Quantum Machines Makes Quantum Computers Easier to Program With NVIDIA CUDA-Q And NVQLink

Insider Brief

• Quantum Machines ran an end-to-end NVIDIA CUDA-Q program across live qubits, GPUs and CPUs using NVIDIA NVQLink.
• The demonstration used a single program to route quantum and classical tasks to the appropriate processors without requiring developers to hand-code low-level control sequences.
• The system exchanged measurements and control decisions in microseconds, supporting the real-time processing needed for tasks such as quantum error correction.

PRESS RELEASE — Quantum Machines, a leading provider of advanced quantum control solutions, today became the first control company to run an end-to-end NVIDIA CUDA-Q program across live qubits and a PPU classical processor with NVIDIA NVQLink. CUDA-Q is NVIDIA’s open platform for quantum-GPU supercomputing, providing a way of writing instructions that both a classical computer and a quantum computer can follow. This enables a software developer to write applications that can easily share quantum and classical resources, taking advantage of the power and reliability of supercomputing in the quantum workflow. NVQLink is the microsecond-speed connection architecture between a quantum controller and GPUs.

This breakthrough demonstration shows how engineers, developers and researchers can run hybrid quantum-classical applications using CUDA-Q, which handles the underlying technical steps automatically in familiar programming languages used across the quantum industry, such as Python, C++, or QUA. This removes the need to hand-code the low-level control sequences that have traditionally required specialist quantum-hardware expertise.