What problem does it solve? Choosing the right quantum algorithm implementation and its correct usage pattern is difficult when a library spans dozens of algorithms across primitives, linear systems, cryptography, simulation, and machine learning. This Skill provides a structured index that routes each quantum computing request to the correct UnitaryLab algorithm guide before any code is written. ## Core Features & Use Cases - Algorithm Routing: Directs requests to ten categories — quantum primitives, linear systems, cryptography, Hamiltonian simulation, Schrodingerization, quantum machine learning, state preparation, eigensolvers, gradients, and quantum error correction. - Implementation Guidance: Each category links to detailed leaf guides with parameters, return contracts, validation rules, and runnable examples for UnitaryLab, with Qiskit, PennyLane, and Classiq reference extensions. - Safe Workflow Rules: Enforces install-only-when-needed behavior for the unitarylab-algorithms package and treats bundled scripts as reference-only material, never runtime dependencies. - Use Case: A user asks to solve a linear system with HHL or estimate ground-state energy with VQE; the Skill routes to the exact leaf guide, then generates standalone validated code with the documented parameters and return fields. ## Quick Start Ask the assistant to implement a specific quantum algorithm such as VQE ground-state estimation or Shor's factoring using the algorithms skill, and it will route to the correct guide and generate runnable code.
