NVIDIA Expands CUDA-Q Platform for Quantum Computing

NVIDIA today announced an expansion of the NVIDIA CUDA-Q™ open source platform with CUDA-Q Logical, an orchestration layer that provides a programmable, verifiable approach to developing useful applications for fault-tolerant quantum computers. Fault-tolerant quantum processors with logical qubits are essential for practical applications such as drug discovery, financial modeling, and materials development, as they allow systems to overcome errors inherent in physical qubits.

However, developing applications for such systems is a tedious, time-consuming codesign challenge. A change to an algorithm, error-correction code, hardware architecture, or other QPU component can significantly alter the resources needed to run any given application. The new CUDA-Q Logical layer addresses this by providing a standardized, programmable way to design and test fault-tolerant quantum computing applications.

Fermilab used CUDA-Q Logical to accelerate fault-tolerant architecture development from five months to three weeks, achieving a 7x speedup. QUOPS, a benchmark for the readiness of fault-tolerant quantum hardware for practical applications developed by Sandia National Laboratories, is now available in NVIDIA CUDA-Q.

The quantum ecosystem is also adopting NVIDIA CUDA-Q, with BlueQubit launching the Quantum Flywheel grant program for researchers to access NVIDIA accelerated computing through CUDA-Q. Qedma Quantum Computing and QCentroid have integrated their technology with CUDA-Q to support quantum error correction and mitigation, as well as the deployment of quantum applications.

Availability

CUDA-Q Logical is now available through GitHub. Explore the QUOPS repository.

Source: nvidia-newsroom