Nvidia Rigetti Quantum Machines Deliver Ai Powered Quantum Computing

TEL AVIV, Israel and BERKELEY, Calif., Dec. 10, 2024 (GLOBE NEWSWIRE) — Quantum Machines, the leading provider of processor-based quantum controllers and Rigetti Computing (Nasdaq: RGTI), a pioneer in full-stack quantum-classical computing, today announced the successful application of AI to automate... The work was completed as part of the “AI for Quantum Calibration Challenge” (the “Challenge”) that was jointly issued by Rigetti and Quantum Machines and hosted at the Israeli Quantum Computing Center (IQCC). The two companies participating in the Challenge, Quantum Elements and Qruise, automated the calibration of a 9-qubit Rigetti Novera™ QPU integrated with Quantum Machines’ advanced OPX1000 control system and NVIDIA DGX Quantum, a unified... This achievement not only showcases the potential of AI in quantum computer calibration, but also highlights the growing maturity and collaboration within the quantum computing ecosystem. Quantum Elements used their software to achieve high accuracy in setting up individual and pairs of qubits, reaching 99.9% single-qubit gate fidelity and 98.5% two-qubit gate fidelity.

Qruise leveraged the control system to fine-tune all nine qubits simultaneously, speeding up the preparation process. As the industry scales the number of qubits in quantum computing systems, it grapples with increasingly complex calibration requirements. “Calibrating quantum computers has become one of the most significant bottlenecks in scaling quantum systems,” said Dr. Yonatan Cohen, co-founder and CTO of Quantum Machines. “Today, it can take weeks to months of expert time to develop the model to properly calibrate even a modest-sized quantum processor, and hours, sometimes daily, to re-run those calibrations. Each qubit requires careful tuning of dozens of parameters, and these parameters drift over time and interact with each other in complex ways.

As we move toward systems with thousands of qubits, the challenge becomes exponentially more difficult. The traditional approach of manual calibration by quantum physicists simply won’t scale with our ambitions for larger quantum computers.” “These results demonstrate the remarkable potential of AI-powered calibration tools in quantum computing,” said David Rivas, CTO at Rigetti Computing. “Using automated processes, both Qruise and Quantum Elements achieved performance levels matching our rigorous system specifications – work that can require weeks of manual tuning by a skilled engineering team. As we advance toward larger qubit counts, having validated that AI tools can reach our performance benchmarks is an exciting moment for the industry. This successful demonstration shows how automation accelerates quantum computer setup while maintaining the exacting standards required for quantum computation.

We look forward to seeing these tools used by our customers who have both our Novera QPU and Quantum Machines’ control.” Transforming Data for a Smarter Future. Empowering Businesses with Modern Cloud Solutions and Cutting-Edge AI/ML Innovations. Quantum Machines, Rigetti Computing, and Nvidia announced the successful application of AI to automate the calibration of a quantum computer. from quantum research firm GQI. Quantum technology will have “a wide impact across all industry sectors” but all major approaches to quantum computing still face many challenges, say GQI analysts.

One of these challenges is the increasingly complex calibration requirements of quantum computing systems, a significant bottleneck slowing down efforts to scale them. “As we move toward systems with thousands of qubits,” says Yonatan Cohen, co-founder and CTO of Quantum Machines, “the challenge becomes exponentially more difficult. The traditional approach of manual calibration by quantum physicists simply won't scale with our ambitions for larger quantum computers.” Quantum Machines, Rigetti Computing, and Nvidia announced today the successful application of AI to automate... With their AI-powered tools, Quantum Elements and Qruise, remotely automated the calibration of a 9-qubit Rigetti quantum processing unit integrated with Quantum Machines’ advanced control system and Nvidia DGX Quantum. A unified system for quantum-classical computing that Nvidia built with Quantum Machines, it is hosted at the The use of AI tools, says the GQI report, “could unlock a new wave of algorithmic progress. Just as quantum hardware is expected to improve, quantum software improvements can play their part in closing the gap to quantum utility.” Automated, rather than manual calibration, speeds up the lengthy preparation process of...

Also focusing on speed,last week that they are joining forces to bring Nvidia CUDA-Q, its open-source quantum development environment, to Amazon Braket. GPU-based simulations on Braket have demonstrated up to 350x speed improvements over CPU-based simulations, enabling more efficient testing of quantum circuits.What We Know About Luigi Mangione: Suspect In Brian Thompson Shooting Charged With Murderto... Quantum computing startups have already raised $1.5 billion in venture funding in 50 deals so far this year, almost doubling the $785 million raised last year.As of August 2024, Israel had 22 quantum computing... “This suggests a strong potential rebound and growing investor confidence in quantum technologies,” concludes the report. Investment in quantum technology is not just a private matter. Governments around the world are investing heavily in quantum computing, communications and sensing.

As with AI, this is usually presented as primarily a race between two superpowers. China is “positioning itself as a dominant cyber and quantum technology player,”In response, the newly proposed bi-partisan National Quantum Initiative Reauthorization Act would authorize $2.7 billion in federal funding to accelerate quantum research and... The bill would refocus the National Quantum Initiative from basic research to practical applications and expand it to include other federal agencies such as the National Institutes of Health , State Department and Small... “The technology could lead to breakthroughs in drug discovery, weather forecasting, financial and economic modeling, artificial intelligence, cryptography and other innovations. Quantum sensing applications can provide more precise measurements critical for navigation and tracking, seismic monitoring, infrastructure monitoring and geographical surveying.”Our community is about connecting people through open and thoughtful conversations. We want our readers to share their views and exchange ideas and facts in a safe space.Insults, profanity, incoherent, obscene or inflammatory language or threats of any kindContinuous attempts to re-post comments that have...

Similar News:You can also read news stories similar to this one that we have collected from other news sources. In step forward for quantum computing hardware, physicist uncovers novel behavior in quantum-driven superconductorsA new study has uncovered important behavior in the flow of electric current through quantum superconductors, potentially advancing the development of... Read more » TEL AVIV, Israel and BERKELEY, Calif., December 10, 2024 -- Quantum Machines, the leading provider of processor-based quantum controllers and Rigetti Computing, a pioneer in full-stack quantum-classical computing, today announced the successful application of... The work was completed as part of the “AI for Quantum Calibration Challenge” (the “Challenge") that was jointly issued by Rigetti and Quantum Machines and hosted at the Israeli Quantum Computing Center (IQCC). The two companies participating in the Challenge, Quantum Elements and Qruise, automated the calibration of a 9-qubit Rigetti Novera QPU integrated with Quantum Machines’ advanced OPX1000 control system and NVIDIA DGX Quantum, a unified...

This achievement not only showcases the potential of AI in quantum computer calibration, but also highlights the growing maturity and collaboration within the quantum computing ecosystem. Quantum Elements used their software to achieve high accuracy in setting up individual and pairs of qubits, reaching 99.9% single-qubit gate fidelity and 98.5% two-qubit gate fidelity. Qruise leveraged the control system to fine-tune all nine qubits simultaneously, speeding up the preparation process. As the industry scales the number of qubits in quantum computing systems, it grapples with increasingly complex calibration requirements. “Calibrating quantum computers has become one of the most significant bottlenecks in scaling quantum systems,” said Dr. Yonatan Cohen, co-founder and CTO of Quantum Machines.

“Today, it can take weeks to months of expert time to develop the model to properly calibrate even a modest-sized quantum processor, and hours, sometimes daily, to re-run those calibrations. Each qubit requires careful tuning of dozens of parameters, and these parameters drift over time and interact with each other in complex ways. As we move toward systems with thousands of qubits, the challenge becomes exponentially more difficult. The traditional approach of manual calibration by quantum physicists simply won't scale with our ambitions for larger quantum computers.” “These results demonstrate the remarkable potential of AI-powered calibration tools in quantum computing,” said David Rivas, CTO at Rigetti Computing. “Using automated processes, both Qruise and Quantum Elements achieved performance levels matching our rigorous system specifications – work that can require weeks of manual tuning by a skilled engineering team.

As we advance toward larger qubit counts, having validated that AI tools can reach our performance benchmarks is an exciting moment for the industry. This successful demonstration shows how automation accelerates quantum computer setup while maintaining the exacting standards required for quantum computation. We look forward to seeing these tools used by our customers who have both our Novera QPU and Quantum Machines’ control.” October 28, 2025 16:05 ET | Source: Rigetti Computing, Inc. Rigetti Computing, Inc. BERKELEY, Calif., Oct.

28, 2025 (GLOBE NEWSWIRE) -- Rigetti Computing, Inc. (Nasdaq: RGTI) (“Rigetti” or the “Company”), a pioneer in full-stack quantum-classical computing, announced today that it is supporting NVIDIA NVQLink, NVIDIA’s new open platform for integrating AI supercomputing with quantum computers. Rigetti is exhibiting its collaboration with NVIDIA NVQLink at the Quantum Computing Pavilion at NVIDIA GTC Washington, D.C. NVIDIA GTC attendees can also view a full-scale demonstration of a Rigetti quantum computer in NVIDIA’s booth throughout the event. It is widely believed that utility-scale quantum computing will be realized through the tight integration of quantum computers with classical computing systems. Rigetti’s quantum computing processors, which are powered by superconducting qubits, are ideal for hybrid systems given their fast gate speeds and scalability.

“Rigetti is proud to work with NVIDIA in support of the rapidly evolving quantum ecosystem,” says Dr. Subodh Kulkarni, Rigetti CEO. “By providing low latency and high throughput of quantum hardware and AI supercomputing, NVQLink is a very promising resource to accelerate hybrid computation development as we work towards quantum advantage.” Quantum Machines, Rigetti Computing, and Nvidia announced today the successful application of AI to automate the calibration of a quantum computer. With their AI-powered tools, Quantum Elements and Qruise, remotely automated the calibration of a 9-qubit Rigetti quantum processing unit (QPU) integrated with Quantum Machines’ advanced control system and Nvidia DGX Quantum. A unified system for quantum-classical computing that Nvidia built with Quantum Machines, it is hosted at the Israeli Quantum Computing Center (IQCC).

Rigetti Computing, a well-established player in full-stack quantum-classical computing, announced its support for NVIDIA's NVQLink—a new open platform for connecting AI supercomputing directly with quantum computers. This move aims to accelerate development in hybrid quantum-classical applications and broaden Rigetti’s impact on enterprise and research innovation. The announcement comes as Rigetti showcases its collaboration with NVIDIA at the Quantum Computing Pavilion during the NVIDIA GTC event in Washington, D.C. Here, Rigetti demonstrates the tight integration between its quantum processors, built with superconducting qubits, and NVIDIA’s high-performance AI infrastructure. By offering low latency and high throughput between CPUs, GPUs, and QPUs, the companies seek to remove traditional bottlenecks that slow hybrid computation and open the door to utility-scale quantum computing. Rigetti has provided quantum systems via cloud services since 2017 and began offering on-premises quantum solutions in 2021.

Their systems, ranging from 24 to 84 qubits and supported by the company’s proprietary multi-chip architecture, cater to global clients in government, national laboratories, and private research centers. The newly announced NVQLink integration is designed to plug these powerful systems into existing supercomputing infrastructure—bringing utility-scale quantum solutions within closer reach for more users. Both Rigetti and NVIDIA emphasize that the success of NVQLink will depend on broad industry adoption, continued technology advances, and reliable, real-time interoperability. The ability to deliver on the promise of quantum-classical hybrid computing could reshape everything from AI research to materials science. Yet, Rigetti’s own statement acknowledges risks—ranging from customer uptake and development hurdles to broader economic uncertainty. These factors may impact how quickly hybrid quantum solutions make the jump from demonstration to real-world utility.

By supporting NVQLink, Rigetti positions itself at the forefront of quantum-AI integration. The collaboration not only underscores the rising importance of interoperable quantum-classical platforms but also reflects growing momentum toward making quantum computing practical, scalable, and accessible for more organizations. For anyone tracking the next generation of supercomputing, this marks an important signal to watch. “Quantum Technology is the largest paradigm shift in a generation,” says a recent comprehensive assessment of the current state of quantum computing from quantum research firm GQI. Quantum technology will have “a wide impact across all industry sectors” but all major approaches to quantum computing still face many challenges, say GQI analysts. One of these challenges is the increasingly complex calibration requirements of quantum computing systems, a significant bottleneck slowing down efforts to scale them.

“As we move toward systems with thousands of qubits,” says Yonatan Cohen, co-founder and CTO of Quantum Machines, “the challenge becomes exponentially more difficult. The traditional approach of manual calibration by quantum physicists simply won't scale with our ambitions for larger quantum computers.” Quantum Machines, Rigetti Computing, and Nvidia announced today the successful application of AI to automate the calibration of a quantum computer. With their AI-powered tools, Quantum Elements and Qruise, remotely automated the calibration of a 9-qubit Rigetti quantum processing unit (QPU) integrated with Quantum Machines’ advanced control system and Nvidia DGX Quantum. A unified system for quantum-classical computing that Nvidia built with Quantum Machines, it is hosted at the Israeli Quantum Computing Center (IQCC).

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