Skip to content

pqblocks-qubo

Unified mathematical representation and converter library for Quadratic Unconstrained Binary Optimization (QUBO) and Ising formulations.

Install from GitHub Area Status Python Licence Source

At a glance
Area Quantum-inspired
Import import pqblocks_qubo
Command line library only
Version 0.1.0 (Alpha)
Python >=3.11
Native dependency none
Repository PQBlocks/qubo-core
Licence Apache-2.0

What is pqblocks-qubo?

Unified mathematical representation and converter library for Quadratic Unconstrained Binary Optimization (QUBO) and Ising formulations.

Domain Classification: Quantum-inspired classical optimisation: not cryptography, no security claim.

Not cryptography

Quantum-inspired classical optimisation: not cryptography, no security claim.

Install

pip install git+https://github.com/PQBlocks/qubo-core

uv add git+https://github.com/PQBlocks/qubo-core

PyPI release staged

pqblocks-qubo installs from its GitHub repository while the PyPI release is staged. The import name and API are identical either way.

Quickstart

Executed, not just written

This is the quickstart from the package README. It was run against the package source when this page was generated.

quickstart.py
import networkx as nx
from pqblocks_qubo import load_maxcut, to_qubo

# 1. Build a graph and construct native Ising model for MaxCut
G = nx.cycle_graph(4)
bqm_ising = load_maxcut(G)

# 2. Convert transparently to QUBO
bqm_qubo = to_qubo(bqm_ising)

# 3. Evaluate state energy (deterministic evaluation)
sample = {0: 0, 1: 1, 2: 0, 3: 1}
print(f"QUBO Energy: {bqm_qubo.energy(sample)}")

Examples

Runnable scripts in the repository:

Documentation and evidence

Every PQBlocks package ships the same evidence set, so each claim can be checked against tests, sources and measurements.

  • Overview

    What it does, install, usage and API.

  • For AI agents

    Correct imports, pitfalls and rules for coding assistants.

  • Security notes

    What it protects, hostile input, constant-time and audit status.

  • Testing

    Test suites, coverage, vectors and what is not covered.

  • Benchmarks

    Measured performance, including where it loses.

  • Evidence

    Primary sources and the method-to-code map.

  • Verification report

    Self-verification results, defects found and limits.

  • Use cases

    Worked scenarios and when to pick something else.

  • Changelog

    Every release and what changed.

  • pqblocks-anneal-sa: Simulated Annealing heuristic solver for Ising and QUBO optimization problems. Quantum-inspired classical…
  • pqblocks-anneal-schedule: Quantum-inspired instance-adaptive simulated annealing with statistics-driven schedule generation for Ising and QUBO…
  • pqblocks-anneal-sqa: Simulated Quantum Annealing (Path-Integral Monte Carlo via Suzuki-Trotter decomposition) heuristic solver for Ising…
  • pqblocks-bifurcation: Simulated Bifurcation (ballistic and discrete) heuristic solver for Ising and QUBO problems. Quantum-inspired…
  • pqblocks-digital-anneal: Digital Annealer-style parallel-trial heuristic solver for Ising and QUBO optimization problems. Quantum-inspired…
  • pqblocks-population-anneal: Population Annealing Monte Carlo heuristic solver for Ising models and QUBO combinatorial optimization.…
  • pqblocks-qiea: Quantum-Inspired Evolutionary Algorithm (QIEA) with Q-bit representations and quantum rotation gates for Ising and…
  • pqblocks-qubo-bench: Benchmarking harness and standard instance loaders for quantum-inspired optimization algorithms against classical…