qcbm
OfficialLearn and deploy a Quantum Circuit Born Machine.
Education & Research#quantum-machine-learning#probability-distribution#qcbm#bars-and-stripes#generative-model
Authorunitarylab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps you understand, implement, and run quantum circuit Born machines to model discrete probability distributions using the QCBMAlgorithm class.
Core Features & Use Cases
- Learn and simulate a quantum circuit Born machine to model discrete distributions such as Bars-and-Stripes.
- Train via KL-divergence minimization with the parameter-shift gradient for end-to-end learning.
- Demonstrate generative quantum machine learning concepts on small datasets and educational demos.
Quick Start
Train a QCBM on a 2×2 Bars-and-Stripes distribution using the provided script with 4 qubits and 4 layers.
Dependency Matrix
Required Modules
unitarylab
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: qcbm Download link: https://github.com/unitarylab/quantum-skills/archive/main.zip#qcbm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.