TorchQuantumDistributed
arXiv:2511.19291
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.
12 pages, 4 figures, to appear in the AI for Science Workshop at NeurIPS 2025