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TorchQuantumDistributed

arXiv 2511.19291 ↗First posted 24 Nov 2025quant-ph cs.CE cs.LGcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 26 references that are in the map. First posted on arXiv 24 Nov 2025.

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References · 9

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  2. 2014Caffe: Convolutional Architecture for Fast Feature Embeddingcited by 288
  3. 2020TensorFlow Quantum: A Software Framework for Quantum Machine Learningcited by 72
  4. 2015Signal Processing on Graphs: Causal Modeling of Unstructured Datacited by 27
  5. 2023cuQuantum SDK: A High-Performance Library for Accelerating Quantum Sciencecited by 19
  6. 2024Hybrid quantum programming with PennyLane Lightning on HPC platformscited by 9
  7. 2018Q#: Enabling scalable quantum computing and development with a high-level domain-specific languagecited by 7
  8. 2016ProjectQ: An Open Source Software Framework for Quantum Computingcited by 6
  9. 2024Retentive Neural Quantum States: Efficient Ans"atze for Ab Initio Quantum Chemistrycited by 4

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