Juan Felipe Carrasquilla Alvarez

POVM_GENMODEL. Reconstructing quantum states with generative models

QuantumMachineLearning. Fully connected neural nets for supervised learning DQMC data

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

XYZ_plaquette_deco_SSE. Kagome lattice XYZ model SSE program

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

corner_transfer_renormalization_group. MATLAB

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

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

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

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

2d_ising_data. Python

POVM_UNITARY. Unitary circuits with POVMs and RNNs

2d_ising_model_square_triangular. Samples the partition function Ising model using single spin flips. Use with care at low temperatures

tinyvqe. tiny vqe for the heisenberg model using pennylane

transformer_unitary. Python

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

silly_2d_ising_julia. A silly Monte Carlo implementation of the 2d Ising model in Julia