quantum-poc

Community

Benchmark quantum algorithms with precision and honesty.

Authorweebcoder101
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a framework for benchmarking quantum algorithms with clear standards and honesty, ensuring fair comparisons and accurate reporting.

Core Features & Use Cases

  • Quantum Benchmarking: Offers a protocol for comparing quantum algorithms like QAE and QAOA against classical methods.
  • Honest Reporting: Ensures all results are labeled as simulator-only, avoiding false claims of quantum advantage.
  • Use Case: Use this Skill to benchmark your quantum algorithm against classical methods and report results accurately for peer review or publication.

Quick Start

Run the quantum-poc skill to benchmark your quantum algorithm against classical methods using the provided scripts.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: quantum-poc
Download link: https://github.com/weebcoder101/dreamcode/archive/main.zip#quantum-poc

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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