strangeworks-optimization 0.2.44

This SDK extends the Strangeworks SDK to provide access to the Strangeworks Optimization API.

Strangeworks Optimization

The Strangeworks Optimization SDK provides an abstraction layer for solving optimization problems using classical, quantum-inspired, and quantum solvers. It enables you to seamlessly switch between different optimization backends while maintaining a consistent interface.

Features

• Unified API for multiple optimization solvers (quantum, quantum-inspired, and classical)
• Support for multiple problem formats including QUBO, MPS, LP, and more
• Solver-agnostic interface that allows easy switching between providers
• Job management with status tracking and result retrieval

Installation

pip install strangeworks-optimization

Quick Start

import strangeworks as sw
from dimod import BinaryQuadraticModel
from strangeworks_optimization import StrangeworksOptimizer

# Authenticate with your API key
sw.authenticate("your-api-key")

# Create a QUBO model
linear = {1: -2, 2: -2, 3: -3, 4: -3, 5: -2}
quadratic = {(1, 2): 2, (1, 3): 2, (2, 4): 2, (3, 4): 2, (3, 5): 2, (4, 5): 2}
model = BinaryQuadraticModel(linear, quadratic, "BINARY")

# Create and run the optimizer with Quantagonia
optimizer = StrangeworksOptimizer(model=model, solver="quantagonia.qubo")
job = optimizer.run()

# Get results
results = optimizer.results(job.slug)
print(results.solution)

Documentation

Comprehensive documentation is available at docs.strangeworks.com/optimization.

The documentation includes:

• Getting started guides
• API reference
• Supported solvers and providers
• Problem format specifications
• Examples and tutorials

Supported Solvers

The SDK supports a wide range of optimization solvers including:

• Classical solvers: Gurobi, Quantagonia
• Quantum annealers: D-Wave Leap, D-Wave Sampler
• Quantum-inspired: Hitachi, NEC, Toshiba
• Hybrid solvers: D-Wave Hybrid, Strangeworks Hybrid

For a complete list and solver-specific configuration options, see the documentation.

Requirements

• Python 3.11 or higher
• A Strangeworks account and API key (Get started)

License

This project is licensed under the Apache License 2.0.

Support

For support, questions, or feature requests, please visit:

• Documentation
• Strangeworks Portal