/quantum

Tensor-Based Quantum Machine Learning

Primary LanguagePythonBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

https://codecov.io/gh/tensorly/quantum/branch/main/graph/badge.svg?token=5P8GZ8YLO7

TensorLy_Quantum

TensorLy-Quantum is a Python library for Tensor-Based Quantum Machine Learning that builds on top of TensorLy and PyTorch.

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

pip install tensorly-quantum

From source

git clone https://github.com/tensorly/quantum
cd quantum
pip install -e .