The Digital Futurist logoSkills and Prompt Registry
type public-role-directoryrole quantum-ml-engineercategory quantum/engineeringcurator Thomas Cherickalupdated 2026-11-15

quantum-ml-engineer: Public Skills (11)

Sorted by GitHub stars of the source repo, highest first.

# Skill Owner Repo Stars License What it does
1 cirq K-Dense-AI K-Dense-AI/scientific-agent-skills 57,202 MIT Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum...
2 pennylane K-Dense-AI K-Dense-AI/scientific-agent-skills 57,202 MIT Builds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational...
3 pytorch-lightning K-Dense-AI K-Dense-AI/scientific-agent-skills 57,202 MIT Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for...
4 qiskit K-Dense-AI K-Dense-AI/scientific-agent-skills 57,202 MIT Builds, simulates, transpiles, and executes quantum circuits with Qiskit and IBM Quantum Runtime. Use for Qiskit 2.x circuits and...
5 qutip K-Dense-AI K-Dense-AI/scientific-agent-skills 57,202 MIT Simulate and audit closed and open quantum-system models with QuTiP 5, including deterministic, trajectory, steady-state, spectral, and...
6 scikit-learn K-Dense-AI K-Dense-AI/scientific-agent-skills 57,202 MIT Supports machine learning in Python with scikit-learn. Applies when working with supervised learning (classification, regression),...
7 distributed-training-pytorch-lightning davila7 davila7/claude-code-templates 33,617 MIT High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal...
8 mamba-architecture Orchestra-Research Orchestra-Research/AI-Research-SKILLs 14,542 MIT State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM...
9 sparse-autoencoder-training Orchestra-Research Orchestra-Research/AI-Research-SKILLs 14,542 MIT Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into...
10 transformer-lens-interpretability Orchestra-Research Orchestra-Research/AI-Research-SKILLs 14,542 MIT Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via...
11 qector-math-foundations GuillaumeLessard GuillaumeLessard/qector-claude-plugin 1 NOASSERTION - The strict mathematical ground rules for every QECTOR claim. Encodes the F2 notation, the 16 correctness theorems, the Wilson 95% score...