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Cloud PlatformEst. 1993Santa Clara, California

NVIDIA

Nvidia CUDA-Q

The GPU muscle behind every quantum lab.

Not a hardware maker — but the GPU muscle and CUDA-Q platform that powers hybrid quantum-classical simulation everywhere.

Doesn't Build Qubits

Nvidia has no quantum hardware — it powers everyone else's simulation and control.

Led by Tim Costa (Head of Quantum & HPC)

The Story

Timeline.

2021

Announces cuQuantum for GPU-accelerated quantum circuit simulation.

2023

Launches CUDA Quantum (now CUDA-Q), a hybrid quantum-classical development platform.

2024

Announces NVAQC — the Nvidia Accelerated Quantum Research Center at Harvard.

2025

Nvidia CEO calls quantum 'inflection point' at CES; every major QC vendor now uses CUDA-Q.

What makes them different

Key Facts

  • Nvidia doesn't build quantum hardware — it powers everyone else's.
  • GPUs simulate quantum circuits far faster than any CPU cluster.
  • CUDA-Q lets developers mix classical AI and quantum kernels seamlessly.
  • Grace Hopper superchips will be paired with quantum processors as accelerators.

Real-world pilots

Quantum Uses Today

  • Quantum circuit simulation at every major hardware company.
  • Hybrid quantum-classical AI training and inference.
  • Real-time error correction offloaded onto GPUs.

If they succeed

Potential Applications

  • GPUs as the classical brain of every fault-tolerant quantum computer.
  • Massively parallel quantum error decoding.
  • Quantum-accelerated drug and materials pipelines.