VQCSim: When Does Compile-Once Statevector Simulation Beat Generic Quantum Frameworks?
Hybrid quantum-classical machine learning workflows repeatedly evaluate many small parametrized circuits during training and model exploration. In this regime, framework dispatch and orchestration overhead often dominate runtime. Prior simulators accelerate execution but leave open the question of when compile-once specialization is the right choice for static variational circuits. We answer this question with VQCSim, a compile-once, PyTorch-native statevector execution path with native autograd. In a systematic MQT Bench study, VQCSim compiles all tested static circuits and provides 87.7% end-to-end semantic validation. Across a five-GPU evaluation set, VQCSim delivers pooled median spee...
| Authors | Anton Firc, Martin Perešíni, Vojtěch Mrázek et al. |
|---|---|
| Primary category | quant-ph |
| Published | 13 July 2026 |
| Last updated at source | 15 July 2026 |
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