Miniqbt, a runtime for the IBM Quantum experience

Introduction

IBM research released a quantum computer accessable in the cloud. MiniQbt is a emulator for the IBM quantum experience, with a generic amount of qubits and classical bits. To contribute to MiniQbt please refer to contributing

installation

The best way of installation is to compile the program from source. For this you need to install the following dependencies. Please consult the individual tools for help.

1. Eigen3 (Compile from source at the website since some linux distros only have an old version in the repositories)
2. CMake
3. Git
4. Please use for Windows, Visual studio 2015 or later.

For the Python wrapper your need:

1. Python development libraries
2. Boost-Python

For the Java wrapper you need:

1. Java 8

When done create a new build folder and let Cmake unpack everything there. MiniQbt comes with the following options:

Building in GNU/Linux

# Clone the project.
git clone [email protected]:valvy/miniqubit.git
cd miniqubit
# Create a build directory.
mkdir build
cd build
# Build with only unit tests.
cmake .. -DENABLE_EMSCRIPTEN=OFF -DENABLE_TESTS=ON -DENABLE_JAVA=OFF -DENABLE_PYTHON=OFF
make

Library usage

C++ Sample code

#include <miniqbt/MiniQbt.hpp>
#include <iostream>
#include <vector>

int main(int argc, char** argv){
    using namespace MiniQbt;
    const char* src = 
    "OPENQASM 2.0;              \n"
    "include \"qelib1.inc\";    \n"
    "qreg q[1]; creg c[1];      \n"
    "h q[0];                    \n"
    "measure q[0] -> c[0];      \n";

    QasmAsyncInterpreter interpreter;
    interpreter.interpret(std::string(src));
    while(interpreter.hasErrors()){
        std::cout << interpreter.getError() << "\n";
    }

    QuantumResult result = interpreter.readClassicResult("c");


    std::cout << "result of the algorithm: " << result.dataToString();

    std::cout << "\n";
}

Python Sample code

from PyMiniQbt import QasmAsyncInterpreter

source = "OPENQASM 2.0; include \"qelib1.inc\";  qreg q[1]; creg c[1]; h q[0]; measure q[0] -> c[0];"
interpreter = QasmAsyncInterpreter()
interpreter.interpret(source)
result = interpreter.readClassicResult("c")
while interpreter.hasErrors():
    print(interpreter.getError())
print("result of the algorithm: ")
print(result.dataToString())

JavaScript sample code

"use strict";
const miniqbt = require('./MiniQbt')
// Make sure MiniQbt is properly loaded.
setTimeout(() => {
    console.log("Using : " + miniqbt.NAME + " version "+ miniqbt.VERSION)
    let vm = new miniqbt.QasmAsyncInterpreter()
    vm.interpret("creg cregister[5]; qreg qregister[5];")
    vm.interpret("h qregister;")
    vm.interpret("measure qregister -> cregister;")
    const result = vm.readClassicResult('cregister')
    console.log(result.getName() + " resulted in " + result.dataToString() )

},1000)

Java Sample code

import nl.hvanderheijden.miniqbt.Globals;
import nl.hvanderheijden.miniqbt.QasmAsyncInterpreter;

public class Main {
    public static void main(String[] args) {
        System.out.println(
                String.format("%s version %s",
                        Globals.getName(),
                        Globals.getVersion()
                )
        );
        QasmAsyncInterpreter interpreter = new QasmAsyncInterpreter();
        interpreter.interpret("qreg a[5];");
        interpreter.interpret("creg b[5];");
        interpreter.interpret("h a;");
        interpreter.interpret("measure a -> b;");
        while(interpreter.hasErrors()) {
            System.out.println(interpreter.getError());
        }
        for (String i : interpreter.getRegisters()) {
            QuantumResult result = interpreter.readClassicResult(i);
            System.out.println(result.dataToString());
        }
    }
}