ThreeQ is a Julia module that includes several macros which effectively extend the syntax of Julia to enable rapid prototyping of codes for D-Wave hardware. ThreeQ uses various tools from D-Wave's software suite (including the Python SAPI, qbsolv, and dw) as backends to access D-Wave hardware.

A number of examples are including that illustrate how to use ThreeQ. These examples include solving systems of linear equations, factoring integers, PDE-constrained optimization, and map coloring.

First, Julia must be installed. Julia binaries can be obtained here. In order to actually use the D-Wave, D-Wave hardware must be available and at least part of D-Wave's software stack must also be installed. D-Wave's qbsolv tool can be used without D-Wave hardware. Other components (the Python SAPI and dw) must be obtained from D-Wave, if needed.

Second, this repo must be cloned into a place where Julia can find it. You can tell Julia where to look for it by adding a line to your .juliarc.jl file like

push!(LOAD_PATH, "/dir/where/this/repo/is")

For instance, my .juliarc.jl file contains

push!(LOAD_PATH, "$(homedir())/codes")

and within ~/codes, there is a directory containing this repo called "ThreeQ.jl" or "ThreeQ".

ThreeQ is provided under a BSD-ish license with a "modifications must be indicated" clause. See LICENSE.md file for the full text.

This package is part of the Hybrid Quantum-Classical Computing suite, known internally as LA-CC-16-032.

Daniel O'Malley, [email protected]