carrasqu/QuantumMachineLearning

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Python
Created over 8 years ago
Updated over 8 years ago

carrasqu/QuantumMachineLearning

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Fully connected neural nets for supervised learning DQMC data

POVM_GENMODEL

Reconstructing quantum states with generative models

IsingGaugeTensorFlow

Convolutional neural net to classify states of the classical Ising gauge theory (TensorFlow)

TensorFlow_Ising

A tensorflow implementation of a simple neural net to classify ising states

data_nature_phy_paper

Training and testing data for the article "Machine learning phases of matter" doi:10.1038/nphys4035

XYZ_plaquette_deco_SSE

Kagome lattice XYZ model SSE program

corner_transfer_renormalization_group

JAX_GRU

A GRU written in JAX

itebd

infinte time evolving block decimation for the transverse field Ising model. Partially based on http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.98.070201

Ising_square_Ice

samples the partition function of a square ice ising model H=J\sum_v Q_v, where Q_v=\sum_{i \in v} \sigma^{z}_i using single spin flips and short-loop updates

2d_ising_model_square_triangular

Samples the partition function Ising model using single spin flips. Use with care at low temperatures

binncode

Mini MNIST binary neural network classifier trained by full enumeration and variational quantum algorithm

Jupyter Notebook

POVM_UNITARY

Unitary circuits with POVMs and RNNs

2d_ising_data

silly_2d_ising_julia

A silly Monte Carlo implementation of the 2d Ising model in Julia

transformer_unitary

tinyvqe

tiny vqe for the heisenberg model using pennylane

unsupervised_learning_ground_states

This code adjusts the weights of a given neural net in order to minimize the energy of the toric code