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 useful quantum computing, allowing systems to overcome the errors inherent in physical qubits so they can execute the larger computations needed for practical applications such as drug discovery, financial modeling and materials development.

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 change the resources needed to run any given application.

With CUDA-Q Logical, researchers can now design and orchestrate the many components required for fault-tolerant quantum computing applications, easily switching between options to identify optimal system configurations for performance with logical qubits.

“Quantum computing is maturing into an era of logical qubits, and researchers need an open, customizable platform capable of representing all aspects of a fault-tolerant system,” said Timothy Costa, vice president and general manager of quantum at NVIDIA. “The addition of CUDA-Q Logical provides power and flexibility to explore fully integrated, co-optimized systems regardless of qubit type and architecture — drastically shortening the timeline to useful quantum-GPU supercomputing.”

CUDA-Q Logical is already being used by QPU makers and labs including Fermi National Accelerator Laboratory, Infleqtion, IQM Quantum Computers, QCDesign Quantum Motion and Sandia National Laboratories.

Using CUDA-Q Logical, Iceberg Quantum modeled its fault-tolerant architecture for Diraq’s qubits, showing how 1,000 logical qubits can be created with just 150,000 physical qubits, roughly 10x fewer than Diraq’s previous estimates.

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