Quantum Machines Announces NVIDIA DGX Quantum Early Access Program, Advancing Hybrid Quantum-Classical Computing

Six Leading Research Groups and Quantum Computer Builders Including Diraq and Israeli Quantum Computing Center Deploying First Tightly Integrated Quantum-Classical Solution

TEL AVIV, Israel, March 18, 2025 /PRNewswire/ -- Quantum Machines (QM), the leading provider of advanced quantum control solutions, today announced the NVIDIA DGX Quantum Early Customer Program, with a cohort of six leading research groups and quantum computer builders. NVIDIA DGX Quantum, a reference architecture jointly developed by NVIDIA and QM, is the first tightly integrated quantum-classical computing solution, designed to unlock new frontiers in quantum computing research and development.

As quantum computers scale, their reliance on classical resources for essential operations, such as quantum error correction (QEC) and parameter drift compensation, grows exponentially. NVIDIA DGX Quantum provides access to the classical acceleration needed to support this progress, advancing the path toward practical quantum supercomputers.

NVIDIA DGX Quantum leverages OPX1000, the best-in-class, modular high-density hybrid control platform, seamlessly interfacing with NVIDIA GH200 Grace Hopper Superchips. This solution brings accelerated computing into the heart of the quantum computing stack for the first time, achieving an ultra-low round-trip latency of less than 4 µs between quantum control and AI supercomputers – faster than any other approach.

The NVIDIA DGX Quantum Early Customer Program is now underway, with selected leading academic institutions, national labs, and commercial quantum computer builders participating. These include the Engineering Quantum Systems group (equs.mit.edu) led by MIT Professor William D. Oliver, the Israeli Quantum Computing Center (IQCC), quantum hardware developer Diraq, the Quantum Circuit group (led by Ecole Normale Supérieure de Lyon Professor Benjamin Huard), and more.

With deep hardware-level integration via PCIe, NVIDIA DGX Quantum eliminates bottlenecks, enabling real-time QEC decoding, AI-driven quantum processor calibration, and high-speed hybrid quantum-classical applications. Moreover, the solution is highly scalable, expanding with additional OPX1000 controllers and Grace Hopper servers as required, creating future-proof accelerated quantum supercomputing infrastructure.

"NVIDIA DGX Quantum, with OPX1000 inside, represents a paradigm shift in quantum-classical computing," said Dr. Itamar Sivan, CEO and co-founder of Quantum Machines. "By combining the industry's most advanced quantum control with the world's most advanced accelerated computing, we're enabling quantum computer builders to operate large QPUs. We're opening a new world of possibilities for quantum computing researchers, and we're all excited to see the progress and use cases that will emerge as a result."

"I'm excited to be able to use codes of arbitrary complexity for real time processing of quantum measurement records in superconducting circuits," said Professor Benjamin Huard, ENS de Lyon. "NVIDIA DGX Quantum should allow us to determine quantum states and estimate parameters in complex quantum systems and use them for realizing fundamental physics experiments or better fidelity quantum operations."

"DGX Quantum brings together two of our most trusted partners – Quantum Machines and NVIDIA – with a product that will prepare us for the future of hybrid QC/HPC," said Professor Andre Saraiva, Head of Solid-State Theory, Diraq. "With fast feedforward and turnkey integration to existing HPC compute, Diraq will be ready to quickly ramp up its qubit counts and error handling systems."

"DGX Quantum offers exciting possibilities to significantly speed up hybrid quantum algorithms and thereby opens new avenues for research and development," said Dr. Walter Hahn, Project manager at Fraunhofer IAF.

"Installed in the Israeli Quantum Computing Center (IQCC), the NVIDIA DGX Quantum system displays record calibration speeds for single and two qubit gates. This is achieved using reinforcement learning agents running on Grace-Hopper Superchips, continuously learning the qubit noise environment and optimizing drive and readout fidelities, a necessary step towards QEC," said Dr. Nir Alfasi, GM, IQCC.

Learn more on NVIDIA DGX Quantum
Quantum Machines will showcase NVIDIA DGX Quantum at APS March Meeting 2025 on March 16-21 at Booth #213 zone A, demonstrating how this revolutionary platform is advancing the next era of quantum computing.

Parallel to APS, Dr. Ramon Szmuk (Quantum Machines) will present "Integrated QPU/GPU Calibration of Multiqubit Circuits" at NVIDIA GTC 2025 on March 19, 2025, at 9:00 AM in Room 210F, San Jose McEnery Convention Center. He will discuss the cutting-edge integration of NVIDIA DGX Quantum for scalable QPU calibration.

About Quantum Machines
Quantum Machines (QM) is a leading provider of quantum control solutions, driving the advancement of quantum computing with its Hybrid Control approach. By harmonizing quantum and classical operations, Hybrid Control eliminates friction and optimizes performance across hardware and software, enabling researchers and builders to iterate at speed, resolve setbacks, and bring visionary ideas to life. Its platform supports any type of quantum processor, empowering the industry to scale systems, accelerate breakthroughs, and push the boundaries of what's possible.

To learn more about Quantum Machines, visit quantum-machines.co.

QM Media Contact
Yonatan Snir
yonatan.snir@quantum-machines.co

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SOURCE Quantum Machines