TorchQuantumDistributed

Oliver Knitter, Jonathan Mei, Masako Yamada, Martin Roetteler

Additional Submission Instructions: For the camera-ready version, please include the author names and affiliations, funding disclosures, and acknowledgements.

Track: Track 1: Original Research/Position/Education/Attention Track

Keywords: quantum, framework, pytorch, hardware, accelerator, sdk

TL;DR: We introduce TorchQuantumDistributed, a scalable differentiable quantum state vector simulator.

Abstract: TorchQuantumDistributed (tqd) is a PyTorch-based [Paszke, 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.

Submission Number: 257