菜单
Quantum state-preparation algorithms for loading target amplitude vectors into UnitaryLab circuits, including sparse Superposition, Möttönen decomposition, Matrix Product State preparation, recursive Multiplexer preparation, and variational Pauli-word preparation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Root entrypoint for the quantum-skills package. Use this skill to route requests to the correct simulator or algorithm sub-skill, enforce full skill-chain reading before coding, and avoid duplicating implementation details that are already defined in leaf skills.
A set of quantum algorithms for solving linear systems of equations and related Fourier/signal-processing subroutines. This skill includes UnitaryLab implementations and educational resources for AQC, HHL, LCU, QFT, the basic single-qubit QSP demo, QSVT-QLSA, and VQLS.
Solve user-provided linear systems Ax = b with the UnitaryLab Variational Quantum Linear Solver, using a hardware-efficient ansatz and selectable local Hadamard-test, local classical, or global cost functions.
A top-level index of quantum algorithms centered on the UnitaryLab implementation, covering quantum primitives, linear systems, state preparation, cryptography, Hamiltonian simulation, Schrodingerization, quantum machine learning, eigensolvers, gradients, and quantum error correction, with selected Qiskit, PennyLane, and Classiq examples included as reference extensions.
Use when users ask about solving the discrete logarithm problem g^x ≡ y (mod P) with Shor-style two-register Fourier sampling, building/explaining DLP circuits, running simulator demos, or debugging post-processing (continued fractions plus two-dimensional Fourier-sample congruence solving). Relevant trigger terms include discrete log, DLP, Shor discrete logarithm, g^x mod P, modular exponentiation, two-dimensional Fourier sampling, continued fractions, congruence solving, and quantum cryptography demos.
Use this skill when the user asks for Shor integer factorization, quantum order-finding, period estimation, or implementing/running/debugging ShorAlgorithm in this repository (especially matrix/operator methods, IQFT-based phase post-processing, and continued-fraction period recovery). Relevant keywords include shor, factor N, order finding, period finding, modular exponentiation, continued fraction, quantum factoring, and ShorAlgorithm.
| name | state-preparation |
| description | Quantum state-preparation algorithms for loading target amplitude vectors into UnitaryLab circuits, including sparse Superposition, Möttönen decomposition, Matrix Product State preparation, recursive Multiplexer preparation, and variational Pauli-word preparation. |
This file routes requests for loading target amplitude vectors into quantum circuits.
Use this category when the user asks to prepare a general complex state, exploit sparse support or tensor-network structure, use controlled-rotation decompositions, or optimize a trainable state-preparation circuit.
./mottonen/SKILL.md as the default deterministic route../superposition/SKILL.md../mps/SKILL.md../multiplexer/SKILL.md../pauli/SKILL.md../superposition/SKILL.md./mottonen/SKILL.md./mps/SKILL.md./multiplexer/SKILL.md./pauli/SKILL.md./mottonen/SKILL.md.