TorchQuantumDistributed

Oliver Knitter; Jonathan Mei; Masako Yamada; Martin Roetteler

TorchQuantumDistributed

Quantum Physics 2025-11-25 v1 Computational Engineering, Finance, and Science Machine Learning

Authors: Oliver Knitter , Jonathan Mei , Masako Yamada , Martin Roetteler

Abstract

TorchQuantumDistributed (tqd) is a PyTorch-based [Paszke et al., 2019] library for accelerator-agnostic differentiable quantum state vector simulation at scale. This enables studying the behavior of learnable parameterized near-term and fault- tolerant quantum circuits with high qubit counts.

Cite

@article{arxiv.2511.19291,
  title  = {TorchQuantumDistributed},
  author = {Oliver Knitter and Jonathan Mei and Masako Yamada and Martin Roetteler},
  journal= {arXiv preprint arXiv:2511.19291},
  year   = {2025}
}

Comments

12 pages, 4 figures, to appear in the AI for Science Workshop at NeurIPS 2025

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