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Quantum simulation with tensor trains (Physics Directed Reading Program Spring '21)

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PDRP 2021 - QuSP

Quantum Simulation Playground

Build Status

Overview

This is a sanbox for the physics directed reading program during Spring '21. The focus of this code is on quantum simulation with matrix product states. A final report is available under report/MPS.pdf.

Check out the examples folder for some neat showcase notebooks!

Features

  • An implementation of matrix product states, supporting
    • constructing one from any initial tensor and specified bond dimension
    • contraction back to a tensor of high (tensor-)rank
    • time evolving block decimation
  • Several example notebooks, including
    • Image compression via MPS
    • TEBD for 1D transverse field Ising model

Sources

  1. Efficient classical simulation of slightly entangled quantum computations
  2. TensorNetwork for Machine Learning
  3. Towards Quantum Machine Learning with Tensor Networks

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Quantum simulation with tensor trains (Physics Directed Reading Program Spring '21)

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