Category Archives: Quantum Computing
John Hill Named Brookhaven Lab’s Deputy Director for Science and … – HPCwire
UPTON, N.Y., July 20, 2023 John Hill, a distinguished physicist who is widely recognized as a world leader in x-ray scattering research, has been named deputy director for science and technology (DDST) at the U.S. Department of Energys Brookhaven National Laboratory, effective July 1.
Hills appointment comes after an international search that began in March 2022, when current DDST Robert Tribble announced his plans to step down after eight years in the position.
John Hill offers vision, institutional knowledge, and a track record of sound leadership, said JoAnne Hewett, who was named the next director of Brookhaven Lab in April. I look forward to working with him and the entire Brookhaven Lab community at the forefront of science.
Jack Anderson is serving as interim director until Hewett joins the Lab later this summer.
In his new position, Hill will work closely with Hewett, the Labs science leaders, and the Brookhaven Science Associates (BSA) Board of Directors and its committees in charting the Laboratorys future research directions (BSA, a partnership between Stony Brook University and Battelle, manages and operates the Lab on behalf of the DOE Office of Science).More than 2,600 scientists, engineers, technicians, and professionals at Brookhaven are currently working to address challenges in nuclear and high energy physics, clean energy and climate science, quantum computing, artificial intelligence, isotope research and production, accelerator science and technology, and national security.
I am incredibly excited to be taking on this role, said Hill. Brookhaven Lab has a long history of carrying out world-leading science for the benefit of the Nation and I am honored to be chosen to help lead the Lab as we continue that tradition and seek to answer some of the most important scientific questions facing the world today.
Brookhaven celebrated its 75th anniversary in 2022 and is home to seven Nobel Prize-winning discoveries and countless advances. Its 5,322-acre site attracts scientists from across the country and around the world, offering them expertise and access to large user facilities with unique capabilities. Each year, Brookhaven hosts thousands of guest researchers and facility usersin-person and virtuallyfrom universities, private industry, and government agencies. The Labs annual budget is approximately $700 million, much of which is funded by the DOE and its Office of Science.
Longtime Scientist, Leader
Hill, a long-time employee of Brookhaven Lab, joined its Physics Department as a postdoc in 1992. He progressed through the ranks and has been director of the National Synchrotron Light Source II (NSLS-II), a DOE Office of Science User Facility located at Brookhaven, since 2015.
NSLS-II is one of the most advanced synchrotron light sources in the world. It produces ultra-bright x-rays for researchers to study materials for advances in energy, quantum computing, medicine, and more.
In addition, Hill has served as deputy associate laboratory director for energy and photon sciences since 2013. He also chaired Brookhaven Labs COVID-19 science and technology working group and represented Brookhaven as a member of DOEs National Virtual Biotechnology Laboratory, a consortium comprising all 17 national laboratories working to address challenges in the fight against COVID-19.
Hills research has focused on using resonant elastic and inelastic x-ray scattering to study magnetic and electronic phenomena. He has authored more than 120 articles published in peer-reviewed journals.
Hill has been recognized with both a Presidential Early Career Award and a DOE Young Independent Scientist Award. He was elected a fellow of the American Physical Society. Brookhaven Lab awarded Hill its Science and Technology Awardone of the Labs highest accoladesin 2012.
Hill earned a Ph.D. in physics from the Massachusetts Institute of Technology. He earned his bachelors degree in physics from Imperial College in London.
He lives in Stony Brook, NY.
Brookhaven National Laboratory is supported by the Office of Science of the U.S. Department of Energy. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visitscience.energy.gov.
Source: Brookhaven National Lab
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John Hill Named Brookhaven Lab's Deputy Director for Science and ... - HPCwire
Google Quantum Computer Is So Fast It’s Scary – Giant Freakin Robot
By Sean Thiessen| Updated 7 mins ago
Whats faster than a supercomputer? A Google quantum computer, thats what. As reported by Science Alert, scientists trailblazing in the strange world of quantum computing just ran a number-crunching test with the Sycamore quantum computer. It accomplished in seconds what it would take the Frontier, the worlds most powerful supercomputer, 47 years to complete.
Googles quantum computer is now the most powerful machine in existence and its just getting started.
The test used random circuit sampling, a synthetic benchmark that measures how fast the quantum computer can take readings from random quantum processes. The team estimated how quickly the worlds fastest supercomputer could do the same thing, and the difference was staggering.
If you are reading this with a friend and nodding, pretending to understand, youre not alone. The Google quantum computer uses processes related to fields like matrix theory and quantum chaos not exactly light reading.
The first thing to know about quantum computers is that they have nothing to do with Ant-Man. Machines like the Google quantum computer process information by utilizing processing happening at the quantum level. They operate in the realm of probabilities under a paradigm totally different from traditional computers.
Instead of operating on a system of bits, quantum computers use qubits, which can simultaneously represent a 1, a 0, or both. If this all sounds finicky, you are right. The Google quantum computer can only operate in specific conditions and is subject to error thanks to quantum noise.
However, this unavoidable system frailty is being illuminated as tests continue.
While some argue that the random circuit sampling success of the Google quantum computer is not a fair benchmark because it is a totally impractical application, the folks behind the controls on the machine are asserting that the future is quantum.
The field is young and still a long way from where it needs to be, but researchers are calling the latest milestone in quantum computing the clear indicator that quantum supremacy is imminent, if not already here.
It is not likely that your laptop in 10 years will be a Google quantum computer, but the technology does hold promise for large-scale applications, such as cybersecurity, energy storage, artificial intelligence, weather forecasting, and more.
Google quantum computers will eventually change everything, but its still a long way off.
The technology is not even close to being scalable, but the field is moving fast. A computer doing in a few seconds what another would take nearly half a century to achieve is a mind-boggling idea. It is too abstract to truly grasp the gravity of it, but the comparison makes one thing clear: the Google quantum computer is going to change the world.
When that change will arrive is still a mystery. Scientists have debated for years about whether or not quantum computers could ever become a viable alternative to traditional computers. The field is fuzzy and challenging to grasp, but continued experimentation is unraveling the mysteries of quantum mechanics.
It may not be an Ant-Man computer, but the Google quantum computer might be the next step toward a more high-tech future. As quantum technology advances alongside artificial intelligence and alternative fuel, there is no telling what the world will look like in mere decades.
If the researchers at Google have anything to say about it, the future will be quantum.
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Google Quantum Computer Is So Fast It's Scary - Giant Freakin Robot
Google Quantum Computer Is ’47 Years’ Faster Than #1 Supercomputer – ScienceAlert
Progress towards fully capable and practical quantum computers isn't slowing down, and researchers from Google are the latest to announce a significant step forward in the capabilities of today's machines.
While we call these devices quantum computers, they're more like prototypes of what quantum computers can be: At present they require super-specific, extreme conditions to operate in, and struggle to stay stable and error-free.
Despite those limitations, their computing potential is becoming more impressive all the time.
The latest system run by Google has a total of 70 operational qubits the quantum equivalents of classical bits that can represent 1, or 0, or both at the same time, potentially allowing for certain calculations to be performed at astonishing speeds.
Specifically, the team used a complex, synthetic benchmark called random circuit sampling, which is exactly what it sounds like taking readings from randomly generated quantum processes.
This maximizes the speed of critical actions, reducing the risk of outside noise destroying the calculation. They then estimated how long it would take existing supercomputers to run the same sums.
"We conclude that our demonstration is firmly in the regime of beyond-classical quantum computation," write the researchers in their recent paper.
The Frontier supercomputer, currently the most powerful computer in the world, would take a little over 47 years to crunch the same numbers, the researchers suggest, whereas the Sycamore quantum computer managed it in mere seconds.
A group including Google engineers did something similar in 2019, with 53 qubits. Then, as now, there's a debate to be had about how useful and practical these particular simulations are, and how fair (or otherwise) it is to compare supercomputer performance to what has been managed here.
Nevertheless, the Google team is clear in its claims that this demonstrates quantum supremacy: the idea that quantum computers really can deal with processes above and beyond anything that even the fastest classical computers can cope with.
The new experiments also tell us more about how quantum noise the inherent uncertainty and fragility in a quantum computer as it operates in the fuzzy landscape of probabilities can have an impact on processes as they're running, and in some cases lead to new phases (or states) in a quantum system.
Working through this noise to correctly record qubit states is essential in getting quantum computers functioning properly, and we've seen scientists try and tackle the problem in a variety of ways in the past.
According to Steve Brierley, chief executive at quantum company Riverlane in the UK, these latest experiments represent another "major milestone" in quantum computing research.
"The squabbling about whether we had reached, or indeed could reach, quantum supremacy is now resolved," Brierley told The Telegraph.
A paper on the new research is available on arXiv but has yet to be peer reviewed.
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Google Quantum Computer Is '47 Years' Faster Than #1 Supercomputer - ScienceAlert
Quantum Computing On A Commodore 64 In 200 Lines Of BASIC – Hackaday
The term quantum computer gets usually tossed around in the context of hyper-advanced, state-of-the-art computing devices. But much as how a 19th century mechanical computer, a discrete computer created from individual transistors, and a human being are all computers, the important quantifier is how fast and accurate the system is at the task. This is demonstrated succinctly by [Davide dakk Gessa] with 200 lines of BASIC code on a Commodore 64 (GitHub), implementing a range of quantum gates.
Much like a transistor in classical computing, the qubit forms the core of quantum computing, and we have known for a long time that a qubit can be simulated, even on something as mundane as an 8-bit MPU. Ergo [Davide]s simulations of various quantum gates on a C64, ranging from Pauli-X, Pauli-Y, Pauli-Z, Hadamard, CNOT and SWAP, all using a two-qubit system running on a system that first saw the light of day in the early 1980s.
Naturally, the practical use of simulating a two-qubit system on a general-purpose MPU running at a blistering ~1 MHz is quite limited, but as a teaching tool its incredibly accessible and a fun way to introduce people to the world of quantum computing.
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Quantum Computing On A Commodore 64 In 200 Lines Of BASIC - Hackaday
A quantum Szilard engine that can achieve two-level system hyperpolarization – Phys.org
This article has been reviewed according to ScienceX's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:
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by Ingrid Fadelli , Phys.org
Quantum computers, machines that perform computations exploiting quantum mechanical phenomena, could eventually outperform classical computers on some tasks, by utilizing quantum mechanical resources such as state superpositions and entanglement. However, the quantum states that they rely on to perform computations are vulnerable to a phenomenon known as decoherence, which entails the loss of quantum coherence and shift to classical mechanics.
Researchers at Karlsruhe Institute of Technology in Germany and Quantum Machines in Israel have recently carried out an experiment aimed at better understanding how environments could be improved to prevent the decoherence of quantum states, thus enhancing the performance of quantum computing hardware. In their paper, published in Nature Physics, they demonstrated the use of a quantum Szilard engine, a mechanism that converts information into energy, to achieve a two-level system hyperpolarization of a qubit environment.
"One of the biggest challenges of quantum superconducting circuits is preserving the coherence of quantum states," Ioan Pop and Martin Spiecker, two of the researchers who carried out the study, told Phys.org. "This is quantified by the energy relaxation time T1 and the dephasing time Tphi. While doing T1 energy relaxation measurements, we noticed that the qubit relaxation was not the same for different initialization sequences, similar to the observations of Gustavsson et al, published in Science in 2016. This motivated us to design and implement the quantum Szilard heat engine sequences presented in the paper."
A Szilard engine resembles the so-called Maxwell daemon, a hypothetical machine or being that can detect and react to the movement of individual particles or molecules. However, instead of operating on classical particles, as a Maxwell daemon would, the quantum Szilard engine operates on an individual quantum bit (i.e., a qubit).
Pop, Spiecker and their colleagues realized that the Szilard engine they created induces a hyperpolarization of a qubit environment. In addition, they were surprised to observe a very slow relaxation time of this environment, consisting of two-level systems (TLSs), which outlive the qubit by orders of magnitude.
"By continuously measuring the qubit and flipping its state in order to stabilize either the state 1 (or 0), the engine essentially uses information acquired from the qubit to heat (or cool) its environment," Pop and Spiecker explained. "By running the engine for sufficiently long, we can prepare the environment of the qubit in a hyperpolarized state, far from thermal equilibrium. Moreover, by monitoring the qubit relaxation we can learn about the nature of the environment and the qubit-environment interaction."
Via their quantum Szilard engine, the researchers were able to reveal the coupling between a superconducting fluxonium qubit and a collection of TLSs, which exhibited an extended energy relaxation time above 50 ms. This system could be cooled down to reduce the qubit population below the 20 mK temperature of the cryostat and heated to create an environment with a qubit population of approximately 80%.
"The before hidden TLS environment turned out to be the main loss mechanism for the qubit, while, almost paradoxically, the TLSs themselves are virtually lossless," Pop and Spiecker said.
"This is a crucial subtlety, because it implies that the qubit T1 is independent on the TLS population, and strategies to improve T1 relaxation times that are based on TLS saturation are not viable. Last, but not least, our experiments uncovered an up-to-now unknown TLS environment, with orders of magnitude longer relaxation times compared to the commonly measured dielectric TLSs."
The recent work by Pop, Spiecker and their colleagues could have valuable practical implications. For instance, their findings highlight the need to include environmental memory effects in superconducting circuit decoherence models. This key insight could help to improve quantum error correction models for superconducting quantum hardware, models that can help to mitigate the adverse impact of noise in quantum processors.
"One of the open questions is the physical nature of these long-lived TLSs, which might be electronic spins, or trapped quasiparticles (broken Cooper pairs) or adsorbed molecules at the surface, or something entirely different," Pop and Spiecker added. "We are currently performing experiments to measure the spectral density of these TLSs and gain some knowledge on their nature. Of course, the ultimate goal is to remove all TLSs from our environment and improve qubit coherence. In our case this would quadruple the qubit T1."
More information: Martin Spiecker et al, Two-level system hyperpolarization using a quantum Szilard engine, Nature Physics (2023). DOI: 10.1038/s41567-023-02082-8
Journal information: Nature Physics
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A quantum Szilard engine that can achieve two-level system hyperpolarization - Phys.org
Quantum Computing: Accelerating the Path to a Sustainable … – Scientific Computing World
The quest for sustainable supercomputing is a pressing concern in today's digital age. As highlighted in the article "Sustainable supercomputing for a greener future," the Pawsey Supercomputing Research Centre in Perth, Australia, is leading the charge with its supercomputer, Setonix. The Pawsey Centre runs a 120kW Solar Array, which powers the pumps for its groundwater cooling process, saving approximately 70 million liters of water over the past decade. This supercomputer is not only powerful but also energy-efficient, ranking as the fourth most efficient supercomputer in the world according to June 23 ranking in the Green500 list.
However, despite its impressive efficiency, Setonix consumes a substantial 477 kW of energy, enough to power 400 average-sized US homes. This significant energy consumption underscores the need for more sustainable solutions in the supercomputing sector.
Enter quantum computing, a revolutionary technology and relatively new one that promises to accelerate the path to a greener supercomputing future. Unlike classical computers that use bits (0s and 1s) to process information, quantum computers use quantum bits, or qubits, which can exist in multiple states at once thanks to the principles of quantum mechanics. This allows quantum computers to process a vast number of possibilities simultaneously, offering a level of computational power that is unattainable with classical computers.
For example, and in contrast to Setonix, QuEra's 256-qubit Aquila quantum computer, a neutral atom quantum computer, consumes a mere 7 kW, roughly equivalent to the power of five personal hair dryers. This stark difference in energy consumption highlights the potential of quantum computers to perform some of the calculations currently performed by supercomputers, thereby saving substantial energy.
Quantum computers are particularly well-suited for applications in machine learning, optimisation, and simulation. These are areas where quantum computers can outperform classical computers, offering faster and more efficient solutions. The reason for this efficiency lies in the fundamental nature of quantum computing. Unlike classical supercomputers, which grow linearly in power when adding more CPU/GPU units, the power of quantum computers grows exponentially with the addition of more qubits. This exponential growth allows quantum computers to perform complex calculations more efficiently, leading to significant energy savings.
The low power consumption of QuEra's Aquila is not unique in quantum computing. Other quantum computers also have comparably low energy consumption, typically no more than 25 kW. This low energy consumption, combined with their computational power, makes quantum computers a promising solution for the future of sustainable supercomputing. We expect future generations of quantum computers some more powerful for certain tasks than todays fastest supercomputer will not require substantially more energy than todays quantum machines.
The promise of quantum computing is not just about improving the efficiency and power of our supercomputers. It's about reimagining what is possible with computing technology. It's about pushing the boundaries of our knowledge and understanding. It is envisioned that quantum computers can help reduce the energy consumption in additional ways, such as helping to develop more efficient solar cells, better EV batteries, or optimise traffic patterns and thus save substantial gasoline.
However, it's important to note that quantum computers are not a panacea. They won't replace classical supercomputers entirely but will work alongside them, handling tasks where they have a clear advantage. This symbiotic relationship between quantum and classical computers will help optimise energy use in the supercomputing sector.
In conclusion, the path to a sustainable supercomputing future lies in leveraging the strengths of both classical and quantum computers. Quantum computers, with their low energy consumption and exponential computational growth, offer a promising solution to the energy challenges faced by the supercomputing sector. By harnessing the power of quantum computing, we can accelerate our journey toward a greener, more sustainable supercomputing future.
Yuval Boger is the Chief Marketing Officer at QuEra Computing. QuEra Computing is commercialising advanced quantum computers based on neutral atoms. The company developed and is operating the worlds largest publicly-accessible quantum computer, available now for general use over the Amazon Braket cloud.
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Quantum Computing: Accelerating the Path to a Sustainable ... - Scientific Computing World
Quantum Delta NL Receives 60 Million ($65M USD) To Participate in a Trilateral Quantum Program with France and Germany – Quantum Computing Report
In December of last year, France, German, and the Netherlands announced an agreement to support a program to join forces and develop European leadership in the field of quantum technology. Now, the Dutch governments National Growth Fund has allocated 60.2 million to support Quantum Delta NLs participation in the program. The program is intended to strengthen the R&D cooperation between the different countries and accelerate the development of the European quantum technologies industry. The funds will be used to create shared centers of excellence where researchers from different organizations and countries can work together on joint projects. A second use will be to fund a small number of strategic, international based quantum projects for quantum tech R&D. Additional details about this funding and this program are available in a news release posted on the Quantum Delta NL website here.
July 7, 2023
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Quantum Delta NL Receives 60 Million ($65M USD) To Participate in a Trilateral Quantum Program with France and Germany - Quantum Computing Report
Quantum computing, AI will dominate tech: HCL founder – Times of India
Pune: Quantum computing is coming in a big way once it is integrated with artificial intelligence (AI) and one of the main applications of that will be in cybersecurity, Ajai Chowdhry, founder of HCL Technologies and author of Just Aspire, said.Corporate has become more aware of the need for cybersecurity and their main focus has shifted from damage control to prevent of a breach in their systems. Typically, quantum computers are very powerful and they can crack any code or cybersecurity system, which is why companies need to take a look at quantum cybersecurity. People will have to start experimenting in this area ahead of time. Because you have to prevent problems as we cannot afford to be in a situation where the systems are down, he added. On startups, Chowdhry said new-age firms should look at the electronics hardware space, which is dominated by Chinese companies are dominating. India should not repeat the mistakes of the past where some mobile manufacturers were bringing technology from China and not designing on their own as the Chinese priced them out as soon as an appetite for such products was created. In a way, the manufacturing policy should be changed to design and Make in India as the intellectual property will remain in the country, he said. When asked about his views on regulation of artificial intelligence (AI), he said that norms will not kill innovation but regulating the new technology is necessary to stop the bad actors from using it.
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Quantum computing, AI will dominate tech: HCL founder - Times of India
The future of medical research lies in quantum computing – Nation
Ever thought of a computing technology that could make medical research and development, and other similar advancements much faster than they currently are? Or the prospects of using powerful computational capabilities to advance the development of novel diagnostics tools and drug formulation in record time?
Well, the answer lies within quantum computing, a burgeoning yet revolutionary innovation that promises to disrupt contemporary computing as we know it.
For starters, quantum computing functions on the principles of quantum mechanicsto process and analyse information. It uses quantum bits or qubits to do this. The power of qubits translates into exceptional computational power and the ability to solve complex problems that were once deemed intractable by classical computing.
This explains why it is an attractive technology to deploy in healthcare and medical research both of which hold monumental significance not just in the African context but globally.
The technology is bound to accelerate drug discovery, enhance accuracy of diagnostics, and transform the way patient care is done. For instance, quantum algorithms and simulations enable researchers to analyse vast chemical processes and hence predict molecular behaviour much more faster and accurately.
This speed and accuracy leads to more efficient drug discovery processes, thus reducing the time and cost involved in bringing new treatments to the market. Accelerating the identification of potential drug candidates and optimising drug delivery systems, therefore, demonstrates just why quantum computing holds more power to revolutionise healthcare when compared to artificial intelligence.
In the same breadth, it also shows remarkable promise in enhancing medical diagnostics and imaging techniques. In this case, quantum algorithms enable faster and more accurate analysis of complex datasets. This aids in the early detection and diagnosis of diseases.
Moreover, quantum sensors and imaging technologies offer enhanced sensitivity which provides finer details and deeper insights into biological systems. This, accordingly, is a breakthrough technology that holds the potential to improve the accuracy of medical diagnoses and facilitate personalized treatment plans.
Quantum algorithms can optimise treatment plans; taking into account individual patient characteristics, genetic information, and real-time data.
In this case, when multiple variables are simultaneously considered, quantum computing can generate personalised treatment options that maximise efficacy, minimise adverse effects and improve medical decision-making.
In addition, the technology can be securely and accurately used to transmit patients medical data. This improves the resilience of healthcare systems and reduces the risk of data breaches and losses.
While quantum computing is more of a global phenomenon than it is localised, Africa is actively embracing its potential in medicine, healthcare and medical research. Governments, research institutions and private enterprises across the continent are fast recognising the importance of quantum technologies in driving medical innovation.
With different illnesses like HIV/Aids and drug-resistant malaria being endemic in Africa, and the numerous other conditions and ailments emerging by the day, quantum computing could therefore prove to be key in addressing and solving these numerous health disorders and challenges bedevilling the continent.
Initiatives such as collaborations with international quantum computing organisations, like IBM, investment in research and development, and the establishment of quantum research hubs in Africa are some of the strategies that can be deployed to fast-track the adoption and use of this technology.
But just like any other emerging novel technology that requires robust resources to upscale, quantum computing could face numerous challenges.
Building robust and scalable quantum computers, improving qubit stability and error correction, and developing quantum algorithms tailored for medical applications are some of these challenges. Furthermore, ensuring the ethical use and data privacy in quantum-enabled healthcare systems are vital considerations.
But heres the good news: solutions to these challenges are under development. With continued research, collaboration and investment, this technology presents an opportunity to revolutionise healthcare and medical research, not just continentally but across the globe.
Mr Ngila is the Africa Editor at NODO News (Tokyo) and Futurism Journalist at Quartz (New York). Twitter: @Fauza4IR
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The future of medical research lies in quantum computing - Nation
IonQ Partners With South Korea to Boost Quantum Computing – Zacks Investment Research
IonQ (IONQ Quick QuoteIONQ - Free Report) entered into a Memorandum of Understanding (MOU) with South Korea's Ministry of Science and ICT (Information and Communications Technology) to foster growth of the quantum computing industry in the country.
The primary objective of the MOU is to leverage IonQ's expertise and resources to establish an education, training and leadership expansion program specifically tailored to support individuals pursuing masters and doctorate degrees, postdoctoral researchers and professionals working in the quantum industry within South Korea.
The company aims to assist South Korea in realizing its vision of becoming a global quantum-centric economy by 2030 by offering practical support through its education, training, and leadership expansion program, which will utilize IonQ's specialized quantum computing resources.
Overall, the collaboration between IonQ and South Korea's Ministry of Science and ICT marks a significant step forward in the development of the quantum computing industry within the country. Per a report from Markets and Markets, the global quantum computing market is estimated to be valued at $866 million in 2023 and is expected to reach $4,375 million by 2028, registering a CAGR of 38.3%. The industry is likely to benefit from the rising adoption of quantum computing amid ongoing digitalization, added the report.
IonQ is a leading provider of quantum computing and general-purpose quantum computing systems. IonQ is the first business to offer its quantum systems directly through API access and the cloud on Amazon Web Services, Microsoft Azure and Google Cloud.
In April, the company announced that it had signed a new agreement with Abu Dhabis Quantum Research Center Technology Innovation Institute (QRC-TII) to test and develop quantum-enhanced algorithms. QRC-TII will leverage IonQ Aria to solve problems like heuristic variational quantum circuits for optimization problems and prototype implementations of quantum algorithms for matrix arithmetics.
IonQ currently has a Zacks Rank #3 (Hold). Shares of the company have gained 208.2% in the past year against the sub-industrys decline of 2%.
Image Source: Zacks Investment Research
Some better-ranked stocks in the broader technology space are Perion Network (PERI Quick QuotePERI - Free Report) , InterDigital (IDCC Quick QuoteIDCC - Free Report) and Blackbaud (BLKB Quick QuoteBLKB - Free Report) . Each of these companies presently sports a Zacks Rank #1 (Strong Buy). You can see the complete list of todays Zacks #1 Rank stocks here.
The Zacks Consensus Estimate for Perion Networks 2023 earnings per share (EPS) has increased 5.6% in the past 60 days to $2.84. The companys long-term earnings growth rate is 25%.
Perion Networks earnings beat estimates in each of the trailing four quarters, delivering an average surprise of 19.3%. Shares of PERI have risen 76.3% in the past year.
The Zacks Consensus Estimate for InterDigitals 2023 EPS has increased 249% in the past 60 days to $8.08. The companys long-term earnings growth rate is 13.9%.
InterDigitals earnings beat estimates in each of the trailing four quarters, delivering an average surprise of 170.9%. Shares of IDCC have rallied 49.3% in the past year.
The Zacks Consensus Estimate for Blackbauds 2023 EPS has improved 9.3% in the past 60 days to $3.75.
Blackbauds earnings beat estimates in each of the trailing four quarters, delivering an average surprise of 10.4%. Shares of the company have risen 17.8% in the past year.
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IonQ Partners With South Korea to Boost Quantum Computing - Zacks Investment Research