NVIDIA CUDA-Q

NVIDIA CUDA-Q™ is the QPU-agnostic platform for accelerated quantum supercomputing.

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Product Overview

CUDA-Q is an open-source quantum development platform orchestrating the hardware and software needed to run useful, large-scale quantum computing applications. The platform’s hybrid programming model allows computation on GPU, CPU, and QPU resources in tandem from within a single quantum program. CUDA-Q is “qubit-agnostic”—seamlessly integrating with all QPUs and qubit modalities and offering GPU-accelerated simulations when adequate quantum hardware is not available.

CUDA-Q extends simulation tools far beyond the NISQ-era—charting a course to large-scale, error-corrected quantum supercomputing.


Benefits

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Productive

Streamlines hybrid quantum-classical development with a unified programming model, improving productivity and scalability in quantum algorithm research.

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Future Proof

Hybrid application development at scale for future accelerated quantum supercomputers.

QPU agnostic and efficiently integrated with all qubit modalities.

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High Performance

Up to 2500X speedups for large-scale simulations on GPUs. Best-in-class compiler and runtime tools that optimize user code with backend-specific tailored performance.

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Open Platform

Interoperability with AI and HPC workflows and integration with quantum tools across the stack.

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Quantum Hardware Design

Capabilities to design and simulate quantum systems on the path for accelerated quantum supercomputers.

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AI for Quantum

Accelerate high-performance AI workflows that enable quantum applications.


Built for Performance

NVIDIA CUDA-Q enables straightforward execution of hybrid code on many different types of quantum processors, simulated or physical. Researchers can leverage the cuQuantum-accelerated simulation backends as well as QPUs from our partners or connect their own simulator or quantum processor.

GPU Advantage

CUDA-Q quantum algorithms can achieve a speedup of up to 2500X over CPU, scaling the number of qubits using multiple GPUs.

A chart showing CUDA-Q performance

Multiple GPU Scaling

Multiple GPUs can scale a quantum algorithm beyond today’s quantum devices.

Multiple GPUs can scale a quantum algorithm beyond today’s quantum devices

Algorithm Speedup

NVIDIA CUDA-Q can significantly speed up quantum algorithms, compared to other quantum frameworks. Researchers from Chung Yuan Christian University in Taiwan were able to dramatically improve training and inference time using CUDA-Q over other quantum frameworks.

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Multiple GPUs can scale a quantum algorithm beyond today’s quantum devices


Latest CUDA-Q News


Partner Stories

NVIDIA CUDA-Q partner - HSBC

165+

qubits

4%

reduction in false positives

2%

increase in true positives

CUDA-Q enables simulation of 165+ qubit quantum computation for increasing fraud detection accuracy.

NVIDIA CUDA-Q partner - NERSC

400k

hours of GPU access unlocked.

38+

world-class projects facilitated.

CUDA-Q grows NERSC’s quantum ecosystem, enabling researchers to study hybrid applications, quantum algorithms, and error correction in a supercomputing environment.

NVIDIA CUDA-Q partner - Chung Yan Christian University

2.7X

training speedup over other GPU quantum simulators.

3.5X

less error compared to other GPU quantum simulators.

CUDA-Q accelerated a hybrid quantum neural network for predicting solar panel placement.

NVIDIA CUDA-Q partner - BASF

200X

speedup over CPU using NVIDIA DGX™ Cloud.

6X

larger simulation with CUDA-Q than possible with existing HPC.

CUDA-Q was used to develop hybrid algorithms that draw on both quantum and classical resources to chemically model toxin-removing catalysts.


What Others Are Saying

CUDA-Q provides a great means to stage hybrid quantum operations for energy research during the NISQ era and beyond. Accelerating both the classical and quantum tasks allows us to explore best-case and worst-case solutions for integrating HPCs and quantum computers in solution pipelines.

— Professor Ying-Yi Hong

CUDA-Q enabled us to not worry about qubit scalability limitations and be HPC-ready from day one.

— Boniface Yogendran, Lead Developer

Quantum Computing Partners

Quantum Computing Partner - Agnostiq
Quantum Computing Partner - Alice & Bob
Quantum Computing Partner - Anyon Technologies
Quantum Computing Partner - Atlantic Quantum
Quantum Computing Partner - Diraq
Quantum Computing Partner - Equal1
Quantum Computing Partner - Atom Computing
Quantum Computing Partner - Fermioniq
Quantum Computing Partner - IonQ
Quantum Computing Partner - IQM
Quantum Computing Partner - QuEra Computing
Quantum Computing Partner - Orca Computing
Quantum Computing Partner - Oxford Quantum Circuits
Quantum Computing Partner - Pasqal
Quantum Computing Partner - qBraid
Quantum Computing Partner - Quantum Circuits Inc
Quantum Computing Partner - QC Ware
Quantum Computing Partner - Quantnuum
Quantum Computing Partner - Quantum Brilliance
Quantum Computing Partner - Quantum Machines
Quantum Computing Partner - Rigetti
Quantum Computing Partner - SEEQC
Quantum Computing Partner - Terra Quantum

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