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Company gears up for commercial release of breakthrough quantum technology in 2024

NEW HAVEN, Conn., Feb. 28, 2024 /PRNewswire/ -- Quantum Circuits, Inc., a leader in fault tolerant quantum computers, today announced the appointment of Ray Smets as President and Chief Executive Officer. Ray brings strong high-tech executive business leadership with over three decades of experience building and leading teams across a diverse set of high-growth computing, data center and networking technologies. In his new role, Ray leads Quantum Circuits' world-renowned quantum physics and engineering teams to fulfill the potential of large-scale commercial quantum computing.

Quantum Circuits appoints Ray Smets as President and CEO. Breakthrough quantum computer to debut in 2024.

"We have made groundbreaking progress proving that our core technology is uniquely capable of advancing the state-of-the-art in quantum computer science," said Rob Schoelkopf, Quantum Circuits Chief Scientist and Co-Founder. "Ray's experience and expertise will be vital as we scale the company to support commercial operations later this year."

"Robust quantum error correction is one of the most critical hurdles facing the industry," said Bill Coughran, Partner at Sequoia Capital. "Quantum Circuit's unique approach of intrinsic error handling at the qubit-level can dramatically simplify the path to commercial quantum applications. Ray Smets is the perfect executive to lead the company into the next stage of growth."

In his prior roles, Ray has led large-scale cloud operations, sales, marketing, and product execution for public and privately-backed ventures. He has brought new and innovative technology solutions to market at companies including Cisco, A10 Networks, Motorola, and AT&T. Ray was instrumental in driving growth at tech start-up initiatives that led to multiple acquisitions and an IPO. While leading innovating technology efforts in mobile networking, he has been awarded over ten international patents that improved the way people communicate.

"Quantum Circuits is driving quantum innovation from the lab to the cloud," said Ray Smets, Quantum Circuits President & CEO. "We are at the tipping point of delivering on Rob Schoelkopf's vision of superconducting quantum computing. I am honored to lead such an accomplished group."

About Quantum Circuits

Quantum Circuits is a leader in the development of quantum computers designed to scale. An innovative quantum processor architecture integrates high fidelity qubits with intrinsic error detection and handling. High fidelity error detection is a key component to reducing the number of physical qubits necessary to build a useful quantum computer, thus accelerating the timeline to quantum advantage. Quantum Circuits' team includes pioneers in the development of superconducting quantum science and quantum electrodynamic circuits. For more information, visit http://www.quantumcircuits.com.

SOURCE Quantum Circuits

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Quantum Circuits appoints Ray Smets as President and CEO - PR Newswire

Quantum computing has witnessed a surge of advancements and breakthroughs, pushing the boundaries of whats possible in computation. One notable development is the achievement of quantum supremacy , where a quantum computer outperforms classical supercomputers in a specific task. Googles announcement of achieving quantum supremacy in 2019 with their 53-qubit Sycamore processor marked a historic milestone. Other players in the field, including IBM and Rigetti Computing, have also made significant strides in demonstrating quantum supremacy, showcasing the growing maturity of quantum hardware.

The rise of quantum cloud services is another trend in recent quantum computing news. Companies like IBM, Microsoft, and Rigetti have introduced cloud-based platforms that allow users to access quantum processors and experiment with quantum algorithms without the need for sophisticated hardware on-site. This democratization of quantum computing resources is accelerating research and development in the quantum space.

The evolution of quantum hardware is complemented by a thriving quantum software ecosystem. There has been a surge in the development of quantum programming languages, algorithms, and software tools that facilitate the design and execution of quantum computations. Companies like Qiskit (IBM), Cirq (Google), and Quipper (Microsoft) are actively contributing to this ecosystem, providing developers with the tools they need to harness the power of quantum computing.

Despite the remarkable progress, challenges persist on the path to realizing the full potential of quantum computing. Quantum decoherence , maintaining qubit coherence for extended periods, and the need for low-temperature environments are ongoing challenges that researchers are actively addressing. Scaling quantum processors to handle practical, real-world problems remains a formidable task.

The latest quantum computing news suggests a future where quantum computers will play a pivotal role in solving problems that are currently beyond the reach of classical computers. The potential applications of quantum computing are vast and transformative, from simulating molecular structures for drug discovery to optimizing complex systems in finance and logistics.

The latest developments in quantum computing represent a thrilling chapter in the ongoing saga of human ingenuity. Quantum supremacy, cloud services, software ecosystems, hardware innovations, and breakthroughs in error correction collectively paint a picture of a quantum future that is not just theoretical but tangible and impactful. The journey towards practical quantum computing promises to redefine the limits of what we can achieve in computation and problem-solving.

Quantum computing is a revolutionary field that utilizes the principles of quantum mechanics to process information. Unlike classical computing, which uses bits that can represent either a 0 or a 1, quantum computing uses quantum bits, or qubits, which can exist in multiple states simultaneously. This property, known as superposition , allows quantum computers to perform calculations in parallel, exponentially increasing their computational power.

One of the key differences between classical and quantum computing is the concept of quantum superposition . While classical bits can only represent one of two states, qubits can represent a combination of both states simultaneously. This allows quantum computers to explore multiple possibilities at once, leading to the potential for faster and more efficient computation. Additionally, quantum entanglement , another fundamental principle of quantum mechanics, allows qubits to be linked in a way that the state of one qubit can instantly affect the state of another, regardless of the distance between them. This property enables quantum computers to perform highly interconnected calculations, further enhancing their capabilities.

The qubit is the building block of quantum computing. It is the basic unit of information in a quantum system and is analogous to a classical bit. However, unlike classical bits, which can only represent a 0 or a 1, qubits can exist in a superposition of states, representing a combination of 0 and 1 simultaneously. This superposition allows qubits to hold exponentially more information than classical bits, resulting in the exponential computational power of quantum computers.

The role of the qubit in quantum computing is crucial. It is the fundamental element that enables quantum computers to perform complex calculations and solve problems that are currently intractable for classical computers. By harnessing the power of multiple qubits and their ability to exist in multiple states simultaneously, quantum computers can explore a vast number of possibilities and find optimal solutions to complex problems more efficiently.

Quantum computing is a groundbreaking field that utilizes the principles of quantum mechanics to revolutionize computation. By leveraging the properties of superposition and entanglement , quantum computers can process information exponentially faster and more efficiently than classical computers. The qubit, as the basic unit of quantum information, plays a vital role in enabling quantum computers to perform complex calculations and solve problems that are currently beyond the reach of classical computers. With ongoing advancements in quantum hardware and software, quantum computing holds the potential to transform various industries and tackle some of the worlds most challenging problems.

Quantum computing has seen significant advancements in recent years, pushing the boundaries of whats possible in computation. One notable breakthrough is the achievement of quantum supremacy , where a quantum computer outperforms classical supercomputers in a specific task. In 2019, Google announced that their 53-qubit Sycamore processor had achieved quantum supremacy, marking a historic milestone in the field. Other players like IBM and Rigetti Computing have also made significant strides in demonstrating quantum supremacy, showcasing the growing maturity of quantum hardware.

Another trend in recent quantum computing news is the rise of quantum cloud services . Companies like IBM, Microsoft, and Rigetti have introduced cloud-based platforms that allow users to access quantum processors and experiment with quantum algorithms without the need for sophisticated hardware on-site. This democratization of quantum computing resources is accelerating research and development in the quantum space.

The evolution of quantum hardware is complemented by a thriving quantum software ecosystem. There has been a surge in the development of quantum programming languages, algorithms, and software tools that facilitate the design and execution of quantum computations. Companies like IBM (with Qiskit), Google (with Cirq), and Microsoft (with Quipper) are actively contributing to this ecosystem, providing developers with the tools they need to harness the power of quantum computing.

Quantum hardware advancements continue to make headlines as well. Researchers are exploring novel approaches to building more stable and scalable qubits , which are the basic units of quantum information processing. Superconducting qubits, trapped ions, and topological qubits are among the diverse technologies being investigated to create more robust quantum processors. Companies are also investing in developing quantum processors with increasing qubit counts, which will further enhance the computational power of quantum computers.

However, despite these remarkable breakthroughs, challenges still persist on the path to realizing the full potential of quantum computing. Quantum decoherence , which refers to the loss of qubit coherence over time, and the need for low-temperature environments are ongoing challenges that researchers are actively addressing. Scaling quantum processors to handle practical, real-world problems remains a formidable task as well.

The latest developments in quantum computing represent a thrilling chapter in the ongoing saga of human ingenuity. Quantum supremacy, cloud services, software ecosystems, hardware innovations, and breakthroughs in error correction collectively paint a picture of a quantum future that is not just theoretical but tangible and impactful. The journey towards practical quantum computing promises to redefine the limits of what we can achieve in computation and problem-solving.

Quantum computing has emerged as a promising technology that has the potential to revolutionize various industries, including artificial intelligence (AI). The relationship between quantum computing and AI is a topic of great interest, as researchers explore the possibilities of combining these two cutting-edge fields.

One of the key advantages of quantum computing in the context of AI is its ability to enhance computational capabilities. Quantum computers can process large datasets and solve complex optimization problems more efficiently than classical computers. This opens up new possibilities for AI systems to analyze vast amounts of data and identify patterns that were previously beyond reach.

The potential of quantum machine learning algorithms to revolutionize AI cannot be overstated. Quantum computers operate on the principles of quantum theory, using qubits instead of classical bits. Qubits can exist in multiple states simultaneously, allowing for parallel processing and exponentially expanding computational capacity. Quantum entanglement, another quantum phenomenon, enables interconnectivity between qubits, leading to enhanced parallelism and computational power.

The impact of quantum computing on AI extends beyond computational speed and power. Quantum computing has the potential to enhance encryption and security, which are critical considerations in AI applications. Quantum-resistant cryptographic techniques can safeguard sensitive data, ensuring the privacy and security of AI systems.

Another area of exploration is the development of quantum neural networks. These networks combine the principles of quantum computing with neural network architectures, offering new ways to model and represent complex data. This opens up exciting possibilities for more robust and expressive AI models.

Furthermore, quantum computing can simulate quantum systems, which has significant implications for AI applications in fields such as quantum chemistry, materials science, and drug discovery. By accurately modeling and understanding complex molecular interactions, quantum computing can drive breakthroughs in these areas.

Despite the remarkable progress in quantum computing, challenges remain on the path to realizing its full potential. Quantum decoherence, maintaining qubit coherence for extended periods, and the need for low-temperature environments are ongoing challenges that researchers are actively addressing. Additionally, scaling quantum processors to handle practical, real-world problems is a formidable task.

Quantum computing is a rapidly evolving field that holds immense potential for revolutionizing various industries. However, researchers and scientists face several challenges and limitations in their pursuit of harnessing the full power of quantum computers. In this section, we will address these challenges, discuss the current limitations of quantum computing technology, and explore the scalability and practicality issues in large-scale quantum systems.

One of the major challenges faced by quantum computing researchers is quantum decoherence. Quantum systems are extremely sensitive to their surroundings and easily lose their quantum properties due to interactions with the environment. This leads to errors in computations and limits the reliability of quantum algorithms. To overcome this challenge, researchers are actively working on improving qubit stability and developing error correction techniques. Recent breakthroughs in quantum error correction codes bring us closer to achieving fault-tolerant quantum computation, where errors can be detected and corrected.

Another limitation of current quantum computing technology is the need for low-temperature environments. Quantum processors operate at extremely low temperatures close to absolute zero to minimize quantum decoherence. This requirement makes it challenging to scale up quantum systems and integrate them into practical applications. Researchers are exploring different approaches to building more stable and scalable qubits, such as superconducting circuits, trapped ions, and topological qubits. These advancements in quantum hardware are crucial for making quantum computers more practical and accessible.

Scalability is a key concern in large-scale quantum systems. While quantum computers have achieved impressive milestones, such as achieving quantum supremacy, they still have a limited number of qubits. Scaling quantum processors to handle real-world problems with a large number of qubits remains a formidable task. Companies like IBM, Google, and Microsoft are investing in developing quantum processors with increasing qubit counts. However, challenges related to qubit connectivity, error rates, and physical constraints need to be overcome to achieve scalable and practical quantum systems.

Quantum computing faces challenges and limitations that researchers are actively addressing. Quantum decoherence, improving qubit stability, and scaling quantum processors are some of the key areas of focus. Despite these challenges, the latest developments in quantum computing hold great promise. Quantum computers have the potential to solve problems that are currently beyond the reach of classical computers, ranging from simulating molecular structures for drug discovery to optimizing complex systems in finance and logistics. The ongoing advancements in quantum hardware and software are paving the way towards a future where quantum computers will play a pivotal role in transforming various industries.

Quantum computing has rapidly advanced in recent years, pushing the boundaries of whats possible in computation. One major breakthrough in the field was the achievement of quantum supremacy, where a quantum computer outperformed classical supercomputers in a specific task.

In 2019, Google announced that their 53-qubit Sycamore processor had achieved quantum supremacy, marking a historic milestone. This achievement demonstrated the growing maturity of quantum hardware. Other players in the field, including IBM and Rigetti Computing, have also made significant strides in demonstrating quantum supremacy. These advancements showcase the increasing capabilities of quantum hardware.

The rise of quantum cloud services has democratized access to quantum computing resources. Companies like IBM, Microsoft, and Rigetti have introduced cloud-based platforms that allow users to access quantum processors and experiment with quantum algorithms without the need for sophisticated hardware on-site. This accessibility is accelerating research and development in the quantum space.

Alongside hardware advancements, there has been a thriving quantum software ecosystem. Quantum programming languages, algorithms, and software tools have been developed to facilitate the design and execution of quantum computations. Companies like IBMs Qiskit, Googles Cirq, and Microsofts Quipper are actively contributing to this ecosystem, providing developers with the tools they need to harness the power of quantum computing.

Researchers are continuously exploring novel approaches to building more stable and scalable qubits, the basic units of quantum information processing. Superconducting qubits, trapped ions, and topological qubits are among the diverse technologies being investigated to create more robust quantum processors. Companies are also investing in developing quantum processors with increasing qubit counts. However, one of the current concerns in the advancement of quantum computing is quantum decoherence. Maintaining qubit coherence for extended periods and the need for low-temperature environments are ongoing challenges that researchers are actively addressing.

The impact of quantum computing on various industries is significant. In the field of cryptography, quantum computers have the potential to break current encryption methods, which could revolutionize cybersecurity. In drug discovery, quantum computing can simulate molecular structures and accelerate the development of new drugs. Optimization problems in finance and logistics can also be efficiently solved using quantum algorithms. Furthermore, quantum computing has the potential to revolutionize technology by enabling the development of more advanced AI models and solving complex problems that are currently beyond the reach of classical computers.

The latest developments in quantum computing have opened up exciting possibilities for the future. Quantum supremacy, the rise of quantum cloud services, the growth of the quantum software ecosystem, and advancements in quantum hardware have all contributed to the progress in this field. Although challenges remain, such as quantum decoherence and scaling quantum processors, the potential applications of quantum computing in various industries and fields are vast and transformative. Quantum computing has the power to revolutionize technology and redefine the limits of what we can achieve in computation and problem-solving.

Quantum computing is a rapidly advancing field that has the potential to revolutionize various industries and solve complex problems. However, along with its promising capabilities, there are important ethical considerations that need to be addressed.

One of the key ethical implications of quantum computing is its potential to break current encryption methods. Quantum computers can perform calculations at an exponentially faster rate than classical computers, making it easier for them to crack encryption codes that are currently considered secure. This raises concerns about the privacy of sensitive information, as quantum computers could potentially access encrypted data that was previously thought to be secure.

To address this concern, researchers are actively working on developing post-quantum cryptographic techniques. These techniques aim to create encryption methods that are resistant to attacks from both classical and quantum computers. By adopting these quantum-resistant cryptographic techniques, we can ensure the security and privacy of data in a quantum-enabled world.

Another ethical consideration in quantum computing is its impact on AI development. Quantum computing offers vast computational resources and the ability to solve intricate optimization problems, which can greatly enhance AI systems. However, this also raises questions about the potential misuse of AI powered by quantum computing. It is important to ensure that AI algorithms developed using quantum computing adhere to ethical principles, such as fairness, transparency, and accountability.

Furthermore, the democratization of quantum computing resources through cloud-based platforms raises concerns about access and equity. It is important to ensure that the benefits of quantum computing are accessible to a diverse range of individuals and organizations, rather than being limited to a privileged few.

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Quantum Computing Insights: Exploring the Latest Breakthroughs - AutoGPT

The explosive growth of generative artificial intelligence (GenAI) heralds opportunity and disruption across industries. It is transforming how we interact with technology itself. During this early phase of GenAI technology, organizations are exploring new ways to leverage this technology to unlock business value. While there is enormous promise, there are also some concerns.

The 2024 State of AI Report by Forrester reveals the current state of GenAI in terms of demand and supply, how companies are adopting it, and the factors enterprises should consider when preparing to implement the technology.

The latest report by Forrester suggests that a wave of disruption is coming. GenAI will add convenience and remove friction from experiences but there is still widespread confusion and misunderstanding about the technology. The daily announcements of new partnerships, features, services, and products related to GenAI are not helping with the confusion.

Large language models (LLMs) like OpenAIs GPT have been at the center of the GenAI growth. The Forrester report shows that a small number of key players dominate the LLM space. As the foundation models require years of development and millions of dollars of infrastructure, it is not surprising that the leading tech companies dominate this space.

The introduction of platforms like LoRA Land by Predibase is helping to level the playing field for smaller companies in the AI race. However, the larger tech companies are expected to continue their dominance, at least in the near future.

Forresters 2023 report showed that over 90 percent of AI-decision makers around the globe have plans to implement GenAI customer-facing and internal use cases. Based on the latest data, the production use cases for GenAI remain limited to sophisticated organizations.

Organizations are expecting broad value from GenAI, with productivity, innovation, and cost efficiencies being the top goals. However, organizations are yet to realize the bottom-line impact of their GenAI investments, which is leading to a more cautious approach where they start with internal use cases and then gradually move to customer-facing and other external applications.

The widespread adoption of GenAI is still handicapped by a lack of AI skills (30 percent), difficulty in integrating GenAI with existing infrastructure (28 percent), and data security and privacy concerns (28 percent).

Many organizations are waiting for the regulatory framework to mature and to have more clarity on the relevance of foundation models to their specific industries before they accelerate GenAI adoption.

GenAI is still new and has had remarkable growth since the start of 2023, however, it is still prone to hallucination, error, and bias. The technology is not designed to reason or fact-check, instead, it relies on millions of parameters and billions of data points to generate output.

The areas with the most impact of GenAI include employee productivity, customer support, and coding. These are functions that benefit the most from automating repetitive tasks to streamline workflows.

Based on the data collected in the study, Forester recommended setting governance guidelines and policies for the use of bring your own AI (BYOAI). As most of the AI operating in organizations is built by third-party vendors, organizations need to establish standards for evaluating GenAI in vendor solutions

Forrester also recommends leaders focus on high-value applications that have proven to deliver value. In addition, as GenAI becomes more complex, organizations must prepare to update their AI strategy with new standards and guardrails. There should be a continuous effort to keep evolving with the technology.

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Forrester's State of AI Report Suggests a Wave of Disruption Is Coming - HPCwire

CAMBRIDGE, United Kingdom and BERKELEY, Calif., Feb. 27, 2024 (GLOBE NEWSWIRE) -- Riverlane, the global leader in quantum error correction technology, and Rigetti (Nasdaq: RGTI), a pioneer in full-stack quantum-classical computing, today announced their participation in a project led by the US Department of Energys Oak Ridge National Laboratory (ORNL) to explore the challenges of integrating a quantum computer with a large-scale, supercomputing centre.

Quantum computers will play an important role in the future of computing as they promise to solve problems that are traditionally impossible to tackle on even the worlds largest classical supercomputers. As the performance of quantum computers improves, their integration with high-performance computing (HPC) to tackle complex computing challenges will become commonplace. We believe the result will be the ability to solve problems for society that are unsolvable today.

To assess the viability of integrating quantum computers into HPC environments, the project partners will build the first-ever benchmarking suite (QStone) for measuring the performance of a joint HPC + Quantum system. It will be run on ORNLs Summit, the fifth fastest supercomputer in the world, developed by IBM in 2018. For the quantum components, researchers will use simulated hardware based on key elements of Riverlanes quantum error correction stack, in particular its qubit control system which is already installed at the ORNL labs, and real remote hardware located at Rigettis headquarters in California.

ORNL is among the leaders in advanced quantum research with a dedicated team of researchers and a network of commercial, academic and government partnerships. Their work covers various research efforts from developing and benchmarking scalable, fault-tolerant algorithms to designing quantum sensors.

Riverlane, Rigetti and ORNL will publish the results of the project, sharing the key learnings about interoperability issues and performance from interfacing early quantum devices with HPC-infrastructure. This will include key learnings about whether quantum computers should be installed on-site or can be successfully used through remote access.

This project aims to move us ahead in making quantum computing devices both more practical in general and more interoperable with HPC systems. The benchmarking will help us explore and identify early challenges associated with such integration which will benefit future research in this space. We are proud to be part of this exciting initiative and understand more about how our quantum error correction stack can work in tandem with a world-leading supercomputing centre, said Marco Ghibaudi, Riverlane VP of Engineering.

Integrating quantum processors with modern HPC is an important next step in the evolution of both quantum computing and HPC. Collaborating with ORNL and Riverlane to develop and test the integration of Rigetti quantum hardware into ORNLs HPC systems could move us significantly closer to the deployment of the first quantum-enabled supercomputer, said Dr. Subodh Kulkarni, Rigetti CEO.

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

About Riverlane

Riverlanes mission is to make quantum computing useful sooner, starting an era of human progress as significant as the industrial and digital revolutions. To achieve this, Riverlane is building the Quantum Error Correction Stack to comprehensively control qubits and correct the billions of real-time data errors that prevent todays generation of quantum computers from achieving useful scale. Riverlanes customers are governments, quantum computer hardware companies and world-leading research labs. Investors include leading venture capital funds Molten Ventures, Amadeus Capital Partners and Cambridge Innovation Capital; the UKs national security investment fund (NSSIF); high-performance computing leader Altair; and the University of Cambridge.

Acknowledgement

This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725.

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, including but not limited to, expectations with respect to the Companys business and operations, including its expectations related to the collaboration with Riverlane and ORNL to explore the challenges of integrating a quantum computer with a large-scale, supercomputing centre and the results of succeeding in such integration with HPC and the ability to solve problems that are unsolvable today through such integration. Forward-looking statements generally relate to future events and can be identified by terminology such as commit, may, should, could, might, plan, possible, intend, strive, expect, intend, will, estimate, believe, predict, potential, pursue, aim, goal, outlook, anticipate, assume, or continue, or the negatives of these terms or variations of them or similar terminology. Such forward-looking statements are subject to risks, uncertainties, and other factors which could cause actual results to differ materially from those expressed or implied by such forward-looking statements. These forward-looking statements are based upon estimates and assumptions that, while considered reasonable by Rigetti and its management, are inherently uncertain. Factors that may cause actual results to differ materially from current expectations include, but are not limited to: Rigettis ability to achieve milestones, technological advancements, including with respect to its roadmap, and develop practical applications; the potential of quantum computing; the ability of Rigetti to obtain government contracts and the availability of government funding; the ability of Rigetti to expand its QCS business; the success of Rigettis partnerships and collaborations; Rigettis ability to accelerate its development of multiple generations of quantum processors; the outcome of any legal proceedings that may be instituted against Rigetti or others; the ability to continue to meet stock exchange listing standards; costs related to operating as a public company; changes in applicable laws or regulations; the possibility that Rigetti may be adversely affected by other economic, business, or competitive factors; Rigettis estimates of expenses and profitability; the evolution of the markets in which Rigetti competes; the ability of Rigetti to implement its strategic initiatives, expansion plans and continue to innovate its existing services; 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 regional 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, 2022 and Quarterly Reports on Form 10-Q for the quarters ended March 31, 2023, June 30, 2023 and September 30, 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.

Media Contact: press@rigetti.com

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Riverlane and Rigetti Computing Partner with Oak Ridge National Laboratory to Work to Improve HPC-Quantum ... - GlobeNewswire

This extreme fragility might make quantum computing sound hopeless. But in 1995, the applied mathematician Peter Shor discovered a clever way to store quantum information. His encoding had two key properties. First, it could tolerate errors that only affected individual qubits. Second, it came with a procedure for correcting errors as they occurred, preventing them from piling up and derailing a computation. Shors discovery was the first example of a quantum error-correcting code, and its two key properties are the defining features of all such codes.

The first property stems from a simple principle: Secret information is less vulnerable when its divided up. Spy networks employ a similar strategy. Each spy knows very little about the network as a whole, so the organization remains safe even if any individual is captured. But quantum error-correcting codes take this logic to the extreme. In a quantum spy network, no single spy would know anything at all, yet together theyd know a lot.

Each quantum error-correcting code is a specific recipe for distributing quantum information across many qubits in a collective superposition state. This procedure effectively transforms a cluster of physical qubits into a single virtual qubit. Repeat the process many times with a large array of qubits, and youll get many virtual qubits that you can use to perform computations.

The physical qubits that make up each virtual qubit are like those oblivious quantum spies. Measure any one of them, and youll learn nothing about the state of the virtual qubit its a part of a property called local indistinguishability. Since each physical qubit encodes no information, errors in single qubits wont ruin a computation. The information that matters is somehow everywhere, yet nowhere in particular.

You cant pin it down to any individual qubit, Cubitt said.

All quantum error-correcting codes can absorb at least one error without any effect on the encoded information, but they will all eventually succumb as errors accumulate. Thats where the second property of quantum error-correcting codes kicks in the actual error correction. This is closely related to local indistinguishability: Because errors in individual qubits dont destroy any information, its always possible to reverse any error using established procedures specific to each code.

Zhi Li, a postdoc at the Perimeter Institute for Theoretical Physics in Waterloo, Canada, was well versed in the theory of quantum error correction. But the subject was far from his mind when he struck up a conversation with his colleague Latham Boyle. It was the fall of 2022, and the two physicists were on an evening shuttle from Waterloo to Toronto. Boyle, an expert in aperiodic tilings who lived in Toronto at the time and is now at the University of Edinburgh, was a familiar face on those shuttle rides, which often got stuck in heavy traffic.

Normally they could be very miserable, Boyle said. This was like the greatest one of all time.

Before that fateful evening, Li and Boyle knew of each others work, but their research areas didnt directly overlap, and theyd never had a one-on-one conversation. But like countless researchers in unrelated fields, Li was curious about aperiodic tilings. Its very hard to be not interested, he said.

Interest turned into fascination when Boyle mentioned a special property of aperiodic tilings: local indistinguishability. In that context, the term means something different. The same set of tiles can form infinitely many tilings that look completely different overall, but its impossible to tell any two tilings apart by examining any local area. Thats because every finite patch of any tiling, no matter how large, will show up somewhere in every other tiling.

If I plop you down in one tiling or the other and give you the rest of your life to explore, youll never be able to figure out whether I put you down in your tiling or my tiling, Boyle said.

To Li, this seemed tantalizingly similar to the definition of local indistinguishability in quantum error correction. He mentioned the connection to Boyle, who was instantly transfixed. The underlying mathematics in the two cases was quite different, but the resemblance was too intriguing to dismiss.

Li and Boyle wondered whether they could draw a more precise connection between the two definitions of local indistinguishability by building a quantum error-correcting code based on a class of aperiodic tilings. They continued talking through the entire two-hour shuttle ride, and by the time they arrived in Toronto they were sure that such a code was possible it was just a matter of constructing a formal proof.

Li and Boyle decided to start with Penrose tilings, which were simple and familiar. To transform them into a quantum error-correcting code, theyd have to first define what quantum states and errors would look like in this unusual system. That part was easy. An infinite two-dimensional plane covered with Penrose tiles, like a grid of qubits, can be described using the mathematical framework of quantum physics: The quantum states are specific tilings instead of 0s and 1s. An error simply deletes a single patch of the tiling pattern, the way certain errors in qubit arrays wipe out the state of every qubit in a small cluster.

The next step was to identify tiling configurations that wouldnt be affected by localized errors, like the virtual qubit states in ordinary quantum error-correcting codes. The solution, as in an ordinary code, was to use superpositions. A carefully chosen superposition of Penrose tilings is akin to a bathroom tile arrangement proposed by the worlds most indecisive interior decorator. Even if a piece of that jumbled blueprint is missing, it wont betray any information about the overall floor plan.

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Never-Repeating Tiles Can Safeguard Quantum Information - Quanta Magazine