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Babysitter circuit-optimizer

Quantum circuit optimization skill for gate reduction, depth minimization, and hardware-aware compilation

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/quantum-computing/skills/circuit-optimizer" ~/.claude/skills/a5c-ai-babysitter-circuit-optimizer && rm -rf "$T"
manifest: library/specializations/domains/science/quantum-computing/skills/circuit-optimizer/SKILL.md
tags
#quantum-optimization#circuit-design#gate-reduction#hardware-compilation#qiskit#pytket
source content

Circuit Optimizer

Purpose

Provides expert guidance on quantum circuit optimization techniques for reducing gate count, minimizing depth, and adapting circuits to hardware constraints.

Capabilities

  • Circuit depth reduction algorithms
  • Gate cancellation and merging
  • Peephole optimization
  • Template matching optimization
  • Commutation analysis
  • Hardware topology-aware routing
  • Two-qubit gate minimization
  • Compilation pass orchestration

Usage Guidelines

  1. Analysis: Profile circuit for optimization opportunities (gate counts, depth, connectivity)
  2. Gate Reduction: Apply cancellation and merging rules for equivalent gates
  3. Depth Optimization: Parallelize independent operations where topology allows
  4. Hardware Mapping: Route circuits to respect hardware connectivity constraints
  5. Verification: Validate circuit equivalence after optimization

Tools/Libraries

  • Qiskit transpiler
  • pytket (t|ket>)
  • PyZX
  • Cirq optimizers
  • BQSKit