TorchQuantumDistributed
Oliver Knitter, Jonathan Mei, Masako Yamada, Martin Roetteler
TL;DR
TorchQuantumDistributed (TQD) is a scalable, PyTorch-based library that facilitates differentiable quantum state vector simulation across various hardware accelerators, enabling advanced quantum circuit research with high qubit counts.
Contribution
It introduces a new, scalable library for accelerator-agnostic differentiable quantum simulation integrated with PyTorch.
Findings
Supports high qubit count quantum circuit simulation
Enables study of parameterized quantum circuits at scale
Provides differentiable simulation for quantum machine learning
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.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum many-body systems · Quantum-Dot Cellular Automata