https://github.com/tensorly/quantum
Tensor-Based Quantum Machine Learning
https://github.com/tensorly/quantum
quantum quantum-circuit-simulator quantum-computing quantum-machine-learning tensor-networks tensorly tensorly-quantum
Last synced: 5 months ago
JSON representation
Tensor-Based Quantum Machine Learning
- Host: GitHub
- URL: https://github.com/tensorly/quantum
- Owner: tensorly
- License: bsd-3-clause
- Created: 2021-06-24T21:24:33.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-06-07T18:10:06.000Z (over 2 years ago)
- Last Synced: 2025-03-30T21:51:12.349Z (6 months ago)
- Topics: quantum, quantum-circuit-simulator, quantum-computing, quantum-machine-learning, tensor-networks, tensorly, tensorly-quantum
- Language: Python
- Homepage: http://tensorly.org/quantum/dev/
- Size: 2.55 MB
- Stars: 121
- Watchers: 5
- Forks: 16
- Open Issues: 2
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
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README
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================
TensorLy_Quantum
================
TensorLy-Quantum is a Python library for Tensor-Based Quantum Machine Learning that
builds on top of `TensorLy `_
and `PyTorch `_.
- **Website:** http://tensorly.org/quantum/
- **Source-code:** https://github.com/tensorly/quantum
- **If TensorLy-Quantum is useful in your research, please cite us at:** https://arxiv.org/abs/2112.10239
With TensorLy-Quantum, you can easily:
- **Create large quantum circuit**: Tensor network formalism requires up to exponentially less memory for quantum simulation than traditional vector and matrix approaches.
- **Leverage tensor methods**: the state vectors are efficiently represented in factorized form as Tensor-Rings (MPS) and the operators as TT-Matrices (MPO)
- **Efficient simulation**: tensorly-quantum leverages the factorized structure to efficiently perform quantum simulation without ever forming the full, dense operators and state-vectors
- **Multi-Basis Encoding**: we provide multi-basis encoding out-of-the-box for scalable experimentation
- **Solve hard problems**: we provide all the tools to solve the MaxCut problem for an unprecendented number of qubits / vertices
Installing TensorLy-Quantum
============================
Through pip
-----------
.. code::
pip install tensorly-quantum
From source
-----------
.. code::
git clone https://github.com/tensorly/quantum
cd quantum
pip install -e .