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BERKELEY, Calif., April 23, 2024 (GLOBE NEWSWIRE) -- Rigetti Computing, Inc. (Nasdaq: RGTI) (Rigetti or the Company), a pioneer in full-stack quantum-classical computing, announces the sale of a Novera quantum processing unit (QPU) to Horizon Quantum Computing. This marks the Companys third sale of a Novera QPU, and is the Companys first QPU located in Singapore. The Novera QPU will be installed in Horizon Quantum Computings new hardware testbed in Singapore, and will be Horizons first quantum computing system. The system is expected to be installed by early 2025.

The system will integrate Horizons software stack, Triple Alpha, and Quantum Machines OPX1000 processor-based quantum controller.

The 9-qubit Novera QPU is based on the Companys fourth generation Ankaa-class architecture featuring tunable couplers and a square lattice for denser connectivity and fast 2-qubit operations. The Novera QPU is manufactured in Rigettis Fab-1, the industrys first dedicated and integrated quantum device manufacturing facility.

We are witnessing the emergence of a vibrant on-premise quantum computing market. Quantum computing researchers need hands-on access to quantum technology to gain a deeper understanding of how to work towards useful quantum computing. We launched the Novera QPU to address this need and we are thrilled that our longtime partners at Horizon selected our hardware to advance their quantum computing journey, said Dr. Subodh Kulkarni, Rigetti CEO.

Tight integration between hardware and software will be necessary for quantum computing to reach its full potential. Thats why we have established a testbed for integrating our software development tools with quantum computing systems," said Dr. Joe Fitzsimons, CEO at Horizon Quantum Computing. "We are delighted to work with our longtime partner Rigetti on the first testbed system, which will be powered by the Novera QPU. While we may be one of the first quantum software companies to embrace on-premises quantum computing, I doubt that we will be the last.

The Companys first two Novera QPU sales were to leading US government labs the Superconducting Quantum Materials and Systems Center (SQMS) led by Fermilab, and the Air Force Research Lab (AFRL).

About Rigetti Rigetti is a pioneer in full-stack quantum computing. The Company has operated quantum computers over the cloud since 2017 and serves global enterprise, government, and research clients through its Rigetti Quantum Cloud Services platform. The Companys proprietary quantum-classical infrastructure provides high performance integration with public and private clouds for practical quantum computing. Rigetti has developed the industrys first multi-chip quantum processor for scalable quantum computing systems. The Company designs and manufactures its chips in-house at Fab-1, the industrys first dedicated and integrated quantum device manufacturing facility. Learn more at http://www.rigetti.com.

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Cautionary Language Concerning Forward-Looking Statements Certain statements in this communication may be considered forward-looking statements within the meaning of the federal securities laws. These forward-looking statements are based upon estimates and assumptions that, while considered reasonable by the Company and its management, are inherently uncertain. Factors that may cause actual results to differ materially from current expectations include, but are not limited to: the Companys ability to achieve milestones, technological advancements, including with respect to its technology roadmap, help unlock quantum computing, and develop practical applications; the ability of the Company to obtain government contracts successfully and in a timely manner and the availability of government funding; the potential of quantum computing; the ability of the Company to expand its QPU sales; the success of the Companys partnerships and collaborations; the Companys ability to accelerate its development of multiple generations of quantum processors; the outcome of any legal proceedings that may be instituted against the Company or others; the ability to maintain relationships with customers and suppliers and attract and retain management and key employees; costs related to operating as a public company; changes in applicable laws or regulations; the possibility that the Company may be adversely affected by other economic, business, or competitive factors; the Companys estimates of expenses and profitability; the evolution of the markets in which the Company competes; the ability of the Company to implement its strategic initiatives, expansion plans and continue to innovate its existing services; the expected use of proceeds from the Companys past and future financings or other capital; the sufficiency of the Companys cash resources; unfavorable conditions in the Companys industry, the global economy or global supply chain, including financial and credit market fluctuations and uncertainty, rising inflation and interest rates, disruptions in banking systems, increased costs, international trade relations, political turmoil, natural catastrophes, warfare (such as the ongoing military conflict between Russia and Ukraine and related sanctions and the state of war between Israel and Hamas and related threat of a larger conflict), and terrorist attacks; and other risks and uncertainties set forth in the section entitled Risk Factors and Cautionary Note Regarding Forward-Looking Statements in the Companys Annual Report on Form 10-K for the year ended December 31, 2023 and other documents filed by the Company from time to time with the SEC. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and the Company assumes no obligation and does not intend to update or revise these forward-looking statements other than as required by applicable law. The Company does not give any assurance that it will achieve its expectations.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/fe334fa3-a491-4e8c-ab3e-375b1af2c621

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Rigetti Computing Delivers Novera QPU to Horizon Quantum Computing for Singapore-Based Hardware Testbed - GlobeNewswire

NVIDIA has announced that Japan's new quantum supercomputer will be powered by NVIDIA platforms for accelerated and quantum computing.

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Japan's National Institute of Advanced Industrial Science and Technology (AIST) is building a hybrid cloud system of quantum computers and supercomputers called ABCI-Q. Quantum computers are still capable of making a lot of errors if they're operating solo, with supercomputers needing to solve the mistakes and make those complex operations smoother.

NVIDIA is providing the AI GPUs for the new ABCI-Q quantum supercomputer and quantum computing software through its cloud service. NVIDIA will provide over 2000 of its H100 AI GPUs in 500+ nodes interconnected by NVIDIA Quantum-2 InfiniBand, the world's only fully offloadable, in-networking computing platform.

ABCI-Q will enable high-fidelity quantum simulations for research across multiple industries. The high-performance, scalable system is integrated with NVIDIA CUDA-Q, an open-source hybrid quantum computing platform with powerful simulation tools and capabilities to program hybrid quantum-classical systems.

Tim Costa, director of high-performance computing and quantum computing at NVIDIA, said: "Researchers need high-performance simulation to tackle the most difficult problems in quantum computing. CUDA-Q and the NVIDIA H100 equip pioneers such as those at ABCI to make critical advances and speed the development of quantum-integrated supercomputing".

Masahiro Horibe, deputy director of G-QuAT/AIST, said: "ABCI-Q will let Japanese researchers explore quantum computing technology to test and accelerate the development of its practical applications. The NVIDIA CUDA-Q platform and NVIDIA H100 will help these scientists pursue the next frontiers of quantum computing research".

ABCI-Q is part of Japan's quantum technology innovation strategy, where the country will create new opportunities for business and society to benefit from quantum technology. This includes AI, energy, biology research, and more.

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NVIDIA is helping Japan build their bleeding-edge ABCI-Q quantum supercomputer with HPC and AI - TweakTown

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AI stocks have overshadowed other emerging technologies, including quantum computing stocks. However, it is only a matter of time before quantum computing stocks blow up, with BCC Research, forecasting the market to grow at a CAGR of 48.1% from $713.4 million in 2022 to $6.5 billion by 2028.

Furthermore, quantum computing enables businesses to solve the most complex problems that cant typically be handled by traditional computers. However, most of the pure plays in the sector are speculative and are still years away from turning a profit, but the potential for disruption remains massive. Moreover, the synergy between AI and quantum computing promises profound benefits, enhancing AIs capabilities with unparalleled computational speed and efficiency.

With that said, here are three quantum computing stocks that offer excellent stability and upside potential.

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International Business Machines(NYSE:IBM) is one of the pioneers in the quantum computing sphere, playing a key role in the commercialization of the technology. IBMs goal is to effectively scale up quantum computing technology to solve complex problems, reduce error rates, and develop practical applications for industries. In doing so, the company has been developing sophisticated quantum computers that can operate in the most demanding conditions. Moreover, these are available in its cloud-based IBM Quantum Experience platform, which limits the need for physical hardware.

To further cement its role in the sector, IBM has developed the robust IBM Quantum System Two and the IBM Quantum Heron processor, which is known for its effective outcomes and high performance. Moreover, its powerful IBM Quantum Network collaborates with over 250 businesses globally to foster quantum innovation. Hence, IBM stock remains a key stakeholder in the quantum computing realm, and its efforts are likely to pay many dividends down the road.

Honeywell(NASDAQ:HON) is one of the largest American multinational conglomerates, with its tentacles spread across multiple areas, including aerospace, building technologies, and performance materials.

Its also actively investing in quantum computing, which could open up new and profitable business avenues in the not-so-distant future. Like IBM, Honeywell boasts a robust core business with diversified revenue sources that underscore the stability of its operations. On top of that, investing in HON stock comes with a solid dividend, which the company has been paying consistently over the past 21 years.

Therefore, it has the internal resources to continue funding its quantum computing ventures, such as Quantinuum, which recently achieved a whopping $5 billion valuation . Moreover, one of my fellow InvestorPlace colleagues, Michael Que, discussed Honeywells acquisition of Civitanavi Systems in a recent article. The Italian aerospace firms acquisition enhances Honeywells aerospace operations and presents opportunities to integrate these with its quantum computing capabilities.

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IonQ Inc.(NASDAQ:IONQ) is one of the few pure-plays in the quantum computing space, that claims to have developed the worlds most powerful quantum computer, with a quantum capacity of 32 qubits.

As we advance, the goal is to develop modular quantum computers that are scalable and customizable to meet diverse needs. This approach allows for greater flexibility and potentially more powerful quantum computing solutions, streamlining the process of upgrades and expansion.

Furthermore, the company has been growing at a rapid pace of late, with year-over-year (YOY) revenue growth at an impressive 98%. Additionally, it recentlyset its sales expectationsbetween $37 million and $41 million for the current year, slightly behind analyst expectations. Encouragingly, analysts expect the company to generate sales upwardsof $82.4 millionfor fiscal 2025, a considerable jump from this year. Also, Tipranks analysts expect almost a 99% upside from current price levels in IONQ, making it an excellent stock to pick at this time.

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

Muslim Farooque is a keen investor and an optimist at heart. A life-long gamer and tech enthusiast, he has a particular affinity for analyzing technology stocks. Muslim holds a bachelors of science degree in applied accounting from Oxford Brookes University.

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3 Quantum Computing Stocks to Buy Now: Q2 Edition - InvestorPlace

Researchers have demonstrated a scalable method for quantum computing by successfully showing quantum interference among photons using temporal encoding, offering a potential path toward more accessible quantum technologies. Credit: SciTechDaily.com

An international collaboration of researchers, led by Philip Walther at University of Vienna, have achieved a significant breakthrough in quantum technology, with the successful demonstration of quantum interference among several single photons using a novel resource-efficient platform. The work published in the prestigious journal Science Advances represents a notable advancement in optical quantum computing that paves the way for more scalable quantum technologies.

Interference among photons, a fundamental phenomenon in quantum optics, serves as a cornerstone of optical quantum computing. It involves harnessing the properties of light, such as its wave-particle duality, to induce interference patterns, enabling the encoding and processing of quantum information.

In traditional multi-photon experiments, spatial encoding is commonly employed, wherein photons are manipulated in different spatial paths to induce interference. These experiments require intricate setups with numerous components, making them resource-intensive and challenging to scale.

In contrast, the international team, comprising scientists from University of Vienna, Politecnico di Milano, and Universit libre de Bruxells, opted for an approach based on temporal encoding. This technique manipulates the time domain of photons rather than their spatial statistics.

Figure 1. Resource-efficient multi-photon processor based on an optical fiber loop. Credit: Marco Di Vita

To realize this approach, they developed an innovative architecture at the Christian Doppler Laboratory at the University of Vienna, utilizing an optical fiber loop (Fig.1). This design enables repeated use of the same optical components, facilitating efficient multi-photon interference with minimal physical resources.

First author Lorenzo Carosini explains: In our experiment, we observed quantum interference among up to eight photons, surpassing the scale of most of existing experiments. Thanks to the versatility of our approach, the interference pattern can be reconfigured and the size of the experiment can be scaled, without changing the optical setup.

The results demonstrate the significant resource efficiency of the implemented architecture compared to traditional spatial-encoding approaches, paving the way for more accessible and scalable quantum technologies.

Reference: Programmable multiphoton quantum interference in a single spatial mode by Lorenzo Carosini, Virginia Oddi, Francesco Giorgino, Lena M. Hansen, Benoit Seron, Simone Piacentini, Tobias Guggemos, Iris Agresti, Juan C. Loredo and Philip Walther, 19 April 2024, Science Advances. DOI: 10.1126/sciadv.adj0993

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Compact Quantum Light Processing: Time-Bending Optical Computing Breakthrough - SciTechDaily

Entanglement is a form of correlation between quantum objects, such as particles at the atomic scale. This uniquely quantum phenomenon cannot be explained by the laws of classical physics, yet it is one of the properties that explains the macroscopic behavior of quantum systems.

Because entanglement is central to the way quantum systems work, understanding it better could give scientists a deeper sense of how information is stored and processed efficiently in such systems.

Qubits, or quantum bits, are the building blocks of a quantum computer. However, it is extremely difficult to make specific entangled states in many-qubit systems, let alone investigate them. There are also a variety of entangled states, and telling them apart can be challenging.

Now, MIT researchers have demonstrated a technique to efficiently generate entanglement among an array of superconducting qubits that exhibit a specific type of behavior.

Over the past years, the researchers at the Engineering Quantum Systems (EQuS) group have developed techniques using microwave technology to precisely control a quantum processor composed of superconducting circuits. In addition to these control techniques, the methods introduced in this work enable the processor to efficiently generate highly entangled states and shift those states from one type of entanglement to another including between types that are more likely to support quantum speed-up and those that are not.

Here, we are demonstrating that we can utilize the emerging quantum processors as a tool to further our understanding of physics. While everything we did in this experiment was on a scale which can still be simulated on a classical computer, we have a good roadmap for scaling this technology and methodology beyond the reach of classical computing, says Amir H. Karamlou 18, MEng 18, PhD 23, the lead author of the paper.

The senior author is William D. Oliver, the Henry Ellis Warren professor of electrical engineering and computer science and of physics, director of the Center for Quantum Engineering, leader of the EQuS group, and associate director of the Research Laboratory of Electronics. Karamlou and Oliver are joined by Research Scientist Jeff Grover, postdoc Ilan Rosen, and others in the departments of Electrical Engineering and Computer Science and of Physics at MIT, at MIT Lincoln Laboratory, and at Wellesley College and the University of Maryland. The research appears today in Nature.

Assessing entanglement

In a large quantum system comprising many interconnected qubits, one can think about entanglement as the amount of quantum information shared between a given subsystem of qubits and the rest of the larger system.

The entanglement within a quantum system can be categorized as area-law or volume-law, based on how this shared information scales with the geometry of subsystems. In volume-law entanglement, the amount of entanglement between a subsystem of qubits and the rest of the system grows proportionally with the total size of the subsystem.

On the other hand, area-law entanglement depends on how many shared connections exist between a subsystem of qubits and the larger system. As the subsystem expands, the amount of entanglement only grows along the boundary between the subsystem and the larger system.

In theory, the formation of volume-law entanglement is related to what makes quantum computing so powerful.

While have not yet fully abstracted the role that entanglement plays in quantum algorithms, we do know that generating volume-law entanglement is a key ingredient to realizing a quantum advantage, says Oliver.

However, volume-law entanglement is also more complex than area-law entanglement and practically prohibitive at scale to simulate using a classical computer.

As you increase the complexity of your quantum system, it becomes increasingly difficult to simulate it with conventional computers. If I am trying to fully keep track of a system with 80 qubits, for instance, then I would need to store more information than what we have stored throughout the history of humanity, Karamlou says.

The researchers created a quantum processor and control protocol that enable them to efficiently generate and probe both types of entanglement.

Their processor comprises superconducting circuits, which are used to engineer artificial atoms. The artificial atoms are utilized as qubits, which can be controlled and read out with high accuracy using microwave signals.

The device used for this experiment contained 16 qubits, arranged in a two-dimensional grid. The researchers carefully tuned the processor so all 16 qubits have the same transition frequency. Then, they applied an additional microwave drive to all of the qubits simultaneously.

If this microwave drive has the same frequency as the qubits, it generates quantum states that exhibit volume-law entanglement. However, as the microwave frequency increases or decreases, the qubits exhibit less volume-law entanglement, eventually crossing over to entangled states that increasingly follow an area-law scaling.

Careful control

Our experiment is a tour de force of the capabilities of superconducting quantum processors. In one experiment, we operated the processor both as an analog simulation device, enabling us to efficiently prepare states with different entanglement structures, and as a digital computing device, needed to measure the ensuing entanglement scaling, says Rosen.

To enable that control, the team put years of work into carefully building up the infrastructure around the quantum processor.

By demonstrating the crossover from volume-law to area-law entanglement, the researchers experimentally confirmed what theoretical studies had predicted. More importantly, this method can be used to determine whether the entanglement in a generic quantum processor is area-law or volume-law.

The MIT experiment underscores the distinction between area-law and volume-law entanglement in two-dimensional quantum simulations using superconducting qubits. This beautifully complements our work on entanglement Hamiltonian tomography with trapped ions in a parallel publication published in Nature in 2023, says Peter Zoller, a professor of theoretical physics at the University of Innsbruck, who was not involved with this work.

Quantifying entanglement in large quantum systems is a challenging task for classical computers but a good example of where quantum simulation could help, says Pedram Roushan of Google, who also was not involved in the study. Using a 2D array of superconducting qubits, Karamlou and colleagues were able to measure entanglement entropy of various subsystems of various sizes. They measure the volume-law and area-law contributions to entropy, revealing crossover behavior as the systems quantum state energy is tuned. It powerfully demonstrates the unique insights quantum simulators can offer.

In the future, scientists could utilize this technique to study the thermodynamic behavior of complex quantum systems, which is too complex to be studied using current analytical methods and practically prohibitive to simulate on even the worlds most powerful supercomputers.

The experiments we did in this work can be used to characterize or benchmark larger-scale quantum systems, and we may also learn something more about the nature of entanglement in these many-body systems, says Karamlou.

Additional co-authors of the study areSarah E. Muschinske, Cora N. Barrett, Agustin Di Paolo, Leon Ding, Patrick M. Harrington, Max Hays, Rabindra Das, David K. Kim, Bethany M. Niedzielski, Meghan Schuldt, Kyle Serniak, Mollie E. Schwartz, Jonilyn L. Yoder, Simon Gustavsson, and Yariv Yanay.

This research is funded, in part, by the U.S. Department of Energy, the U.S. Defense Advanced Research Projects Agency, the U.S. Army Research Office, the National Science Foundation, the STC Center for Integrated Quantum Materials, the Wellesley College Samuel and Hilda Levitt Fellowship, NASA, and the Oak Ridge Institute for Science and Education.

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MIT scientists tune the entanglement structure in an array of qubits - MIT News