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2.20.0  Oct 21, 2021 

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2.19.1  Jun 23, 2021 
2.16.3  Mar 30, 2021 
2.10.1  Nov 27, 2020 
#852 in Algorithms
335KB
8K
SLoC
IsingMonteCarlo

(Mostly incomplete) docs: https://docs.rs/qmc/

Python binding: https://github.com/Renmusxd/PyIsingMonteCarlo

WASM binding: https://github.com/Renmusxd/WASMIsingMonteCarlo
lib.rs
:
qmc
is a library for simulating classical and quantum ising systems on a lattice
using monte carlo methods.
The sse library contains builtin classes to handle ising models, as well as classes which handle arbitrary interactions.
It also offers a few feature gated modules:
 parallel tempering system using the
tempering
orparalleltempering
feature gates.  autocorrelation calculations on variables, bonds, or arbitrary values: use
autocorrelations
 graph serialization using serde with the
serialize
feature.
Basic Quantum Ising Example
use qmc::sse::*;
use rand::prelude::*;
// H = J_ij s_i s_j
let edges = vec![
((0, 1), 1.0), // ((i, j), J)
((1, 2), 1.0),
((2, 3), 1.0),
((3, 0), 1.0)
];
let transverse = 1.0;
let longitudinal = 0.0;
let beta = 1.0;
// Make an ising model using default system prng.
let rng = rand::thread_rng();
let mut g = DefaultQmcIsingGraph::<ThreadRng>::new_with_rng(edges, transverse, longitudinal, 3, rng, None);
// Take timesteps
g.timesteps(1000, beta);
// Take timesteps and sample states (as Vec<Vec<bool>>).
let (state, average_energy) = g.timesteps_sample(1000, beta, None);
Dependencies
~0.3–1.6MB
~31K SLoC