A quantun computing development environment in Python

Comprises of two parts - qusimulator (package qsim) the quantum simulator, and qucircuit (packages qckt, qckt.gatesutils, and qckt.backend) the library to implement quantum computing programs using quantum circuits paradigm. qucircuit uses qusimulator as a backed engine to run quantum circuits.

INSTALLATION

qusimulator and qucircuit are on PyPi now. So, you can simply install them using pip.

pip install qusimulator
pip install qucircuit

Since qucircuit has qusimulator as a dependency, so installing qucircuit will also install qusimulator.

FEATURES

All common gates available as pre-defined. Allows user-defined gates. Allows adding control qubits to any gates. A number of utility functions to manipulate gates - combine sequentially applied or parallelly applied gates, check for unitarity, inverse.

Full featured support for quantum noise simulation. Leverages a new density-matrix based simulation engine.

Easy to follow documentation with tutorial introduction - see qusimumator/README.md and qucircuit/README.md. A bunch of examples under examples/qsim and examples/qckt. Code for regression tests also serves as examples to quickly learn qsim and qckt packages (see folder tests/).

Getting started tutorials - examples/qckt/Getting-started-tutorial.ipynb, examples/qckt/Getting-started-tutorial-noise-sim.ipynb

Growing list of known quantum algorithm implementations included as examples.

CLI tool

An interactive commandline interface (qsimcli) to quickly check out sequence of quantum operations.