q1tsim

A simple, efficient, quantum computer simulator.

Overview

q1tsim is a simulator library for a quantum computer, written in Rust. Its goal is to be an easy to use, efficient simulator for the development and testing of quantum algorithms.

Features

• Easy implementation and simulation of quantum circuits
• Supports the creation of arbitrary quantum gates
• Most common quantum gates already included
• Measurement in X, Y, or Z basis
• Possibility of measurement without affecting the quantum state
• Creation of histograms of measurement results over multiple runs
• Operations conditional on classical values
• Export of circuits to Open QASM and c-QASM for running your programs on other computers or simulators
• Export of circuits to LaTeX, for drawing pictures of your circuit
• Efficient simulation of stabilizer circuits

Usage

To use q1tsim in your Rust application, add the following to your Cargo.toml file:

[dependencies]
q1tsim = "0.4"

As an example, here is a 3-qubit quantum Fourier transform of the |000⟩ quantum state:

extern crate q1tsim;

use q1tsim::{circuit, gates};

fn main()
{
    // The number of times this circuit is evaluated
    let nr_runs = 8192;

    // Create a quantum circuit with 3 quantum bits and 3 classical (measurement)
    // bits. The circuit starts by default with all quantum bits in the |0⟩ state,
    // so in this case |000⟩.
    let mut circuit = circuit::Circuit::new(3, 3);

    // Set up a 3-qubit quantum Fourier transform
    // There is no predefined method on Circuit that implements a controlled
    // `S` or `T` gate, so we use the `add_gate()` method for those.
    circuit.h(2);
    circuit.add_gate(gates::CS::new(), &[1, 2]);
    circuit.add_gate(gates::CT::new(), &[0, 2]);
    circuit.h(1);
    circuit.add_gate(gates::CS::new(), &[0, 1]);
    circuit.h(0);
    circuit.add_gate(gates::Swap::new(), &[0, 2]);

    // Measure all quantum bits in the Pauli `Z` basis
    circuit.measure_all(&[0, 1, 2]);

    // Actually calculate the resulting quantum state and perform the measurements,
    // averaging over `nr_runs` runs.
    circuit.execute(nr_runs);

    // And print the results.
    let hist = circuit.histogram_string().unwrap();
    for (bits, count) in hist
    {
        println!("{}: {}", bits, count);
    }
}

The result should be a more or less equal distribution over the eight possible states (000, 001, ..., 111).

Read the complete API documentation on docs.rs.