Archive for the ‘Quantum Computer’ Category

3 Quantum Computing Stocks to Buy for the Next Bull Run: March 2024 – InvestorPlace

There are some quantum computing stocks to buy for March that I think could lift off to new heights.

Quantum computing is an emerging and potentially revolutionary technology that could have a profound impact on various industries and fields. The market potential for quantum computing is immense. It is widely regarded as one of the most promising technological advancements of the 21st century.

The great thing about these companies is that many of them are speculative investments and therefore trade at attractive valuations. I think that these companies are primed for the next bull run. As the Nasdaq moves higher, so too will these options.

So, here are three quantum computing stocks for investors to consider for March this year.

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IonQ (NYSE:IONQ) distinguishes itself as a pure-play quantum computing company. They have a strong focus on developing trapped ion quantum computers.

For this year, it projects its revenue for the full year 2024 to range between $37 million and $41 million. Its bookings are expected to be between $70 million and $90 million. For the first quarter of 2024, revenue is forecasted to be between $6.5 million and $7.5 million. Despite these projections, IONQ anticipates an adjusted EBITDA loss of $110.5 million for 2024.

The companys performance in 2023 set a strong foundation for these forecasts. They had significant achievements including hitting $65.1 million in bookings for the year, exceeding the upper end of its guidance. This represents a 166% growth compared to the previous year. The revenue for 2023 was reported at $22.042 million, a substantial increase from $11.131 million in 2022

I see the projected loss as potentially being a good thing for IONQ investors. This could keep its valuation down to acceptable levels. Due to its small market cap of 1.9 billion, it could rise significantly along with the broader market amid a bull run.

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Rigetti Computing (NASDAQ:RGTI) is known for developing quantum integrated circuits. They also offer a cloud platform that supports quantum algorithm development.

In my opinion, RGTI is one of the more underestimated companies in this list. This is because it has an angle of offering more of the picks and shovels to the quantum industry rather than being a pure-play option than IONQ. Investing in RGTI could then give one more indirect than direct exposure to the industry. This could be a strong diversifier.

In terms of outlook and developments, RGTI made significant progress in 2023, including the deployment of the 84-qubit Ankaa-2 quantum computer, which achieved a 98% median 2-qubit fidelity and a 2.5x improvement in error performance compared to its previous quantum processing units (QPUs).

Underscoring why I believe that it could be a strong contender, analysts have given RGTI a Moderate Buy rating, with a consensus price target of $2.75, indicating a potential upside of 71.34% to be reached within the next twelve months.

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IBM (NYSE:IBM) extends its influence in quantum computing beyond hardware.

I chose IBM for investors who want a well-diversified blue-chip investment rather than the more speculative companies on this list. Although its potential for capital growth may be lower, I feel that with its dividend yield of 3.52% at the time of writing, this makes it a solid and safer choice.

IBM is also expanding its global footprint in quantum computing with the establishment of its first European quantum data center in Germany, set to open in 2024. This facility will enable users in Europe to access IBMs quantum computing systems and services.

Hardware-wise, IBM has introduced advanced processors like the 133-qubit Heron and the 433-qubit Osprey. Meanwhile, On the software front, IBM is evolving its Qiskit platform with updates that promise to increase the ease of quantum software programming.

IBM then has many forks in the fire to take advantage of the rise of quantum computing, which along with its stability and dividend yield, makes it one of those stocks that could rise in a bull run. If you are looking for quantum computing stocks to buy, you cant go wrong with these.

On the date of publication, Matthew Farley did not have (either directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed are those of the writer, subject to the InvestorPlace.com Publishing Guidelines.

Matthew started writing coverage of the financial markets during the crypto boom of 2017 and was also a team member of several fintech startups. He then started writing about Australian and U.S. equities for various publications. His work has appeared in MarketBeat, FXStreet, Cryptoslate, Seeking Alpha, and the New Scientist magazine, among others.

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3 Quantum Computing Stocks to Buy for the Next Bull Run: March 2024 - InvestorPlace

QunaSys to Host Workshop on Exploring Quantum Computing Applications in the CAE Field – PR Newswire

Quantum computing has gained significant attention for its potential to revolutionize computational processes across various industries. In the CAE field, quantum speed-up using quantum computers holds promise as a crucial application area. However, the practical impact and challenges of implementing quantum computing in the industry are still under research.

This event will feature discussions on computational challenges in the CAE field and explore potential applications and impact of quantum computing and comparison to classical computing under two paradigms: the NISQ (Noisy Intermediate-Scale Quantum) era and the FTQC (Fault-Tolerant Quantum Computing) era.

Our intention for this workshop is to foster vibrant discussions by inviting industry experts from global leading companies such as JX Nippon Oil & Gas Exploration, Murata Manufacturing Co., Bridgestone Corporation and others.

"We are excited about the potential impact that quantum computing can bring to augment our efforts in oil and natural gas development, as well as our CCS/CCUS projects. Specifically, we have high expectations for the benefits derived from applying quantum computing to calculations related to fields such as fluid dynamics and electromagnetics," said a participant from JX Nippon Oil & Gas Exploration.

"There is a series of processes related to the manufacture of electronic components, such as material development, product design, and solution engineering. We extensively utilize computational science and technology including simulation of these processes. We would like to explore together how we can incorporate quantum computing in our business and leverage its potential," said a participant from Murata Manufacturing Co., Ltd.

"In the field of CAE, including fluid simulation, structural analysis, and similar processes, the use of quantum computing is anticipated to enable the solution of exponentially complex problems within realistic timeframes. However, despite these expectations in theory, numerous challenges must still be addressed to realize industrially valuable applications. In this workshop, we aim for participants to gain a thorough understanding of the challenges associated with applying quantum computing to CAE. Additionally, we seek insights from participants regarding the potential utilization of quantum computing based on its characteristics in their respective businesses. By doing so, we hope to accelerate research and development geared towards industrial applications. We are excited about the prospect of advancing this meaningful initiative, forging collaborations with experts and stakeholders. If you have an interest in applying quantum computing to the field of CAE, please feel free to reach out to us," said Keita Kanno, CTO of QunaSys.

The workshop is open to professionals, researchers, and executives in the CAE field interested in harnessing the potential of quantum computing.

SOURCE QunaSys Inc.

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QunaSys to Host Workshop on Exploring Quantum Computing Applications in the CAE Field - PR Newswire

NSA fears quantum computing surprise: ‘If this black swan event happens, then we’re really screwed’ – Washington Times

A version of this story appeared in the daily Threat Status newsletter from The Washington Times. Click here to receive Threat Status delivered directly to your inbox each weekday.

The National Security Agency fears a quantum computing breakthrough by Americas adversaries would jeopardize the security of the global economy and allow foes to peer inside top-secret communications systems.

The agencys concern is that an unforeseen advance in quantum technology would crack encryption systems used to protect everything from financial transactions to sensitive communications involving nuclear weapons, according to NSA Director of Research Gil Herrera.

Speaking at an Intelligence and National Security Alliance event last week, Mr. Herrera said no country has a quantum computer that he would consider useful yet.

He said there are a lot of teams around the world building with different technologies and someone could achieve a development representing a black swan event, an extremely unexpected occurrence with profound and dangerous consequences for U.S. national security.

If this black swan event happens, then were really screwed, Mr. Herrera said.

Americans could suffer consequences from such a quantum leap in several ways. Mr. Herrera said the world economy, and the U.S. market in particular, are vulnerable because most financial transactions are secured by encryption systems that cant be cracked by non-quantum means.

If quantum tech weakens or eliminates such encryption walls, then financial institutions may have to resort to older transaction methods and banks would look for other means to protect their dealings with other banks, according to Mr. Herrera.

And, he warned, other industries may be even less resilient in the face of the threat. Mr. Herrera said the threat of a quantum computer is not limited to its immediate potential damage, but to the fallout from obtaining encrypted information that was previously recorded.

Drawing on his decades of experience at Sandia National Laboratories, Mr. Herrera said a quantum advance may be able to help people find information on weapons systems that have been in the U.S. arsenal for a significant period of time.

There are ways that we can communicate with our various partners in nuclear weapon production where public key encryption is utilized to share keys, Mr. Herrera said. And now, what if somebodys recorded that information and they crack it?

Details on foreign adversaries advanced computing capabilities are closely guarded, Federal policymakers are worried in particular about Chinas efforts to achieve computing breakthroughs.

Reflecting on supercomputers at a House Armed Services Committee hearing last year, Rep. Morgan Luttrell said he worried Beijing may have already surpassed the U.S. in its supercomputing prowess.

China should have on board or online another computer that would have trumped us and pushed us back some, the Texas Republican said at the March 2023 hearing. So the amount of money theyre spending in that space as compared to us would make me think that theyre ahead of us.

Retired Gen. Paul Nakasone, then in charge of U.S. Cyber Command, cautioned Mr. Luttrell against assuming that outspending America would guarantee an adversarys technological success.

Spending money doesnt necessarily mean that youre the best in what you do and being able to integrate that kind of capability is what really matters, Gen. Nakasone said at the hearing. So being able to take the intelligence, integrate it within maneuver force to have an outcome is where I clearly see United States has the lead.

But experts agree that quantum computing breakthroughs would dramatically outdo existing supercomputers. The NSA is not waiting to find out.

Mr. Herrera said the NSA believes the algorithms it is deploying will withstand a quantum attack.

One thing NSA has done about it is we actually started research in quantum-resistant algorithms not too long after we started funding academic programs to come up with what a quantum computer would look like, Mr. Herrera said. So we have a lot of maturity within the NSA, we have been deploying quantum-resistant encryption in certain key national security applications for a while now.

Efforts to better understand the quantum capabilities of Americas adversaries are underway as well. The congressionally chartered U.S.-China Economic and Security Review Commission is scrutinizing the communist countrys push to transform its military through the application of quantum and emerging technologies to its weapons systems and logistics.

Last month, the commission conducted a hearing that included an examination of Chinas quest for teleportation technology.

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NSA fears quantum computing surprise: 'If this black swan event happens, then we're really screwed' - Washington Times

UNI’s Begeman Lecture to explore how quantum computing is revolutionizing our world – Cedar Valley Daily Times

Quantum computing, and how its revolutionizing our world, is the focus of this years Begeman Lecture in Physics at the University of Northern Iowa.

The lecture, titled Building a Quantum Computer, One Atom at a Time, will be presented by UNI Department of Physics alum Justin Bohnet on Wednesday, April 3 at 7 p.m. in the Lang Hall Auditorium. The event is free and open to the public.

Justin is in the vanguard of efforts to develop quantum computers for widespread use, said Paul Shand, head of the UNI Department of Physics. Were excited for him to share more about quantum computers and how they will turbocharge computing in the future.

Bohnet is the research & development manager at Quantinuum a quantum computing company whose mission is to accelerate quantum computing and use its power to achieve unprecedented breakthroughs in drug discovery, health care, materials science, cybersecurity, energy transformation and climate change.

In this lecture, Bohnet will share his personal journey from a student at UNI to building the worlds most powerful quantum computers, powered by control over single atoms. Along the way, youll get a crash course on quantum computers what they are, how they work and why were standing on the brink of a technological revolution that will let us explore uncharted territories of science and technology.

If you need a reasonable accommodation in order to participate in this event, please contact the UNI Department of Physics by calling 319-273-2420 or by emailing physics@uni.edu prior to the event.

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UNI's Begeman Lecture to explore how quantum computing is revolutionizing our world - Cedar Valley Daily Times

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization – HPCwire

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum devices can be problematic. Researchers from Waseda University report developing a new algorithm post-processing variationally scheduled quantum algorithm (pVSQA) that speeds performance.

Therea brief account of the work posted today on the Waseda University website. Constrained combinatorial problems (COP) are common in logistics, supply chain management, machine learning, material design, and drug discovery. The researchers report the novelty of their algorithm is its use of a post-processing technique combined with variational scheduling to achieve high-quality solutions to COPs in a short time.

The two main methods for solving COPs with quantum devices are variational scheduling and post-processing. Our algorithm combines variational scheduling with a post-processing method that transforms infeasible solutions into feasible ones, allowing us to achieve near-optimal solutions for constrained COPs on both quantum annealers and gate-based quantum computers, said Tatsuhiko Shirai, a leader in the work, which was published in EEE Transactions on Quantum Engineering this month.

Heres a brief excerpt from the article:

The innovative pVSQA algorithm uses a quantum device to first generate a variational quantum state via quantum computation. This is then used to generate a probability distribution function which consists of all the feasible and infeasible solutions that are within the constraints of the COP. Next, the post-processing method transforms the infeasible solutions into feasible ones, leaving the probability distribution with only feasible solutions. A classical computer is then used to calculate an energy expectation value of the cost function using this new probability distribution. Repeating this calculation results in a near-optimal solution.

The researchers analyzed the performance of this algorithm using both a simulator and real quantum devices such as a quantum annealer and a gate-type quantum device. The experiments revealed that pVSQA achieves a near-optimal performance within a predetermined time on the simulator and outperforms conventional quantum algorithms without post-processing on real quantum devices.

Given the limits of current quantum devices (adiabatic annealers and gate-based systems), the researchers suggest the new algorithm is a significant step forwards particularly given the wider applicability of constrained combinatorial optimization.

They note in the papers abstract:

COPs are typically transformed into ground-state search problems of the Ising model on a quantum annealer or gate-based quantum device. Variational methods are used to find an optimal schedule function that leads to high-quality solutions in a short amount of time. Post-processing techniques convert the output solutions of the quantum devices to satisfy the constraints of the COPs.

pVSQA combines the variational methods and the post-processing technique. We obtain a sufficient condition for constrained COPs to apply pVSQA based on a greedy post-processing algorithm. We apply the proposed method to two constrained NP-hard COPs: the graph partitioning problem and the quadratic knapsack problem. pVSQA on a simulator shows that a small number of variational parameters is sufficient to achieve a (near-)optimal performance within a predetermined operation time. Then building upon the simulator results, we implement pVSQA on a quantum annealer and a gate-based quantum device. The experimental results demonstrate the effectiveness of our proposed method.

Link to Waseda University article, https://www.waseda.jp/top/en/news/80146

Link to IEEE paper, https://ieeexplore.ieee.org/document/10472069

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Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization - HPCwire