Install

pip install torchquantum

Adoption

Adoption
Not published by PyPI
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Popularity
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Dependents
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Maintenance
0.13
DerivedRelease cadence and recency, 0 to 1
Releases per year
3.1
9 versions over its life

Growth by period

PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.

7 days
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30 days
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90 days
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1 year
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Adoption history

Adoption history

PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.

Facts from the registry

Latest version
v0.1.8
9 versions
First published
MAR 15, 2021
Last release
FEB 21, 2024
3y ago
Licence
MIT

Repository

In the Crest catalog

mit-han-lab/torchquantum

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Stars
1.7K
Forks
266
Language
Jupyter Notebook
Last push
4mo ago
Last release
3y ago

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v0.1.8

Runtime 19

  • dill==0.3.4
  • matplotlib>=3.3.2
  • nbsphinxAny version
  • numpy>=1.19.2
  • opt-einsumAny version
  • pathos>=0.2.7
  • pylatexenc>=2.10
  • pyscf>=2.0.1
  • qiskit<1.0.0,>=0.39.0
  • recommonmarkAny version
  • scipy>=1.5.2
  • setuptools>=52.0.0
  • tensorflow>=2.4.1
  • torch>=1.8.0
  • torchdiffeq>=0.2.3
  • torchpack>=0.3.0
  • torchquantum>=0.1
  • torchvision>=0.9.0.dev20210130
  • tqdm>=4.56.0

Related news

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