carrasqu/itebd carrasqu/itebd

  • Stars
    star
    2
  • Language
    MATLAB
  • Created over 8 years ago
  • Updated over 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
carrasqu/itebd
github

carrasqu

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

More Repositories

1

POVM_GENMODEL

Reconstructing quantum states with generative models
Python
46
star
2

QuantumMachineLearning

Fully connected neural nets for supervised learning DQMC data
Python
11
star
3

IsingGaugeTensorFlow

Convolutional neural net to classify states of the classical Ising gauge theory (TensorFlow)
Python
10
star
4

TensorFlow_Ising

A tensorflow implementation of a simple neural net to classify ising states
Python
8
star
5

data_nature_phy_paper

Training and testing data for the article "Machine learning phases of matter" doi:10.1038/nphys4035
7
star
6

XYZ_plaquette_deco_SSE

Kagome lattice XYZ model SSE program
Fortran
5
star
7

corner_transfer_renormalization_group

MATLAB
4
star
8

JAX_GRU

A GRU written in JAX
Python
3
star
9

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
Fortran
1
star
10

2d_ising_model_square_triangular

Samples the partition function Ising model using single spin flips. Use with care at low temperatures
C
1
star
11

binncode

Mini MNIST binary neural network classifier trained by full enumeration and variational quantum algorithm
Jupyter Notebook
1
star
12

POVM_UNITARY

Unitary circuits with POVMs and RNNs
Python
1
star
13

2d_ising_data

Python
1
star
14

silly_2d_ising_julia

A silly Monte Carlo implementation of the 2d Ising model in Julia
Julia
1
star
15

transformer_unitary

Python
1
star
16

tinyvqe

tiny vqe for the heisenberg model using pennylane
Python
1
star
17

unsupervised_learning_ground_states

This code adjusts the weights of a given neural net in order to minimize the energy of the toric code
Python
1
star