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 2026.8.16

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 2026.8.16
File Interpreter ABI Platform
pyqbpp-2026.8.16-py3-none-manylinux_2_31_x86_64.whl Python 3 none Linux glibc 2.31+ x86-64 Details
pyqbpp-2026.8.16-py3-none-manylinux_2_31_aarch64.whl Python 3 none Linux glibc 2.31+ ARM64 Details

Total release size: 195.2 MB

Release files / pyqbpp-2026.8.16-py3-none-manylinux_2_31_x86_64.whl

Download URL pyqbpp-2026.8.16-py3-none-manylinux_2_31_x86_64.whl
Size 100.0 MB
Tags Linux glibc 2.31+ x86-64 Python 3
SHA-256 checksum
How to use checksums
26f89b7a51673bd174b46e5bd182e0242bb41c115f4f26435489d9a98691aa0c
BLAKE2b-256 checksum
How to use checksums
5a5da53ce8056618112fcb6b19b0d427341e85cbbeb3e6be72c8f72313845479
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / pyqbpp-2026.8.16-py3-none-manylinux_2_31_aarch64.whl

Download URL pyqbpp-2026.8.16-py3-none-manylinux_2_31_aarch64.whl
Size 95.2 MB
Tags Linux glibc 2.31+ ARM64 Python 3
SHA-256 checksum
How to use checksums
69f101dd42a96a2bce05fa36f7ad2ad91dd4b56d02bd0f29980540233232a75e
BLAKE2b-256 checksum
How to use checksums
77283e06c94ae48b90588bd522e9d1cd22625b357a4cb97d20a5da3b831a8e2f
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

2026.8.16 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