Skip to main content

PyQBPP: Python Interface for QUBO++

PyQBPP is a Python wrapper for the QUBO++ library, allowing you to model and solve combinatorial optimization problems using QUBO/HUBO formulations directly from Python.

Features

  • Symbolic construction of QUBO/HUBO expressions in Python
  • Access to QUBO++ solvers (Easy Solver, Exhaustive Solver, ABS3)
  • Familiar Python syntax with the full power of the QUBO++ engine

Supported Environment

  • Linux (Ubuntu 20.04 or later)
  • x86_64 or arm64 (aarch64) CPUs
  • CUDA-enabled NVIDIA GPUs
  • Python 3.8 or later

Installation

PyQBPP is available on PyPI. We recommend using a Python virtual environment (venv) to install PyQBPP. No sudo privileges are required.

$ python3 -m venv ~/qbpp-env
$ source ~/qbpp-env/bin/activate
$ pip install pyqbpp

Without a license key, the number of binary variables is limited to 100.

To remove this limit, register from the User Portal to obtain a trial license key.

Once you have a license key, activate it as follows:

$ qbpp-license -k YOUR-LICENSE-KEY -a

Quick Example

The following program solves a simple QUBO problem by expanding and minimizing the expression f = (a + 2b + 3c - 4)^2.

import pyqbpp as qbpp

a = qbpp.var("a")
b = qbpp.var("b")
c = qbpp.var("c")
f = qbpp.sqr(a + 2 * b + 3 * c - 4)
f = qbpp.simplify_as_binary(f)
print("f =", f)

solver = qbpp.EasySolver(f)
sol = solver.search(time_limit=10, target_energy=0)
print("sol =", sol)

Output:

f = 16 -7*a -12*b -15*c +4*a*b +6*a*c +12*b*c
sol = Sol(energy=0, {a: 1, b: 0, c: 1})

Documentation

https://qubo-plus.github.io/python/

Release files for pyqbpp 2026.7.22

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for pyqbpp 2026.7.22
File Interpreter ABI Platform
pyqbpp-2026.7.22-py3-none-manylinux_2_31_x86_64.whl Python 3 none Linux glibc 2.31+ x86-64 Details
pyqbpp-2026.7.22-py3-none-manylinux_2_31_aarch64.whl Python 3 none Linux glibc 2.31+ ARM64 Details

Total release size: 176.3 MB

Release files / pyqbpp-2026.7.22-py3-none-manylinux_2_31_x86_64.whl

Download URL pyqbpp-2026.7.22-py3-none-manylinux_2_31_x86_64.whl
Size 90.4 MB
Tags Linux glibc 2.31+ x86-64 Python 3
SHA-256 checksum
How to use checksums
a48291a457407156a61b468b50feeb309bf4a8ad118a37945853cbc785979040
BLAKE2b-256 checksum
How to use checksums
6501419f90834b809e3ac9b1e39b383917cbbe84eafce46e3e55e375addd3970
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / pyqbpp-2026.7.22-py3-none-manylinux_2_31_aarch64.whl

Download URL pyqbpp-2026.7.22-py3-none-manylinux_2_31_aarch64.whl
Size 85.9 MB
Tags Linux glibc 2.31+ ARM64 Python 3
SHA-256 checksum
How to use checksums
34a5e0f8e815bd0e72bbeca398de42bd60f872bd381e568db79c835d31615a6d
BLAKE2b-256 checksum
How to use checksums
76b29b81560403698b58977043bdcd87297dadb32cf1b42be8ae05df7b002c35
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release history Release notifications | RSS feed

This release

2026.7.22 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page