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/

Metadata

Release files for pyqbpp 2026.10.6

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 2026.10.6
File Interpreter ABI Platform
pyqbpp-2026.10.6-py3-none-manylinux_2_31_x86_64.whl Python 3 none Linux glibc 2.31+ x86-64 Details
pyqbpp-2026.10.6-py3-none-manylinux_2_31_aarch64.whl Python 3 none Linux glibc 2.31+ ARM64 Details

Total release size: 398.8 MB

Release files / pyqbpp-2026.10.6-py3-none-manylinux_2_31_x86_64.whl

Download URL pyqbpp-2026.10.6-py3-none-manylinux_2_31_x86_64.whl
Size 202.4 MB
Tags Linux glibc 2.31+ x86-64 Python 3
SHA-256 checksum
How to use checksums
a55bc424acdb07159718d343eb0d6d86da524ceafc8bd75acc188c6ccec657f2
BLAKE2b-256 checksum
How to use checksums
7abe35fe6282527afdee1f4d48397ad93d3ba319741128a97de8514bb4c086b7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / pyqbpp-2026.10.6-py3-none-manylinux_2_31_aarch64.whl

Download URL pyqbpp-2026.10.6-py3-none-manylinux_2_31_aarch64.whl
Size 196.5 MB
Tags Linux glibc 2.31+ ARM64 Python 3
SHA-256 checksum
How to use checksums
9763e1b3577c95cc70aba59ceeae5fec11de3f15ce29d90ce39a2c0c0633383f
BLAKE2b-256 checksum
How to use checksums
587c748a466a3a5226d91fa9f05808fa7bfa6fc0efe0ca48c89386d554cec768
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

2026.10.6 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