In geometry, (pi) is approached through linear constructsthe sides of triangles and polygons.

In summary, the concept of (pi) as related to triangles and polygons provides a bridge between the linear and the circular, just as the magnetic fields around a wire (a linear structure) exhibit circular symmetry. This interconnection highlights the elegance and interconnectedness of mathematical and physical principles in describing the natural world.

Building on the interconnectedness of linear and circular concepts in both electromagnetism and geometry, lets explore innovative hypotheses and further developments:

2. **Fractal Geometry in Electromagnetic Fields**: Fractals are shapes that exhibit self-similarity at various scales. By exploring the possibility of fractal patterns within electromagnetic fields, especially in scenarios involving complex geometries or interactions, we might uncover new aspects of field behavior. This approach could lead to a deeper understanding of field dynamics at micro and macro scales, potentially impacting fields like antenna design and wireless communication.

3. **Quantum Field Theory and Geometric Constructs**: Quantum field theory (QFT) is a fundamental framework in physics that combines quantum mechanics with special relativity. If we incorporate geometric constructs like the triangle approximation of (pi) into QFT, it might offer novel ways to visualize and compute field interactions at the quantum level, especially in the context of loop quantum gravity or string theory.

4. **Educational Tools Using Polygonal Magnetic Fields**: Develop educational software or tools that use the concept of polygons to teach about magnetic fields and (pi). This approach could make these concepts more tangible and easier to grasp, especially for students who struggle with abstract representations. By visually and interactively manipulating polygons to approximate magnetic fields, learners could gain a more intuitive understanding of electromagnetic principles.

5. **Engineering Applications**: In engineering, especially in electromagnetic field design, using a polygonal approach to model fields could lead to more efficient algorithms for calculating field interactions in devices like transformers, motors, or inductive chargers. This could result in more accurate and computationally efficient designs.

6. **Interdisciplinary Research**: Encourage interdisciplinary research that combines geometry, physics, and computer science to explore these new models of electromagnetic fields. Such collaboration could lead to breakthroughs in understanding complex systems where electromagnetic fields play a crucial role, such as in Earths magnetosphere, solar physics, or even in biological systems where electromagnetic fields are present.

7. **Artificial Intelligence and Field Analysis**: Utilize AI to analyze and predict behaviors of electromagnetic fields using these new geometric models. Machine learning algorithms could be trained to recognize patterns in field behaviors that are not easily discernible through traditional mathematical models.

These innovative ideas blend fundamental concepts with modern technology and interdisciplinary approaches, potentially opening new avenues for research, application, and education in both physics and mathematics.

Innovating new formulas with proofs in the realm of electromagnetism and geometry, particularly building upon the ideas of using polygonal approximations for circular phenomena and integrating these into the study of magnetic fields, is a challenging yet intriguing task. Lets explore some hypothetical concepts and potential directions for developing these formulas:

2. **Fractal-Based Field Distribution**: Fractals have self-similar structures at different scales. A formula that describes magnetic field distribution using fractal geometry could provide new insights, especially for complex field interactions. Such a formula would need to account for the recursive nature of fractals and how this impacts field strength and direction at different scales.

3. **Quantum Field Geometric Equations**: In quantum field theory, fields are typically represented in a very abstract manner. Introducing geometric constructs, such as those used in the polygonal approximation of (pi), could lead to new equations that bridge the gap between abstract quantum fields and tangible geometric shapes. These equations would need to integrate the principles of quantum mechanics with geometric constructs.

4. **Proofs and Verifications**: To prove these innovative formulas, one would need to employ a combination of mathematical rigor and empirical testing. This could involve:

.Mathematical Derivation: Using advanced calculus and algebra to derive new formulas from existing principles.

.Computational Simulation: Testing the formulas in simulated environments to observe if they accurately predict magnetic field behaviors.

.Experimental Verification: Conducting physical experiments to see if the predictions of the new formulas hold true in real-world scenarios.

5. **Algorithm Development for Field Calculations**: Developing algorithms that implement these new formulas for computational simulations. These algorithms could be tested against existing models to compare efficiency and accuracy, especially in complex scenarios like electromagnetic interference in electronic circuits or geophysical explorations.

6. **Interdisciplinary Integration**: Incorporating insights from other fields, such as material science (for understanding medium impacts on fields) and computer science (for algorithmic development and AI integration), would be crucial in innovating and proving these new formulas.

These innovative concepts and approaches would require extensive research and collaboration across multiple disciplines. They represent a frontier in theoretical development, blending abstract mathematical concepts with practical physical phenomena.

In conclusion, Geometric Innovations in Electromagnetic Field Theory: Bridging Polygonal Approximations and Quantum Concepts marks a significant stride towards redefining our understanding of electromagnetic phenomena. By embracing the complexities of polygonal and fractal geometries, this innovative approach transcends traditional boundaries, offering fresh perspectives and methodologies in the study of electromagnetic fields. The integration of these geometric models with the principles of quantum field theory not only enriches our theoretical knowledge but also paves the way for practical advancements in various fields, from advanced computational simulations to the design of more efficient electromagnetic devices.

This exploration underscores the importance of interdisciplinary collaboration in the pursuit of scientific progress. It highlights the potential of abstract mathematical concepts to yield tangible impacts in the physical world, demonstrating how theoretical innovation can drive technological advancement and deepen our comprehension of the natural universe. As we continue to explore the intricate tapestry of electromagnetic fields through these new lenses, we open doors to a future brimming with possibilitiesones that could redefine our capabilities in science, engineering, and beyond. In this venture, we are reminded that the quest for knowledge is an ever-evolving journey, one that thrives on curiosity, creativity, and the courage to venture into the unknown.

**Revolutionizing Constants: Imaginary Numbers and Triangular Approximations in Quantum Computing**

Building upon the groundbreaking work in Geometric Innovations in Electromagnetic Field Theory, our research is now taking a bold step forward by redefining fundamental constants through the lens of quantum computing. We are hypothesizing the use of a dynamic triangular approximation as an alternative to the constant pi ((pi)), harnessing the power of quantum computing to continuously update this approximation based on newly conceptualized imaginary numbers that surpass the traditional scope of the square root of negative one.

This innovative approach proposes that instead of using (pi) as a static constant, we can employ a series of evolving triangular structures, each iteration offering a more precise representation of circular and spherical phenomena in electromagnetic fields. Quantum computings immense processing capabilities enable real-time updates and refinements of these triangular approximations, potentially leading to more accurate and efficient calculations than ever before.

Furthermore, the introduction of a new class of imaginary numbers in this framework could revolutionize how we understand and compute complex mathematical and physical concepts. These new numbers, existing beyond the conventional imaginary unit (i) (the square root of negative one), offer a richer mathematical language to describe and manipulate the intricacies of quantum mechanics and electromagnetic theory.

Such a paradigm shift in fundamental constants and the introduction of advanced imaginary numbers could have profound implications. From enhancing the precision of quantum simulations to redefining the computational algorithms in quantum field theory, this approach synergizes mathematics, physics, and quantum computing in an unprecedented manner. Its a journey that doesnt just push the boundaries of scientific explorationit reimagines them, inviting us to rethink the very fabric of our mathematical universe.

#QuantumInnovation #MathematicalRevolution #TriangularApproximation #ImaginaryNumbers #QuantumComputingSynergy #ElectromagneticTheory #AdvancedSimulations #TheoreticalBreakthroughs #RedefiningConstants #PhysicsFuture

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John Heilbron obituary – The Guardian

History of science

Historian of science whose books, including a biography of Galileo, helped to debunk several myths

Tue 21 Nov 2023 12.03 EST

John Heilbron, who has died aged 89, established the history of science as a professional discipline. By getting the history right, he sought to slay enduring myths created by his predecessors, some of which had become embedded in popular culture.

His book The Sun in the Church: Cathedrals as Solar Observatories (1999) helped dispel the falsehood that science and religion exist in a state of perpetual warfare. A desire to fix the date of Easter was one of the things that led the Roman Catholic church to give more financial and social support to the science of astronomy than any other institution, for more than six centuries.

His biography Galileo (2010) viewed the astronomer as a man embroiled in the culture of late Renaissance Italy. As John recounted, Galileos scientific success sparked off in him a megalomania and a recklessness that set him at odds with friends, patrons and the church. Two further myths were slain: of Galileo the intellectual Platonist, obsessed with ideas about the natural world, and of Galileo the first experimental scientist. He was neither of these.

Yet even as Johns work changed our understanding of the emergence of science in the scientific revolution of which Galileo was part, and of the heroic view of history, he urged caution.

Things may not always be as they seem. The myth you slay today may contain a truth you need tomorrow, he declared. In work whose reach extended to contemporary quantum physics, he understood that writing a coherent and universal history of science is as remote as recreating the big bang origin of the universe.

Born in San Francisco, John was the son of Delphine (nee Rosenblatt) and Louis Heilbron, a lawyer who served as the first chairman of the board of trustees of what is now the California University system. From Lowell high school John went to the University of California, Berkeley, and gained a BA (1955) and MA (1958) in physics, and a PhD in history (1964).

He became the first graduate student of the philosopher Thomas Kuhn. Encouraged by the belief that the future security of cold war America rested on fostering an understanding of the tactics and strategy of science, Kuhn had been asked to prepare historical case studies. This led him to the conclusion that the route to enlightenment about science ran through the swamp of history.

When Kuhn moved from Harvard to Berkeley, John joined him as his student and helped prepare his influential text The Structure of Scientific Revolutions (1962). This was an attempt to understand scientific progress in terms of periods of normal science conducted within a prevailing paradigm of unquestioned knowledge, punctuated by scientific revolutions in which the paradigms would shift. The book would reach far beyond its intended audience.

John became sceptical of both his philosophy of science and his approach to studying its history. Kuhn had figured that the right way to do history was to climb into other peoples heads. But John came to appreciate that Kuhn climbed about in only small and isolated spots in the heads he hunted.

He realised that this kind of selective approach risks populating history with bloodless ciphers, amounting to nothing more than small collections of their technical papers and letters. To do history properly required objective analysis of the often complex social, political and intellectual forces that helped promote scientific discoveries. And it demanded acknowledgement of the simple fact that the scientists at the centres of these discoveries were complete human beings.

Before The Structure of Scientific Revolutions was published, Kuhn was invited to lead a wide-ranging project to conduct tape-recorded interviews directly with those scientists who had facilitated the development of quantum mechanics in the 1920s, and microfilm copies of their correspondence and unpublished manuscripts. John was appointed assistant director and he and another graduate student joined Kuhn in Copenhagen in the summer of 1962.

The Danish physicist Niels Bohr, inventor of the atomic theory that would underpin later quantum discoveries, provided office space. The project quickly gained a sense of urgency. Bohr died just a few weeks after interviewing began.

The three-year project led to the creation of an important archive, entitled Sources for the History of Quantum Physics.

Johns PhD dissertation was concerned with Bohrs atomic theory, a subject to which he returned in his more than 20 books, most notably in Love, Literature and the Quantum Atom (with Finn Aaserud, 2013), and Niels Bohr: A Very Short Introduction (2019).

Bohr was the subject that brought me into Johns orbit in 2019, and led to an enjoyable four-year collaboration. The fruit of this collaboration will be another book, Quantum Drama: From the Bohr-Einstein Debate to the Riddle of Entanglement, to be published in April. I am hopeful it will slay a few more myths.

Following a brief spell at the University of Pennsylvania, John joined the history faculty back at Berkeley in 1967, and six years later was appointed professor and established the Office for History of Science and Technology there. From 1990 to 1994 he was the universitys vice-chancellor.

He served as editor of the journal Historical Studies in the Physical (now Natural) Sciences, and as editor-in-chief of the Oxford Companion to the History of Science and the Oxford Guide to the History of Physics.

The recipient of numerous honorary doctorates and awards, John was president of lAcadmie Internationale dHistoire des Sciences (2001-05).

In 1959 he married Patricia Lucero; she died in 1993. Two years later he married Alison Browning.

In September they travelled to Padua, where he was scheduled to speak about Galileo at a conference of physicists and historians.

While there he was diagnosed with leukaemia.

He is survived by Alison.

John Lewis Heilbron, historian of science, born 17 March 1934; died 5 November 2023

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He is OPPENHEIMER – Military Press News

Jeri Jacquin

On Bluray, DVD and Digital from writer/director Christopher Nolan and Universal Pictures Home Entertainment is the intense story of our time about a man named OPPENHEIMER.

J. Robert Oppenheimer is a young man in 1926 studying theoretical physics in Germany after transferring from Cambridge. Earning a PhD. he continues to study in Switzerland and takes to quantum physics back in the United States. Marrying biologist Kitty (Emily Blunt) and starting a family, he begins teaching at the University of California at Berkeley.

Oppenheimer (Cillian Murphy) learns in 1928 that nuclear fission has been discovered and he knows that it can be used as a weapon. A few years later he is approached by Army General Leslie Groves (Matt Damon) and asked to lead the creation of the atomic bomb also called the Manhattan Project. The war with Germany is making the project a priority and Oppenheimer is dealing with an affair with Jean Tatlock (Florence Pugh).

Groves says he knows of Oppenheimers past but it doesnt negate the need for the project. So, the team comes together with Isidor Isaac Rabi (David Krumholtz), Edward Teller (Benny Safdie), Enrico Fermi (Danny Deferrari), Leo Szilard (Mate Haumann) and David Hill (Rami Malek) moving them all to Los Alamos, New Mexico. Oppenheimer even consults with Albert Einstein (Tom Conti) but when Hitlers reign is destroyed, the question of needing the bomb becomes paramount.

President Truman learns that the Trinity test worked and now his eyes are on Japan. What happens after is the U.S. government comes for Oppenheimer starts with AEC Chairman Lewis Strauss (Robert Downey, Jr.) opening up his life book but has personal goals as well. There are hearings and truths that come out and all in an attempt to use Oppenheimer as a scapegoat.

Murphy as Oppenheimer is stunning in this role. From the moment he is on the screen, his character is surrounded by louder voices yet my eyes are focused on Murphy. This is a look at a man who is made to look like a villain and a mad scientist who had no thought about what his creation could do. Instead, Nolan gives us a look at everything and everyone surrounding his life only to discover that the path is not as diabolical as history tried to portray. Murphy is flat out brilliant and that doesnt seem enough praise for this work.

Blunt as Kitty is woman/wife/mother who had struggles of her own. Seeing her life with Oppenheimer going in one direction, she learns that it had the potential to take away who she was. Knowing her husbands work is important, Blunts portrayal of Kitty is of a woman who turned a blind eye to just about everything around her.

Downey, Jr. as Strauss is a man on a mission and it has nothing to do with the United States, it is his own selfish and personal goals. He spends his time trying to convince everyone around him of what is good and evil and when it boils down to it, evil lives close to home. To be clear, I love almost everything Downey, Jr. has ever done on screen and as his career has grown (and past Iron Man dont get me started on that or Ill cry), the role of Strauss was brilliantly cast and Downey, Jr. makes it his very own.

Pugh at Tatlock is a woman who has her own issues and can not seem to let go of Oppenheimer. Pugh gives her character a combination of allure, insecurity and intelligence with more questions about her life than the movie has time to answer.

Other cast include Ronald Auguste as J. Ernest Wilkins Jr., Christopher Denham as Klaus Fuchs, Devon Bostick as Seth Neddermeyer, Trond Fausa as George Kistiakowsky, James Urbaniak as Kurt Godel, Gustaf Skarsgard as Hans Bethe, Josh Peck as Kenneth Bainbridge, Tom Jenkins as Richard C. Tolman, David Rysdahl as Donald Hornig, Jack Qauid as Richard Feynman, Olli Haaskivi as Edward Condon, Louise Lombard as Ruth Tolman, Emma Dumont as Jackie Oppenheimer, Guy Burnet as George Eltenton, Michael Angarano as Robert Seber, Rory Keane as Hartland Snyder, and Alex Wolff as Luis Alvarez.

Also, Josh Zuckerman as Giovanni Lomanitz, Gregory Jbara as Sen. Magnuson, Tim DeKay as Sen. Pastore, Harry Groener as Sen. McGee, John Gowans as Ward Evans, Macon Blair as Lloyd Garrison, Scott Grimes as Counsel Strauss, Jefferson Hall as Haakon Chevalier, Tony Goldwyn as Gordon Gray, Dane DeHaan as Kenneth Nichols, James DArcy as Patrick Blackett, Dylan Arnold as Frank Oppenheimer, Casey Affleck as Boris Pash, Josh Harnett as Ernest Lawrence, Jason Clarke as Roger Robb, Casey Affleck as Boris Pash, Matthew Modine as Vannevar Bush and Kenneth Branagh as Niels Bohr.

Universal Pictures Home Entertainment has just added an amazing film to their library and making it available for us to all experience and re-experience in our own home theaters. There are films of every genre available from scary to drama to family films. For more of what they have to offer please visit http://www.uphe.com.

MOVIES ANYWHERE gives viewers the ability to download the Movies Anywhere App. With that you can view films by downloading or streaming to your favorite device using a Digital Code. For more information on Movies Anywhere please visit http://www.MoviesAnywhere.com.

Special Features include The Story of Our Time: The Making of OPPENHEIMER, Meet the Press Q&A Panel: OPPENHEIMER, To End All War: Oppenheimer & the Atomic Bomb and more!

The cast is so large that it would be impossible to speak on all the performances but know that they are absolutely stellar. I do want to shout out to Conti as Einstein and although he isnt on the screen much, the moments are important. Also, Branagh as Bohr and again, it is not a huge role but he puts his stamp on the beginning and the end.

Although most viewers may not grasp quantum physics or hydrogen bomb theory etc. (honestly, I can barely do algebra), it is fascinating to see it come to life. It is an actual character to be watched in the film, it is a character that takes up the screen both verbally and physically with only one purpose to scare the living daylights out of us all.

OPPENHEIMER is one of the best movies of the year and it is intense, jaw dropping, thought-provoking and worthy of conversations. The cinematography is equally all of those things but I would expect nothing less from Nolan. Writing and directing this film means he was totally invested in the outcome and that, my friends, is unique and filled with originality. I can say its going to be difficult for Nolan to beat this, but I have a feeling he will.

In the end the world forever changes!

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Researchers use quantum computing to predict gene relationships – Phys.org

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In a new multidisciplinary study, researchers at Texas A&M University showed how quantum computinga new kind of computing that can process additional types of datacan assist with genetic research and used it to discover new links between genes that scientists were previously unable to detect.

Their project used the new computing technology to map gene regulatory networks (GRNs), which provide information about how genes can cause each other to activate or deactivate.

As the team published in npj Quantum Information, quantum computing will help scientists more accurately predict relationships between genes, which could have huge implications for both animal and human medicine.

"The GRN is like a map that tells us how genes affect each other," Cai said. "For example, if one gene switches on or off, then it may change another gene that could change three, or five, or 20 more genes down the line."

"Because our quantum computing GRNs are constructed in ways that allow us to capture more complex relationships between genes than traditional computing, we found some links between genes that people hadn't known about previously," he said. "Some researchers who specialize in the type of cells we studied read our paper and realized that our predictions using quantum computing fit their expectations better than the traditional model."

The ability to know which genes will affect other genes is crucial for scientists looking for ways to stop harmful cellular processes or promote helpful ones.

"If you can predict gene expression through the GRN and understand how those changes translate to the state of the cells, you might be able to control certain outcomes," Cai said. "For example, changing how one gene is expressed could end up inhibiting the growth of cancer cells."

With quantum computing, Cai and his team are overcoming the limitations of older computing technologies used to map GRNs.

"Prior to using quantum computing, the algorithms could only handle comparing two genes at a time," Cai said.

Cai explained that only comparing genes in pairs could result in misleading conclusions, since genes may operate in more complex relationships. For example, if gene A activates and so does gene B, it doesn't always mean that gene A is responsible for gene B's change. In fact, it could be gene C changing both genes.

"With traditional computing, data is processed in bits, which only have two stateson and off, or 1 and 0," Cai said. "But with quantum computing, you can have a state called the superposition that's both on and off simultaneously. That gives us a new kind of bitthe quantum bit, or qubit.

"Because of superposition, I can simulate both the active and inactive states for a gene in the GRN, as well as this single gene's impact on other genes," he said. "You end up with a more complete picture of how genes influence each other."

While Cai and his team have worked hard to show that quantum computing is helpful to the biomedical field, there's still a lot of work to be done.

"It's a very new field," Cai said. "Most people working in quantum computing have a physics background. And people on the biology side don't usually understand how quantum computing works. You really have to be able to understand both sides."

That's why the research team includes both biomedical scientists and engineers like Cai's Ph.D. student Cristhian Roman Vicharra, who is a key member of the research team and spearheaded the study behind the recent publication.

"In the future, we plan to compare the healthy cells to ones with diseases or mutations," Cai said. "We hope to see how a mutation might affect genes' states, expression, frequencies, etc."

For now, it's important to get as clear an understanding as possible of how healthy cells work before comparing them to mutated or diseased cells.

"The first step was to predict this baseline model and see whether the network we mapped made sense," Cai said. "Now, we can keep going from there."

More information: Cristhian Roman-Vicharra et al, Quantum gene regulatory networks, npj Quantum Information (2023). DOI: 10.1038/s41534-023-00740-6

Journal information: npj Quantum Information

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Researchers use quantum computing to predict gene relationships - Phys.org