# Qulacs
[![Build Status](https://travis-ci.org/qulacs/qulacs.svg?branch=master)](https://travis-ci.org/qulacs/qulacs)

Qulacs is a fast quantum circuit simulator for simulating large, noisy, or parametric quantum circuits.

Qulacs is licensed under the [MIT license](https://github.com/qulacs/qulacs/blob/master/LICENSE).

## Quick Install

```pip install qulacs```



## Performance
- Compared processing time with following Library on October 1st, 2018
    - Qulacs(ours)
    - [Cirq](https://github.com/quantumlib/Cirq)
    - [ProjectQ](https://github.com/ProjectQ-Framework/ProjectQ)
    - [pyQuil](https://github.com/rigetticomputing/pyquil)
    - [Q#](https://github.com/Microsoft/Quantum)
    - [Qiskit Terra QASM Simulator](https://github.com/Qiskit/qiskit-terra/tree/master/src/qasm-simulator-cpp)
    - [QuPy CPU & GPU](https://github.com/ken-nakanishi/qupy)

- Test environment:
    - 100 shot sampling of 10 layers of all random rotation X gate and 9 layers of all neighboring CNOT
    - Intel Core i7 CPU
    - Nvidia GTX 1050 Ti GPU
    - Open-MP enabled
    - MKL enabled (numpy runs in multi core)
    
![benchmark](http://www.qunasys.com/wp-content/uploads/2018/10/plot_2.png)

### Supported systems
Qulacs is tested on the following systems.

- Ubuntu 16.04
- MacOS X Sierra
- Windows 10

Python library is tested on python-2.7.15 and python-3.6.6.