claude

quantum-computing

Quantum Computing: the physical and mathematical foundations and the circuit model, what quantum computers can and cannot do, the algorithm canon (Shor, Grover, HHL, VQE/QAOA, quantum simulation) and their honest complexity claims, noise and the NISQ era, error correction and fault tolerance, hardware modalities and where the hardware actually is, the software stack (Qiskit, Cirq, PennyLane, CUDA-Q, OpenQASM), resource estimation, evaluating quantum-advantage claims, applications, quantum networking and sensing, and post-quantum cryptography and migration deadlines.

5 on GitHubby Adam Matthew Steinbergerv0.1.0MITupdated todayemerging-tech
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Plugin quantum-computing from marketplace vibey in the-vibey-project/vibey. Commands read from the repo's manifest — today.

What it installs

Skills (5)

  • quantum-applications-and-post-quantum-crypto

    Use when evaluating quantum applications or planning a post-quantum migration. Covers quantum chemistry and materials as the strongest case, optimization, quantum machine learning, finance and everything else, quantum networking (QKD, repeaters) and sensing, and post-quantum cryptography — the harve

  • quantum-foundations-and-algorithms

    Use when explaining or learning how quantum computing works and what it can do: the qubit, superposition, entanglement, interference, and measurement, gates and circuits, the misconceptions up front, the complexity picture (BQP, what quantum computers cannot do), and the algorithm canon — Shor, Grov

  • quantum-noise-error-correction-and-hardware

    Use when reasoning about real quantum hardware: what goes wrong (decoherence, gate errors, crosstalk), error mitigation vs correction, benchmarking (quantum volume, randomized benchmarking), barren plateaus, the idea of quantum error correction, the surface code and qLDPC codes, the 2024–2026 below-

  • quantum-reference

    Use when learning quantum computing from scratch, debunking myths and anti-patterns, weighing contested questions (when a cryptographically-relevant quantum computer arrives, whether advantage has been achieved, whether NISQ is a dead end, annealing and optimization, topological qubits, whether the

  • quantum-software-and-resource-estimation

    Use when programming a quantum computer or assessing a quantum claim: the software layers, the frameworks (Qiskit, Cirq, PennyLane, CUDA-Q, OpenQASM, transpilers), what programming quantum computers is actually like, resource estimation from algorithm to logical to physical qubits, the canonical RSA

View source on GitHub the-vibey-project.github.io

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Developer Experience: the evidence-graded blueprint, in two parts, for making a codebase, CLI, API, documentation set, UI and AI-agent surface easy to use well, and for placing each feature on the right device surface (VS Code, desktop, iOS, Android, web) so non-developers reach a working result too. Short and trustworthy feedback loops, cognitive load, one-command local setup, CLI conventions (streams, exit codes, --json, --dry-run, NO_COLOR), error messages that say what failed and how to fix it, API and SDK usability, Diataxis documentation, TUI and screen-reader accessibility, onboarding and contribution barriers, AGENTS.md, llms.txt and MCP tool design for coding agents, and how to measure DevEx with surveys paired with system data, with every claim graded A, B or C and the weak or contested evidence called out.

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