Category Archives: Quantum Computing
Scientists blast atoms with Fibonacci laser to make an "extra" dimension of time – Livescience.com
By firing a Fibonacci laser pulse at atoms inside a quantum computer, physicists have created a completely new, strange phase of matter that behaves as if it has two dimensions of time.
The new phase of matter, created by using lasers to rhythmically jiggle a strand of 10 ytterbium ions, enables scientists to store information in a far more error-protected way, thereby opening the path to quantum computers that can hold on to data for a long time without becoming garbled. The researchers outlined their findings in a paper published July 20 in the journal Nature (opens in new tab).
The inclusion of a theoretical "extra" time dimension "is a completely different way of thinking about phases of matter," lead author Philipp Dumitrescu, a researcher at the Flatiron Institute's Center for Computational Quantum Physics in New York City, said in a statement. "I've been working on these theory ideas for over five years, and seeing them come actually to be realized in experiments is exciting."
Related: Otherworldly 'time crystal' made inside Google quantum computer could change physics forever
The physicists didn't set out to create a phase with a theoretical extra time dimension, nor were they looking for a method to enable better quantum data storage. Instead, they were interested in creating a new phase of matter a new form in which matter can exist, beyond the standard solid, liquid, gas, plasma.
They set about building the new phase in the quantum computer company Quantinuum's H1 quantum processor, which consists of 10 ytterbium ions in a vacuum chamber that are precisely controlled by lasers in a device known as an ion trap.
Ordinary computers use bits, or 0s and 1s, to form the basis of all calculations. Quantum computers are designed to use qubits, which can also exist in a state of 0 or 1. But that's just about where the similarities end. Thanks to the bizarre laws of the quantum world, qubits can exist in a combination, or superposition, of both the 0 and 1 states until the moment they are measured, upon which they randomly collapse into either a 0 or a 1.
This strange behavior is the key to the power of quantum computing, as it allows qubits to link together through quantum entanglement, a process that Albert Einstein dubbed "spooky action at a distance." Entanglement couples two or more qubits to each other, connecting their properties so that any change in one particle will cause a change in the other, even if they are separated by vast distances. This gives quantum computers the ability to perform multiple calculations simultaneously, exponentially boosting their processing power over that of classical devices.
But the development of quantum computers is held back by a big flaw: Qubits don't just interact and get entangled with each other; because they cannot be perfectly isolated from the environment outside the quantum computer, they also interact with the outside environment, thus causing them to lose their quantum properties, and the information they carry, in a process called decoherence.
"Even if you keep all the atoms under tight control, they can lose their 'quantumness' by talking to their environment, heating up or interacting with things in ways you didn't plan," Dumitrescu said.
To get around these pesky decoherence effects and create a new, stable phase, the physicists looked to a special set of phases called topological phases. Quantum entanglement doesn't just enable quantum devices to encode information across the singular, static positions of qubits, but also to weave them into the dynamic motions and interactions of the entire material in the very shape, or topology, of the material's entangled states. This creates a "topological" qubit that encodes information in the shape formed by multiple parts rather than one part alone, making the phase much less likely to lose its information.
A key hallmark of moving from one phase to another is the breaking of physical symmetries the idea that the laws of physics are the same for an object at any point in time or space. As a liquid, the molecules in water follow the same physical laws at every point in space and in every direction. But if you cool water enough so that it transforms into ice, its molecules will pick regular points along a crystal structure, or lattice, to arrange themselves across. Suddenly, the water molecules have preferred points in space to occupy, and they leave the other points empty; the spatial symmetry of the water has been spontaneously broken.
Creating a new topological phase inside a quantum computer also relies on symmetry breaking, but with this new phase, the symmetry is not being broken across space, but time.
Related: World's 1st multinode quantum network is a breakthrough for the quantum internet
By giving each ion in the chain a periodic jolt with the lasers, the physicists wanted to break the continuous time symmetry of the ions at rest and impose their own time symmetry where the qubits remain the same across certain intervals in time that would create a rhythmic topological phase across the material.
But the experiment failed. Instead of inducing a topological phase that was immune to decoherence effects, the regular laser pulses amplified the noise from outside the system, destroying it less than 1.5 seconds after it was switched on.
After reconsidering the experiment, the researchers realized that to create a more robust topological phase, they would need to knot more than one time symmetry into the ion strand to decrease the odds of the system getting scrambled. To do this, they settled on finding a pulse pattern that did not repeat simply and regularly but nonetheless showed some kind of higher symmetry across time.
This led them to the Fibonacci sequence, in which the next number of the sequence is created by adding the previous two. Whereas a simple periodic laser pulse might just alternate between two laser sources (A, B, A, B, A, B, and so on), their new pulse train instead ran by combining the two pulses that came before (A, AB, ABA, ABAAB, ABAABABA, etc.).
This Fibonacci pulsing created a time symmetry that, just like a quasicrystal in space, was ordered without ever repeating. And just like a quasicrystal, the Fibonacci pulses also squish a higher dimensional pattern onto a lower dimensional surface. In the case of a spatial quasicrystal such as Penrose tiling, a slice of a five-dimensional lattice is projected onto a two-dimensional surface. When looking at the Fibonacci pulse pattern, we see two theoretical time symmetries get flattened into a single physical one.
"The system essentially gets a bonus symmetry from a nonexistent extra time dimension," the researchers wrote in the statement. The system appears as a material that exists in some higher dimension with two dimensions of time even if this may be physically impossible in reality.
When the team tested it, the new quasiperiodic Fibonacci pulse created a topographic phase that protected the system from data loss across the entire 5.5 seconds of the test. Indeed, they had created a phase that was immune to decoherence for much longer than others.
"With this quasi-periodic sequence, there's a complicated evolution that cancels out all the errors that live on the edge," Dumitrescu said. "Because of that, the edge stays quantum-mechanically coherent much, much longer than you'd expect."
Although the physicists achieved their aim, one hurdle remains to making their phase a useful tool for quantum programmers: integrating it with the computational side of quantum computing so that it can be input with calculations.
"We have this direct, tantalizing application, but we need to find a way to hook it into the calculations," Dumitrescu said. "That's an open problem we're working on."
Originally published on Live Science.
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Scientists blast atoms with Fibonacci laser to make an "extra" dimension of time - Livescience.com
Researchers Find Breakthrough on Quantum Computing With Silicon Chips – TechAcute
Researchers from Simon Fraser University were successful in making a breakthrough in the field of quantum technology development. Their study paves the way for creating silicon-based quantum computing processors compatible with the existing semiconductor manufacturing technology.
The researchers light up the silicon chips tiny defects with intense light beams. Stephanie Simmons, the principal investigator of the research, explains that the imperfections of the chips serve as an information carrier. Investigators point out that the tiny defect reflects the transmitted light.
Some of the naturally occurring silicon imperfections may act as quantum bits or qubits. Scientists consider these defects as spin qubits. Also, previous research shows how silicon produces long-lived and stale qubits.
Daniel Higginbottom, their lead author, considers this breakthrough promising. He explains that the researchers were able to combine silicon defects with quantum physics when it was considered to be impossible to do before.
Furthermore, he notes that while silicon defects have been studied extensively from the 1970s to the 1990s and quantum physics research being done for decades, its only now that they saw these two studies come together. He says that by utilizing optical technology in silicon defects[theyve] have found something with applications in quantum technology thats certainly remarkable.
Simmons acknowledges that quantum computing is the future of computers with its capability to solve simple and complex problems, however, its still in its early stages. But with the use of silicon chips, the process can become more streamlined and bring quantum computing faster to the public than expected.
This study demonstrates the possibility of making quantum computers with enough power and scale to manage significant computation. It gives an opportunity for advancements in the fields of cybersecurity, chemistry, medicine, and other fields.
Photo credit: The feature image is symbolic and has been taken by Solar Seven.Sources: Chat News Today / Quantum Inspire
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Researchers Find Breakthrough on Quantum Computing With Silicon Chips - TechAcute
Quantum networking: Defining the next wave of networking and communications – TechRepublic
Ed Fox, CTO of MetTel, explains quantum networking and how it will transform communications.
For many, quantum computing remains an abstract concept a far-off dream of titanic supercomputers able to process and solve problems millions of times faster than your average machine. The reality is actually a lot closer than many of us would think.
In fact, early adoption of quantum computing has already begun with Google releasing its experimental quantum computer back in 2019, and a whole host of tech giants, enterprising start-ups, and cutting-edge labs pouring billions into the research and development of quantum. It shows quantum isnt a fad. The evolution of the quantum computer will continue to accelerate over the coming years, with a string of recent scientific and technological breakthroughs signalingits inexorable rise towards more widespread application across the mainstream business world.
SEE: Metaverse cheat sheet: Everything you need to know (free PDF) (TechRepublic)
There are exciting times ahead, with quantum unlocking a wealth of new opportunities across various industries, sectors and verticals. One such example is the communications industry, which is set to enjoy the emergence and subsequent rise of one of quantums most impressive offshoots quantum networks.
Currently, due to various limitations, its almost impossible to transport data stored in a quantum computer. This restricts all process to the quantum computer in question, with any quantum information generated only able to be shared between one other quantum computer.
The collaborative nature of our world, with instant access to information (anytime, anyplace) the absolute norm, means that information shared between only two machines could almost be called antiquated ironic considering the cutting-edge nature of quantum computers.
However, researchers in the Netherlands have recentlyengineered a significant breakthrough, enabling quantum information to move across vast distances between two (even three) quantum computers via the use of an intermediary node. This takes place by manipulating a quantum theory known as entanglement whereby entangled particles replicate and enable quantum information to be transported across vast distances instantaneously and between more than two machines.
So, while closely connected, quantum computing and quantum networking do operate as independent industries. However, its safe to say that quantum computing will struggle to realize its full potential without effective introduction and use of quantum networks but what will this actually look like in the world of communications?
At its essence, quantum networking will fundamentally change how data is sent and received. If managed effectively, quantum networks also known as the quantum internet could drive a metamorphic change to the way the internet operates, carving out the true network of the future.
Wed live in a world with the potential for almost zero latency it would only be present when processing at the send/receive end of the network. Added to this, quantum networks would almost entirely eliminate physical network infrastructure. In other words, the copper and fibre optic cables that traverse our planet (often underneath our seas and oceans) would become redundant.
Perhaps most tangibly, any quantum information transported between two quantum computers (or more) becomes completely inaccessible during its journey, meaning no-one can intercept it. Picture a world where your data is 100% (and we mean 100%) protected unconditional security. It could spell the end of cybercrime as we know it.
Researchers alsopredict quantum networks and computers will help accelerate the invention of new medicines and critical vaccines, as well as support even more advanced use of artificial intelligence (AI).
In communications building on the benefits of absolute data security and instant delivery of information quantum devices will enable higher performance for sensors, such as high-accuracy GPS. We may also witness the birth of the quantum cloud. By connecting distributed quantum computers, users will possess instant access to a crack-proof data cloud, with higher speeds and more capacity than any cloud thats come before.
Of course, its very early days for the quantum network and computer. Were only scratching the surface when it comes to the exciting opportunities and complex challenges they present. An end to cybercrime and other such predictions are exactly that: Predictions.
But its safe to say that quantum computing will only continue its relentless march, as our understanding of its potential and investment in its evolution grows. Those who stay educated and aware of its unceasing development with discoveries and breakthroughs happening monthly will be primed and ready to take advantage of its awesome power as it becomes more accessible and affordable over the coming years.
Ed Fox is CTO of MetTel, a leader in communications and digital transformation (DX) solutions for enterprise customers.
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Quantum networking: Defining the next wave of networking and communications - TechRepublic
Humble Named Director of the Quantum Science Center – HPCwire
Aug. 9, 2022 Travis Humble has been named director of the Quantum Science Center headquartered at the Department of Energys Oak Ridge National Laboratory. The QSC is a multi-institutional partnership that spans industry, academia and government institutions and is tasked with uncovering the full potential of quantum materials, sensors and algorithms.
Humble was named deputy director in 2020, when DOE established this five-year, $115 million effort as one of five National Quantum Information Science Research Centers. Following the departure of former QSC Director David Dean, Humble began serving as interim director in January.
I am excited to be working at the forefront of quantum science and technology with this amazing team of scientists and engineers, he said. The QSC provides a wonderful opportunity to leverage our nations best and brightest for solving some of the most interesting scientific problems of our time.
As interim director, Humble has overseen the QSCs three primary focus areas: quantum materials discovery and development, quantum algorithms and simulation, and quantum devices and sensors for discovery science. In his new role, he will continue collaborating with QSC partner institutions including ORNL, Los Alamos National Laboratory, Fermi National Accelerator Laboratory, Purdue University, Microsoft and IBM.
A distinguished ORNL scientist, Humble also directs the laboratorys Quantum Computing Institute and the Oak Ridge Leadership Computing Facilitys Quantum Computing User Program. The QSC leverages DOE user facilities, including the OLCF, to solve research problems.
Humble joined ORNL as an intelligence community postdoctoral research fellow in 2005, then became a staff member in 2007. He received a bachelors degree in chemistry from the University of North Carolina Wilmington and a masters degree and doctorate in theoretical chemistry from the University of Oregon.
As QSC director, Humble will prioritize the development of quantum materials for quantum computing and quantum sensing, as well as the application of these technologies to aid scientific discovery, improve the nations security and energy efficiency, and ensure economic competitiveness. Other goals include demonstrating the advantages of early quantum computers and advancing methods for probing the fundamental physics of quantum matter.
By addressing current quantum challenges and expanding workforce development activities focused on recruitment and training, Humble anticipates that the QSCs leadership role in the ongoing quantum revolution will continue to grow.
Humble also serves as an assistant professor with the University of Tennessee, Knoxvilles Bredesen Center for Interdisciplinary Research and Graduate Education, editor-in-chief for ACM Transactions on Quantum Computing, associate editor for Quantum Information Processing and co-chair of the Institute of Electrical and Electronics Engineers Quantum Initiative.
Now in his 17th year at ORNL and more passionate about the future of quantum than ever, Humble is positioning the QSC to shape quantum research and technologies at national and international scales.
Quantum science and technology are transformative paradigms, and we have only scratched the surface of what is possible, he said. The QSC will bring new discoveries in materials, computing and sensing that promote a deeper understanding of these ideas and prepare us for the next generation of quantum technologies.
The QSC, a DOE National Quantum Information Science Research Center led by ORNL, performs cutting-edge research at national laboratories, universities, and industry partners to overcome key roadblocks in quantum state resilience, controllability, and ultimately the scalability of quantum technologies. QSC researchers are designing materials that enable topological quantum computing; implementing new quantum sensors to characterize topological states and detect dark matter; and designing quantum algorithms and simulations to provide a greater understanding of quantum materials, chemistry, and quantum field theories. These innovations enable the QSC to accelerate information processing, explore the previously unmeasurable, and better predict quantum performance across technologies. For more information, visitqscience.org.
UT-Battelle manages ORNL for DOEs Office of Science, the single largest supporter of basic research in the physical sciences in the United States. DOEs Office of Science is working to address some of the most pressing challenges of our time. For more information, visithttps://energy.gov/science.
Source: ORNL
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Humble Named Director of the Quantum Science Center - HPCwire
Vitalik Buterin, The Future Of Ethereum (ETH) And The Challenge Of Quantum Computing – Nation World News
Vitalik Buterin believes that the future of the Ethereum blockchain and crypto ETH is good, but there are many challenges to be solved.
Not long ago the founder of Ethereum made public about the future of blockchain which is widely used for various crypto projects. Heres the gist of what he told BUIDL in Asia programahead of plan Sickness going to Ethereum 2.0 Which will be held in September 2022.
The ZK-Rollup project is considered the most important foundation Example The Ethereum blockchain is getting widespread.
There are ZK-rollups Crypto transaction protocol that allows indirect transactions via the Ethereum blockchain aka off-chain,
This method will radically speed up transactions and increase their volume. In the end this will increase efficiency and expand Example Ethereum blockchain itself, including adoption ETH As for its crypto.
This technique is similar to the technique power network Used to improve from 2018 Example Blockchain Litecoin and Bitcoin.
In the long term, ZK-rollups will outperform optimistic rollup techniques, Vitalik said.
Again according to Vitalik, Ethereum developers should be prepared to face the threat of quantum computing, which is expected to get exponentially better in terms of speed.
The discourse on quantum computing, which is considered a major threat to current blockchain technology, including bitcoin, has been going on since 4 years ago.
Because at that time quantum computing technology experienced significant development, after it was proved that it is capable of computing very complex calculations in just 10 minutes. If you use todays supercomputers, it could take up to thousands of years.
Quantum computing does not rely on the combination of 0 or 1 numbers, binary numbers, but on the concept of qubitwhere two states Can run at once, i.e. 0 or 1 and 0 and 1. This may be because the processor does not take advantage of the electrical dynamics of transistors, but particles at the subatomic level.
This means that the computational speed is millions of times higher than that of todays supercomputers and is expected to continue to increase in the future to make it easier for humans to do their jobs.
The problem is that the smarter quantum computers are, the more they threaten current human cryptographic security systems, including the bitcoin blockchain that uses SHA256.
Vitalik Buterin: Googles quantum computer failed
This huge growth in quantum computing was noted by Vitalik last year, that the power of new computers is not a threat now, but will be in the future.
This is because quantum computing promises a new world of derivative technology, but at the same time poses a threat to traditional technology. This is exactly what happened when the first supercomputer was developed.
You can read the Blockchainmedia.id archive Related to quantum computing on this page,
We are currently working with several artificial intelligence researchers to develop new algorithms that can compete with the high capabilities of quantum computing. This is still a long way off, between 10-30 years from now, said Vitalik. he said. [ps]
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Vitalik Buterin, The Future Of Ethereum (ETH) And The Challenge Of Quantum Computing - Nation World News
Spintronics, 2D Materials, and the Future of Quantum – AZoNano
Spintronics is an emerging technology that exploits the intrinsic quantum properties of particles like the electron, and the associated particle angular moment, called spin, in addition to the particle's electric charge.
Image Credit:Jurik Peter/Shutterstock.com
The dynamic control of the electron spin offers possibilities for creating novel quantum-mechanical devices, such as spin transistors, spin valves, and high-density memory. Spintronic systems are of particular interest in the field of quantum sensing, computing, and data processing.
Conventional electronic devices rely on the generation, transport, manipulation, and detection of electric charge carriers, such as electrons and holes.
Spintronics employs the intrinsic angular momentum of the particles (spin) together with their electric charge. The electrons exist either in spin-up or spin-down states, which can represent 0s and 1s in logic operations.
However, to build spintronic devices, the properties of the materials are crucial. In most materials, the spin-up and spin-down magnetic moments cancel each other, making them unsuitable for spintronic applications. In ferromagnetic materials, particles with the same spin state can accumulate in a majority-up and majority-down domains.
The spin state in these randomly scattered domains can be easily manipulated by the application of external magnetic fields. In addition, the transfer of electron spin-states between different materials and their reliable detection is also of great importance for spintronics.
Spintronics: The Technology Revolution Youve Probably Never Heard OfPlay
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Most of the existing spin-based devices, such as giant magnetoresistance-based memory and spin valves, are passive spintronic elements. In such spintronic devices, the material's resistance or tunneling current in the system depends on the spin direction controlled by local magnetic fields.
The goal of the engineers and physicists developing spintronics is to move the field beyond the passive spin devices and create applications based on dynamic spin control. The two physical principles underlying the current interest in spintronics are the quantum-mechanical nature of the spin and the extended coherence time of the spin states. In particular, the coherence, or the stability of the quantum states with time, is an essential factor for spintronic and quantum applications.
By actively manipulating the spin of the charge carrier particles with spin-dependent properties, researchers envisage that they can create spin transistors, spin filters, and new memory devices suitable for quantum information processing and computation.
In these devices, the spin polarization can be controlled via spin-orbit coupling (the interaction between the particle spin and its orbital momentum), and spin waves, or magnons, can carry spin current through the material without energy loss.
Twodimensional (2D) materials have been drawing tremendous attention in spintronics because of their distinctive spindependent properties, such as long spin relaxation times, diffusion lengths and strong spin-orbit coupling.
Furthermore, the rapid advance in nanotechnology has enabled scientists to combine several preferred properties in one superior material through van der Waals stacking of two or more 2D material layers.
Graphene, with its high charge carrier mobility, extended spin lifetime, and long diffusion length, emerged as an excellent platform for fundamental spintronic research and eventual spintronics devices.
Recently, several research groups demonstrated spin injection in graphene at room temperature using a cobalt electrode. Spin detection has also been achieved by comparing spin-up and spin-down local currents. However, because of its zero bandgap and weak spin-orbit coupling, the material has limitations in building advanced spintronic devices, such as logic gates.
In contrast, 2D transition metal dichalcogenides, transition metal carbides, nitrides, carbonitrides, and organometallic sheets exhibit tunable bandgap and strong spin-orbit coupling, enabling reliable spin logic and non-volatile data storage.
The development of magnetic 2D materials with high Curie temperature is of particular interest, such as organometallic layered structures with embedded transition metal atoms. Such materials have been used to fabricate magnetic tunnel junction devices (ferromagnetic layers separated by a nonmagnetic layer), where the current can be controlled by the relative magnetization of the outer layers. Combining spin valves and magnetic tunnel junctions with the spin-transfer-torque writing write mechanism enabled researchers to create non-volatile high-speed magnetic random access memory.
There are several outstanding challenges related to the stability of the 2D materials and their manufacturing. Due to their atomic thickness, 2D spintronic devices are highly susceptible to moisture, oxidation, and thermal damage, thus requiring operation in a protected environment. Besides, the Curie temperature of most of the 2D magnetic materials is far below room temperature.
Most 2D materials are fabricated through mechanical exfoliation and stacking, which is time-consuming and expensive. Developing 2D materials suitable for wafer-scale synthesis and operation at ambient conditions are prerequisites for their wider adoption in spintronic applications.
Spintronics is at the point of becoming a mainstream technology similar to semiconductor-based microelectronics. Ongoing research and development efforts aim to integrate spintronics and photonics into a common platform for light-based and spin-based quantum computing. By using specially designed photonic circuits, researchers are hoping to be able to control the electron spin dynamics in nanostructured 2D magnetic materials when excited by short laser pulses.
Ahn, E.C. (2020) 2D materials for spintronic devices. npj 2DMaterials andApplications, 4, p. 17. Available at: https://doi.org/10.1038/s41699-020-0152-0
Hu, G & Xiang, B. (2020) Recent Advances in Two-Dimensional Spintronics. Nanoscale Res Letters,15, p. 226. Available at: https://doi.org/10.1186/s11671-020-03458-y
Feng, Y.P., et al. (2017) Prospects of spintronics based on 2D materials. WIREs Comput Mol Sciences, 7, p. e1313. Available at: https://doi.org/10.1002/wcms.1313
Awschalom, D. D., et al. (2013) Quantum spintronics: engineering and manipulating atom-like spins in semiconductors. Science, 8, p. 339, 6124-1174-9. Available at: https://doi.org/10.1126/science.1231364
Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.
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NYU Langone, Fermilab to enhance, speed up quantitative MR with quantum computing – DOTmed HealthCare Business News
NYU Langone and Fermilabs Superconducting Quantum Materials and Systems Center have proposed a pilot program to study a new method in MR imaging that combines quantitative MR (qMR) with quantum computing.
The two would develop algorithms that quantum computers could use to accurately and rapidly determine multiple tissue properties from MR scans. While quantum computing would speed up and make scans more accurate, the algorithms would improve qMR for clinical use to allow doctors to confirm interpretations by comparing MR scans based on statistics and machine learning, rather than inconsistencies in image contrast.
We expect to be able to model a large number of properties and the interactions among them to obtain a more comprehensive picture of the underlying structure of the imaged tissues. This will be possible not just because quantum computers enable faster generation of the large models, but also because they are better suited than traditional computers to model the interactions between tissue properties in MR, since they are governed by the laws of quantum mechanics, Dr. Riccardo Lattanzi, an associate radiology professor at NYU Grossman School of Medicine and principal investigator, told HCB News.
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The data is held within the 3D pixels of MR scans, which quantum computers can use to measure properties to assess and monitor patient health across multiple scans. It also can speed up measurements and create more accurate MR simulations to show the underlying properties of the MR data fingerprints.
Having multiple quantitative parameters that reflect the underlying properties of tissues improves detection of lesions and pathologies. Furthermore, by looking at them from different angles (i.e., by having multiple biophysical parameters estimated for the same pixel), we can also better characterize these lesions to help create personalized treatments," said Lattanzi.
He adds that another potential application is being able to generate digital twins to detect and characterize abnormalities.
SQMS Center is made up of 23 institutions studying the use of quantum computing. The partnership is the first one it has undertaken for directly advancing healthcare.
NYU has received DOE Office of Science approval to become a member of the SQMS Center.
The collaboration is pending final approval of a formal agreement between NYU and Fermi Research Alliance, which manages Fermilab.
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NYU Langone, Fermilab to enhance, speed up quantitative MR with quantum computing - DOTmed HealthCare Business News
Global Quantum Computing Market To Be Driven By Growing End Use Sectors In The Forecast Period Of 2021-2026 – Digital Journal
The new report by Expert Market Research titled, GlobalQuantum Computing Market GrowthSize, Share, Price, Trends, Growth, Analysis, Key Players, Outlook, Report, Forecast 2021-2026, gives an in-depth analysis of the Global Quantum Computing Marketassessing the market based on its segments like offering, application, end use and major regions. The report tracks the latest trends in the industry and studies their impact on the overall market. It also assesses the market dynamics, covering the key demand and price indicators, along with analysing the market based on the SWOT and Porters Five Forces models.
Request a free sample copy in PDF or view the report[emailprotected]https://bit.ly/3mhR1Lj
The key highlights of the report include:
Market Overview (2016-2026)
The services category is expected to hold a considerable part of the market based on its offerings. This is due to the increasing use of quantum computing as a service (QCaaS) in industries such as healthcare and pharmaceuticals, chemicals, defence, and banking, among others. Quantum computers are extremely quick and efficient, capable of doing calculations in milliseconds. As a result, they are widely employed in many businesses, particularly in the BFSI sector, to speed up procedures. Meanwhile, the market has benefited from the increased usage of this technology in optimisation, simulation, and machine learning applications in various end-use sectors to achieve optimal utilisation cost.
Industry Definition and Major Segments
Quantum computing is an area of computer science that focuses on building computer technology based on quantum theory ideas. It is the use of quantum state collective features like superposition and entanglement to accomplish computation.
On the basis of offering, the market is segmented into:
Based on application, the product can be segmented into:
The industry finds its end use into:
The report also covers regional market like North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
Explore the full report with the table of[emailprotected]https://bit.ly/3mmgfZ2
Market Trend
The global quantum computing business is being propelled forward by rising demand in a variety of end-user industries, including defence, financial services, and others. Rapid technical breakthroughs and a rising reliance of many industries on sophisticated computing technologies to solve complicated problems that even todays most powerful supercomputers cannot handle are driving market expansion. Health and pharmaceuticals, chemicals, energy and electricity, and other growing sectors in emerging economies are all contributing considerably to the industrys growth. The governments increasing investments in quantum computing technology in order to develop improved solutions and expand their knowledge base related to the technology will accelerate the market growth.
Key Market Players
The major players in the market are Microsoft Corporation, IBM Corporation, Intel Corporation, Google Inc., and D-Wave Systems Inc., among others. The report covers the market shares, capacities, plant turnarounds, expansions, investments and mergers and acquisitions, among other latest developments of these market players.
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Over 3000 EMR consultants and more than 100 analysts work very hard to ensure that clients get only the most updated, relevant, accurate and actionable industry intelligence so that they may formulate informed, effective and intelligent business strategies and ensure their leadership in the market.
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Global Quantum Computing Market To Be Driven By Growing End Use Sectors In The Forecast Period Of 2021-2026 - Digital Journal
Quantum Computing Market Size, Scope, Growth Opportunities, Trends by Manufacturers And Forecast to 2029 – This Is Ardee
New Jersey, United States This Quantum Computing Market research works as the best evaluation tool to track the progress of the industry and keep an eye on the competitors growth strategies. It further helps to keep you ahead of your business competitors. This report depicts a few potential problems and gives solutions to them by doing comprehensive research on the market scenario. Valuable information is provided here about a particular market segment according to product type, application, region type, and end user. By referring to this comprehensive Quantum Computing market analysis report, it becomes possible for organizations to monitor the efficiency of sales, determine the quality of services offered by competitors, estimate the competition level in the market and understand the communication channels followed by competitors in the market.
This Quantum Computing Market research report covers career outlooks, regional marketplaces, and an overview of the expectations of a number of end-use sectors. With the help of relevant market data, key organizations are able to obtain a competitive benefit over the competitors in the market and attain the best results for business growth. Furthermore, this Quantum Computing market analysis report emphasizes doing a comparison between several various geographical markets in key regions such as North America, Europe, Middle East, Africa, Latin America, and Asia Pacific. It aims at covering complex structures to classifications to an easy-to-follow overview of different business sectors.
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Key Players Mentioned in the Quantum Computing Market Research Report:
Qxbranch QC Ware Corp., International Business Machines Corporation (IBM), D-Wave Systems Inc., 1qb Information Technologies Inc., Cambridge Quantum Computing Ltd, Station Q Microsoft Corporation, River Lane Research, Rigetti Computing, Research at Google Google Inc
A massive amount of information presented in this Quantum Computing Market report helps business players to make beneficial decisions. Some of the major key aspects covered in this market analysis are key performance indicators, customer acquisition, and manufacturers list. Performance results of the marketing plan are also covered in this market analysis report. This market study report enables to bring the improvements required in the business. It further talks about how COVID-19 caused huge trauma in several major sectors. Key marketing channels, market growth opportunities, core marketing strategy, and current scope of the business are some of the major factors discussed in this report. It further briefs on the current position of the market. It depicts the effect of metrics on market trends, revenue, and leads.
Quantum ComputingMarket Segmentation:
Quantum Computing Market, By Offering
Consulting solutions Systems
Quantum Computing Market, By Application
Optimization Machine Learning Material Simulation
Quantum Computing Market, By End User
Space and Defense Automotive Healthcare Banking and Finance Chemicals Energy & Power
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For Prepare TOC Our Analyst deep Researched the Following Things:
Report Overview:It includes major players of the Quantum Computing market covered in the research study, research scope, market segments by type, market segments by application, years considered for the research study, and objectives of the report.
Global Growth Trends:This section focuses on industry trends where market drivers and top market trends are shed light upon. It also provides growth rates of key producers operating in the Quantum Computing market. Furthermore, it offers production and capacity analysis where marketing pricing trends, capacity, production, and production value of the Quantum Computing market are discussed.
Market Share by Manufacturers:Here, the report provides details about revenue by manufacturers, production and capacity by manufacturers, price by manufacturers, expansion plans, mergers and acquisitions, and products, market entry dates, distribution, and market areas of key manufacturers.
Market Size by Type:This section concentrates on product type segments where production value market share, price, and production market share by product type are discussed.
Market Size by Application:Besides an overview of the Quantum Computing market by application, it gives a study on the consumption in the Quantum Computing market by application.
Production by Region:Here, the production value growth rate, production growth rate, import and export, and key players of each regional market are provided.
Consumption by Region:This section provides information on the consumption in each regional market studied in the report. The consumption is discussed on the basis of country, application, and product type.
Company Profiles:Almost all leading players of the Quantum Computing market are profiled in this section. The analysts have provided information about their recent developments in the Quantum Computing market, products, revenue, production, business, and company.
Market Forecast by Production:The production and production value forecasts included in this section are for the Quantum Computing market as well as for key regional markets.
Market Forecast by Consumption:The consumption and consumption value forecasts included in this section are for the Quantum Computing market as well as for key regional markets.
Value Chain and Sales Analysis:It deeply analyzes customers, distributors, sales channels, and value chain of the Quantum Computing market.
Key Findings:This section gives a quick look at the important findings of the research study.
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Original post:
Quantum Computing Market Size, Scope, Growth Opportunities, Trends by Manufacturers And Forecast to 2029 - This Is Ardee
Hilbert space to Outer Space | Science and Technology – Science and Technology
Hilbert space to Outer Space
Dr. Vinod Gehlot, JPL Postdoctoral Fellow
Thursday, July 28 @ 12:00 pm (PT) 180-101 and via WebEx
Abstract:This talk will showcase the exciting developments in Dynamic Stability of Multi-Agent Systems, Quantum Computing for Robotics, and the Lunar Crater Radio Telescope (LCRT) anchoring systems. In designing robotic formations, guarantees on the closed-loop behavior of individual robots or agents do not translate to guarantees on the overall multi-agent system. This talk introduces a novel control architecture that ensures dynamic stability in multi-agent formations and simultaneously prevents inter-agent collisions. Quantum computing and control have the potential to revolutionize robotic and space applications, and this talk will introduce an approach to solving ordinary differential equations using quantum circuits and discuss the possibilities and current challenges. Finally, this talk will also discuss the design and development of the anchoring system and its deployment for the kilometer-sized Lunar Crater Radio Telescope.
About the speaker:Vinod Gehlot is a JPL Postdoctoral Fellow in the Maritime and Multi-Agent Autonomy Group (347N) in the Robotic and Mobility section. Before JPL, he was a TEES Research Engineer in the mechanical engineering department at Texas A&M University (TAMU) in College Station, Texas. He received his Bachelor of Science and Master of Science degrees in aerospace engineering from Embry-Riddle Aeronautical University in Daytona Beach, Fl, and his Ph.D. from the University of Tennessee, Knoxville. Vinod is passionate about robotics, dynamics, control & estimation theory, quantum computing and control, adaptive systems, and multi-agent control and dynamics. He has authored three patents on the mechanical implementation of counter-rotation mechanisms in axial compressors for aircraft gas turbine engines. Besides his academic endeavors, Vinod has extensive experience developing high-performance embedded hardware and software using Field Programmable Gate Arrays (FPGAs).
WebEx Info: https://jpl.webex.com/jpl/j.php?MTID=m2aae879bb058fdaeddbd92c104a2956c
Meeting number (access code): 2761 571 6818Meeting password: KUqxPMNg746
Read more from the original source:
Hilbert space to Outer Space | Science and Technology - Science and Technology