Diraq and QM employ AI for scaling silicon-based quantum computers with NVIDIA DGX Quantum

SYDNEY and CLAYMONT, Del., June 11, 2025 /PRNewswire/ -- Diraq and QM Technologies Inc. today announced the first-ever tight integration of GPUs and silicon quantum processors with the deployment of a system using the NVIDIA DGX Quantum architecture to achieve real-time communication speeds of 3.3 microseconds between quantum hardware and NVIDIA Grace-Hopper superchips, orchestrated through QM's OPX1000 hybrid controller.

Working at Diraq's Sydney laboratories, engineers from Diraq and QM demonstrated how GPU acceleration can solve critical bottlenecks in quantum computing. The team implemented three applications that address fundamental scaling challenges: a real-time readout enhancement that was previously only possible through post-processing, automated calibration using machine learning, and accelerated quantum state initialization.

The results were achieved within just one week of DGX Quantum installation at Diraq's facilities, demonstrating the system's ability to have an immediate impact on quantum computing research. The system combines NVIDIA Grace Hopper with QM's OPX1000 control system, enabling quantum processors to leverage AI and other GPU-accelerated computation in real-time.

"The importance of integrating classical computing power with future quantum computers can't be understated," said Andrew Dzurak, CEO and Founder of Diraq. "This collaboration pushes the limits of real-time quantum control, highlighting the remarkable integration potential of Diraq's silicon qubit arrays. We would not be able to achieve these results so fast if it weren't for our partnerships with QM and NVIDIA."

The most significant achievement was implementing correlated readout in real-time, building on methods from Diraq's published research. This complex signal processing task requires computational power beyond what traditional FPGAs can provide, making GPU acceleration essential. Machine learning algorithms running on the GPU also automated calibration processes that traditionally require hours of manual tuning, while Diraq's algorithmic initialization protocols (detailed in their recent Nature publication) used GPU acceleration to achieve faster state preparation, which is critical for ensuring quantum states can be prepared before they degrade.

"When we first envisioned DGX Quantum, we knew the real test would be whether quantum computing teams could achieve meaningful results quickly," said Itamar Sivan, CEO and Co-Founder of QM. "Diraq's success in developing three distinct applications within a week proves that quantum-AI integration has moved beyond the hype stage. We're seeing researchers solve real problems by combining quantum and classical processing in ways that weren't possible before."

The 3.3-microsecond round-trip time between the quantum processor and GPU is crucial for these achievements. This low latency enables real-time feedback loops, sending commands and receiving responses before quantum information degrades, which is essential for practical quantum computing.

"This collaboration exemplifies the future of computing, with GPU and QPU seamlessly integrated to expand what can be achieved with accelerated computing," said Tim Costa, senior director of quantum and CUDA-X at NVIDIA. "DGX Quantum enables the huge advances made in AI algorithms and hardware to be brought to quantum computing workloads, and allows the development of hybrid algorithms that will pioneer new areas of computing."

Looking ahead, DGX Quantum will be able to support real-time error-correction protocols on a hybrid quantum–classical architecture. DGX Quantum also enables Diraq's hardware to be directly integrated with NVIDIA's open-source quantum development platform, NVIDIA CUDA-Q, highlighting the viability of GPU-based control for future quantum computers.

The results will be highlighted at GTC Paris 2025, where NVIDIA's Director of Quantum Algorithm Engineering, Elica Kyoseva, will discuss the future of hybrid quantum-classical algorithm development.

About Diraq

Diraq is a global leader in building quantum processors using silicon 'quantum dot' technology, leveraging proprietary technology developed over 20 years of research. Diraq is a private company, founded in 2022 and headquartered in Sydney, Australia, with operations in Palo Alto, California, and Boston, Massachusetts. Our approach relies on the existing silicon manufacturing processes, known as CMOS, used by foundries to produce today's semiconductor components. By capitalizing on existing high-volume chip fabrication technology and semiconductor manufacturing capabilities, Diraq is accelerating the change that can transform computing as we know it. Diraq's platform architecture is purpose-built to drive the significant processing advances required to reduce cost and energy barriers, and to realize quantum computing's full societal and economic potential, forging a faster and cheaper road to market. Diraq's goal is to revolutionize quantum computing by driving qubit numbers on a single chip to the many millions, and ultimately billions needed for useful commercial applications.

Diraq Media Contact:
Andre Saraiva
[email protected]

About QM

QM Technologies Inc. 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.

QM Media Contact:
Yonatan Snir
[email protected]

SOURCE QM Technologies Inc.; Diraq