CF Plugin Quantum Optimizer

CF Plugin Quantum Optimizer

Quantum-inspired optimization plugin providing simulated annealing, QAOA circuits, Grover-style search, dependency resolution, and schedule optimization for combinatorial problems in multi-agent workflows.

Quick Command Reference

Installation

Via claude-flow: Already included with npx @claude-flow/cli@latest init Standalone: npx @claude-flow/plugin-quantum-optimizer@latest

Activation

# Enable the plugin
npx @claude-flow/cli@latest plugins toggle --enable quantum-optimizer

# Verify activation
npx @claude-flow/cli@latest plugins info quantum-optimizer

Plugin Capabilities

Simulated Annealing

Classical optimization via probabilistic search with temperature scheduling. Effective for task assignment, resource allocation, and configuration tuning.

npx @claude-flow/cli@latest mcp exec quantum-optimizer.anneal \
  --problem task-assignment.json --temperature 1.0 --cooling-rate 0.95

QAOA (Quantum Approximate Optimization)

Variational quantum-inspired algorithm for combinatorial optimization. Approximates solutions to NP-hard problems like graph partitioning and max-cut.

npx @claude-flow/cli@latest mcp exec quantum-optimizer.qaoa \
  --problem graph-partition.json --layers 3 --iterations 100

Grover Search

Quadratic speedup search over unstructured solution spaces. Useful for constraint satisfaction and feasibility checking.

npx @claude-flow/cli@latest mcp exec quantum-optimizer.grover \
  --oracle constraints.json --search-space 1024

Dependency Resolution

Resolves complex dependency graphs with circular dependency detection, topological sorting, and optimal execution ordering.

npx @claude-flow/cli@latest mcp exec quantum-optimizer.resolve-deps \
  --graph dependencies.json --strategy optimal

Schedule Optimization

Produces optimal or near-optimal schedules for task execution across multiple agents with resource and precedence constraints.

npx @claude-flow/cli@latest mcp exec quantum-optimizer.schedule \
  --tasks tasks.json --agents 8 --optimize makespan

Common Patterns

Optimize Swarm Task Assignment

npx @claude-flow/cli@latest plugins toggle --enable quantum-optimizer
npx @claude-flow/cli@latest mcp exec quantum-optimizer.anneal \
  --problem '{"tasks": 20, "agents": 8, "objective": "minimize-latency"}'

Resolve Build Dependencies

npx @claude-flow/cli@latest mcp exec quantum-optimizer.resolve-deps \
  --graph package-graph.json --detect-circular --strategy parallel

Schedule CI Pipeline

npx @claude-flow/cli@latest mcp exec quantum-optimizer.schedule \
  --tasks ci-stages.json --agents 4 --optimize makespan --constraints resource-limits.json

RAN DDD Context

Bounded Context: RANO Optimization

References

• Command reference: See references/commands.md
• Full README
• npm