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Quantum Circuits

quantum

This repository simulates quantum circuits, compiles circuits written in Python into OpenQASM, and visualizes the resulting tensor product. This repo can be used to understand the basics of quantum operations.

The implementation is based off of Qiskit and the OpenQASM paper.

Installation

First, download this repository and then install the environment using either using Anaconda or Docker.

Using Conda

conda create --name quantum_circuits python=3.7
conda activate quantum_circuits
pip install requirements.txt

Using Docker

To build:

docker build -t quantum_circuits .

To run:

docker run -it quantum_circuits bash

Usage

For quick usage:

from circuit import Circuit

# build circuit
circ = Circuit(3,5)
circ.X(2)
circ.H()
circ.barrier()

# get the current state of the qubits
circ.get_state()

# execute the circuit 800 times
circ.execute(num_instances=800)

# compile the circuit to OpenQASM
circ.compile()

# perform measurement
circ.measure(0, 1)

More examples are located here.

Gates that are currently avaliable are:

  • H: Hadamard gate
  • ID, X, Y, Z: Pauli gates
  • RX, RY, RZ: Rotation gates across (x, y, or z)-axis of the Bloch Sphere
  • U3, U2, U1: Universal gates
  • S, SDG: S gate and its transpose
  • T, TDG: T gate and its transpose
  • CX: controlled not gate
  • CCX: Toffoli gate

Running Tests

To run all the test cases:

python tests.py

Caveats

  • Circuit gates are implemented niavely (i.e, the operation at a certain time step is created by taking the tensor product of all gates at that time step.) As a result, this implementation is not memory efficient for large numbers of qubits.
  • CX, CCX gates only work if the control and target qubits are next to each other.

Acknowledgements