tensorcircuit/tensorcircuit-ng
Skill Claude CodeCodex
Autonomously reproduces quantum computing arXiv papers using TensorCircuit-NG. It creates standardized repository structures, generates meta.yaml, writes and runs JAX-accelerated code, and strictly enforces code quality (black/pylint) before saving final figures.
tensorcircuit/tensorcircuit-ng
Skill Claude CodeCodex
Review TensorCircuit-NG code diffs for correctness, performance, backend agnosticity, and minimal high-quality fixes.
tensorcircuit/tensorcircuit-ng
Skill Claude CodeCodex
Tune tensor-network contraction path search and slicing for TensorCircuit-NG workloads, especially OMECO and cotengra hyperparameters, memory targets, total FLOPs/write, slice counts, and large-circuit amplitude or expectation contractions.
tensorcircuit/tensorcircuit-ng
Skill Claude CodeCodex
Transforms a TensorCircuit-NG script into an interactive, sleek, and high-performance GUI application using Streamlit. It intelligently extracts the most impressive aspects of the physics simulation and presents them via interactive widgets and real-time visualizations.
tensorcircuit/tensorcircuit-ng
Skill Claude CodeCodex
Maintain TensorCircuit-NG development memory in .agents/memory/. Use update mode to save durable lessons from the current session into the right memory file, and use dream mode to scan and refactor the whole memory set for lower redundancy, clearer taxonomy, and better long-term usefulness.
tensorcircuit/tensorcircuit-ng
Skill Claude CodeCodex
Autonomously explores the space of quantum circuits and optimization strategies to solve specific physical problems (VQE, QAOA, QML, etc.). It uses a budget-constrained, multi-frontier search to discover high-performance solutions and records all experiments in a reproducible registry.
tensorcircuit/tensorcircuit-ng
Skill Claude CodeCodex
Analyzes and refactors TensorCircuit-NG code to achieve peak time and memory performance. It enforces advanced JAX vectorization, intelligent JIT staging, optimal tensor network contraction, and memory-efficient autodiff strategies.
tensorcircuit/tensorcircuit-ng
Skill Claude CodeCodex
Performs a comprehensive sanity check on the codebase to reduce entropy, increase readability, and improve maintainability. Identifies issues with imports, comments, dead code, DRY violations, exception handling, magic numbers/secrets, docstrings, duplicated implementations, and test sufficiency.
tensorcircuit/tensorcircuit-ng
Skill Claude CodeCodex
Autonomously translates quantum scripts from other frameworks (Qiskit, PennyLane) into TensorCircuit-NG. It performs end-to-end intent understanding, applies JAX vectorization/JIT, and outputs a strict before-and-after execution time benchmarking report.
tensorcircuit/tensorcircuit-ng
Skill Claude CodeCodex
Transforms a raw TensorCircuit-NG script into a comprehensive, self-contained, and narrative-driven tutorial in Markdown and/or HTML. It acts as an expert technical writer, blending physics/math background, step-by-step code walkthroughs, and HPC programming highlights.
tensorcircuit/tensorcircuit-ng
Instructions file CodexOpenCode
Instructions for tensorcircuit/tensorcircuit-ng, covering tensorcircuit-ng repository guide for ai agents, mission, non-negotiable rules, environment rules and where to look first.
tensorcircuit/tensorcircuit-ng
Instructions file
Instructions for tensorcircuit/tensorcircuit-ng, a project described as: Next-gen AI-native tensor-network-based quantum software framework.