tket-compiler
Cambridge Quantum (Quantinuum) t|ket> compiler skill for platform-independent circuit optimization
Best use case
tket-compiler is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Cambridge Quantum (Quantinuum) t|ket> compiler skill for platform-independent circuit optimization
Teams using tket-compiler should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/tket-compiler/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How tket-compiler Compares
| Feature / Agent | tket-compiler | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Cambridge Quantum (Quantinuum) t|ket> compiler skill for platform-independent circuit optimization
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# TKET Compiler ## Purpose Provides expert guidance on platform-independent quantum circuit compilation using t|ket>, enabling optimized deployment across multiple hardware backends. ## Capabilities - Multi-platform compilation - Phase gadget optimization - Clifford simplification - Routing and placement algorithms - Noise-aware compilation - Circuit rewriting strategies - Predicate-based pass selection - Backend targeting ## Usage Guidelines 1. **Pass Selection**: Choose compilation passes based on circuit characteristics 2. **Backend Targeting**: Configure compilation for specific hardware architectures 3. **Optimization Strategy**: Balance compilation time with output quality 4. **Noise Awareness**: Incorporate calibration data for noise-aware routing 5. **Verification**: Validate compiled circuits meet backend constraints ## Tools/Libraries - pytket - pytket-qiskit - pytket-cirq - pytket-braket - pytket-quantinuum
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