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.
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.
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.
Drive Dense-Evolution's real quantum circuit simulator, VQE solver, molecular Hamiltonian builder, QM/MM force calculator, and MD trajectory engine directly through the denseevolutionmcp MCP server, instead of writing new simulation code or describing what a circuit should do in the abstract. Use this skill whenever…