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 2026.7.29

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 2026.7.29
File Interpreter ABI Platform
pyqbpp-2026.7.29-py3-none-manylinux_2_31_x86_64.whl Python 3 none Linux glibc 2.31+ x86-64 Details
pyqbpp-2026.7.29-py3-none-manylinux_2_31_aarch64.whl Python 3 none Linux glibc 2.31+ ARM64 Details

Total release size: 181.5 MB

Release files / pyqbpp-2026.7.29-py3-none-manylinux_2_31_x86_64.whl

Download URL pyqbpp-2026.7.29-py3-none-manylinux_2_31_x86_64.whl
Size 93.0 MB
Tags Linux glibc 2.31+ x86-64 Python 3
SHA-256 checksum
How to use checksums
d55ca93b0d0aae7fd6c5cdf3b7a2898617efa3b860372d588fe1486e3044e7d7
BLAKE2b-256 checksum
How to use checksums
02d69d179e41b5edfff5b1755f273484183a21f38800cb46939d7370e9434424
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / pyqbpp-2026.7.29-py3-none-manylinux_2_31_aarch64.whl

Download URL pyqbpp-2026.7.29-py3-none-manylinux_2_31_aarch64.whl
Size 88.4 MB
Tags Linux glibc 2.31+ ARM64 Python 3
SHA-256 checksum
How to use checksums
74be72eac66d987278657f64e5521d49f01cef9df2abeebbd74f54a86051cb14
BLAKE2b-256 checksum
How to use checksums
099186b0322b3b7d149df981d7db3be09112d6a45a4e0e037051d98311d6acf2
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

2026.7.29 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