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:
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