Results for “cavity-qed”

16 skills

Simulates open quantum systems with QuTiP, the Quantum Toolbox in Python, solving Lindblad master equations (mesolve), Monte Carlo trajectories (mcsolve), and unitary dynamics (sesolve). Use when studying master-equation or Lindblad dynamics, decoherence, dissipation, quantum optics, cavity QED, or open-system time evolution. NOT for circuit-based quantum computing or hardware execution — for IBM Quantum circuits prefer alterlab-qiskit, for Google Quantum AI or NISQ circuits prefer alterlab-cirq, and for gradient-trained quantum ML prefer alterlab-pennylane. Part of the AlterLab Academic Skills suite.

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Audits code quality against a shared contract, producing structured findings and blocking pipeline phases on critical issues without modifying code.

Provides a structured workflow for unit, integration, E2E, and performance testing, including browser automation, code review, and quality gates.

Runs an interactive QA session, clarifying user-reported problems, exploring the codebase for context, and filing durable, user-focused GitHub issues.

Qdrant Minimize Latency

Guides optimization of Qdrant query latency by tuning segments, memory, quantization, and search parameters.

Retrieve a value by key from the Custodian KV store

Runs a QA validation cycle followed by bugfix until all criteria pass clean, with automated verification and re-validation.

Runs a comprehensive QA audit on Unity, Unreal, Godot, or web game projects, covering null references, missing assets, scene transitions, physics, input, save/load, localization, audio, and platform certification.

brycewang-stanford

Query and analyze SEC filings using EdgarTools

intelli-verse-x

Write unit tests, run QA checks, and validate game functionality in QuizVerse.

Systematically QA test a web application and fix bugs found. (gstack)

Delete a key from the Custodian KV store

Systematically QA test a web application and fix bugs found. (gstack)

Designer's eye QA: finds visual inconsistency, spacing issues, hierarchy problems, AI slop patterns, and slow interactions — then fixes them. (gstack)

Clade coverage-driven project review — walks every VERIFY.md checkpoint, fixes failures in-session, converges when all checkpoints pass. NOT the Claude Code built-in /review (which reviews a single pull request diff) — if the user wants a PR review, route to /review-pr (Clade's PR reviewer) or the CC built-in.