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simon
by unitarylab
"Use for implementing, explaining, running, or debugging Simon's algorithm in this repository, especially for oracle construction, measurement interpretation, GF(2) post-processing, simulator state extraction, and compatible reimplementation."
qdrift
by unitarylab
QDrift randomized Hamiltonian simulation, approximating e^{-iHt} by stochastically sampling Pauli-term evolutions with probability proportional to coefficient magnitude.
trotter
by unitarylab
Trotter-Suzuki product-formula Hamiltonian simulation, approximating e^{-iHt} via structured short-time exponential products with controllable order and step count.
hhl
by unitarylab
A quantum algorithm for solving linear systems of equations, providing exponential speedup over classical methods for certain types of problems. This skill includes efficient implementations and educational resources for understanding and utilizing quantum linear systems algorithms in various applications.
lcu
by unitarylab
A quantum algorithm for solving linear systems of equations using the Linear Combination of Unitaries (LCU) method, providing exponential speedup over classical methods for certain types of problems. This skill includes efficient implementations and educational resources for understanding and utilizing the LCU algorithm in various applications.
quantum-signal-processing
by unitarylab
A quantum algorithm for signal processing tasks, leveraging quantum phase estimation and amplitude amplification techniques to achieve efficient signal analysis and transformation. This skill includes implementations and educational resources for understanding and utilizing quantum signal processing algorithms in various applications.
amplitude-amplification
by unitarylab
A quantum algorithm that generalizes Grover's search algorithm, allowing for the amplification of the probability of desired outcomes in a quantum state. It is used to find marked items in an unsorted database with quadratic speedup compared to classical algorithms. This skill provides a comprehensive guide to understanding, implementing (using UnitaryLab's quantum simulator), and utilizing amplitude amplification in quantum computing applications.
amplitude-estimation
by unitarylab
A quantum algorithm for estimating the amplitude of a specific state in a quantum superposition, which can be used for various applications such as Monte Carlo simulations and optimization problems. Provides efficient implementations and educational resources for understanding and utilizing amplitude estimation in quantum algorithm development.
hadamard-test
by unitarylab
A quantum algorithm that uses the Hadamard test to estimate the expectation value of a unitary operator with respect to a given quantum state. This algorithm is fundamental in quantum computing and has applications in various quantum algorithms, including quantum phase estimation and variational quantum algorithms.
hadamard-transform
by unitarylab
A quantum algorithm for performing the Hadamard transform, which is a fundamental operation in quantum computing that creates superposition states. This skill includes efficient implementations and educational resources for understanding and utilizing the Hadamard transform in various quantum algorithms and applications.
heat-2d-schrodingerization
by unitarylab
A quantum-compatible solver for the 2D Heat Equation using Schrödingerization to transform the non-unitary diffusion equation into a unitary evolution problem. Supports anisotropic diffusion, Dirichlet and periodic boundary conditions, source terms, and both classical and Trotter-based quantum evolution with automatic 2D circuit generation and 3D temperature field visualization.
quantum-phase-estimation
by unitarylab
A quantum phase estimation algorithm that can estimate the eigenvalues of a unitary operator with high precision, which is a fundamental component in many quantum algorithms such as Shor's algorithm and quantum simulation.
qaoa
by unitarylab
Skill for understanding, using, and implementing the Quantum Approximate Optimization Algorithm (QAOA) for Max-Cut problems via the QAOAAlgorithm class.
qcbm
by unitarylab
Skill for understanding, using, and implementing the Quantum Circuit Born Machine (QCBM) for learning discrete probability distributions (Bars-and-Stripes) via the QCBMAlgorithm class.
qnn
by unitarylab
Skill for understanding, using, and implementing the Quantum Neural Network (QNN) with parameterized quantum circuits for supervised learning via the QNNAlgorithm class.
vqc
by unitarylab
Skill for understanding, using, and implementing the Variational Quantum Classifier (VQC) for Iris dataset classification with data re-uploading and Parameter Shift Rule via the VQCAlgorithm class.
vqe
by unitarylab
Skill for understanding, using, and implementing the Variational Quantum Eigensolver (VQE) for finding the ground state energy of the 2-qubit Ising Hamiltonian via the VQEAlgorithm class.
anti-ai-writing
by simmercahalan-hub
【玄仁内容工厂定制版】去除简体中文文本中的 AI 写作痕迹，专服务玄仁黄历/公众号/抖音/小红书内容生产。 基于 qu-ai-wei v0.6.6（95KB，51类模式，9语体门检体系）构建，保留全部原生能力。 玄仁专项追加：F1师兄慈悲结尾/F2脚注干支/F3提示框/F4故事讲道理/F5概念拆解/F6穿衣清单/F7口播三段式/F8评论区钩子。 触发词：去AI味、AI味道、检测AI特征、去AI痕迹、AI写作、帮我去AI味、润色。 cron链路：生成后自动过 anti-ai-writing skill，直接出干净版本不出报告。 人工链路：出完整检测报告，用户确认后再改。 检测并修复以下模式:过度拔高意义(值得一提的是、具有重要意义)、时代背景开场套路 (随着...的不断发展)、华丽意象词堆砌(璀璨、熠熠生辉、赋能)、四字成语机械堆叠、 客服式助手腔(希望对您有帮助)、的的不休、滥用进行+V、性/化 后缀堆叠、翻译腔残留、 自媒体伪深度/伪疗愈腔、毒性正能量缝合、B 站科普 AI 体操、 第二人称泛化代词("用户 / 大家"替代"你") 等共 51 类模式,分 9 个大类(A-I),带 9 种语体识别前置步骤(含品牌广告 / 文案语体 与技术博客分档)。顶层硬约束七条:过度消毒反制 + AI 不敢写正向检测 + 事实发明禁令 + 门检强制输出 + 语体降级保护 + 主动打磨(六条 craft moves 的主动触发) + 整篇 craft 自检(跟「AI 不敢写测试」互补)。终稿强制附「打磨报告」, 让用户看到 skill 具体动了什么。参照 Apple 大中华区 / Nike 大中华区本地化文案作为 品牌广告语体的反向诊断基准。 只支持简体中文。繁體(台 / 港用字)规则单独维护,暂未纳入。
ai-ppt-remix
by Chaosikaros
Use when remaking an existing PPT or slide deck from a source PPTX and matching script or notes into a new deck of consistent AI-generated slide images, especially when one new slide should semantically merge one or more source slides while preserving important screenshots, text, and case-study evidence.
Master Prep AI CLI Skill
by 3171381144
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nature-response
by Yuan1z0825
Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions. Use when the user provides reviewer comments, editor decision letters, revision notes, response drafts, or asks how to respond to major/minor revision requests, rebuttal letters, response to reviewers, peer-review reports, 审稿意见回复, 逐点回复, 修回信, 大修回复, 小修回复, or 如何回复 reviewer.
pennylane
by unitarylab
PennyLane - A versatile quantum machine learning library that supports hybrid quantum-classical computations.
china-stock-analyst
by wjt0321
A股短线分析助手，聚焦“短线交易信号 + 营收质量”双轨研判。使用时机：分析单只A股、对比多只股票、验证历史报告、回测策略表现、优化参数配置。默认采用 Team-First 并行分析，支持插件化扩展、回测框架、策略优化。
scholar-deep-research
by Agents365-ai
Use when the user asks for a literature review, academic deep dive, research report, state-of-the-art survey, topic scoping, comparative analysis of methods/papers, grant background, or any request that needs multi-source scholarly evidence with citations. Also trigger proactively when a user question clearly requires academic grounding (e.g. "what's known about X", "compare approach A vs B in the literature", "summarize the field of Y"). Runs an 8-phase (Phase 0..7), script-driven research workflow across 7 federated sources (OpenAlex, arXiv, Crossref, PubMed, DBLP, bioRxiv, Exa) with optional Semantic Scholar / Brave MCP enrichment, with deduplication, transparent ranking, dual-backend citation chasing (OpenAlex + Semantic Scholar), self-critique, and structured report output with verifiable citations.