Agentic Research Capabilities
arxiv-reproduce
Turns published methods into runnable, metadata-rich research artifacts with implementation and validation context.
performance-optimize
Optimizes scientific workloads through JIT compilation, vectorized execution, memory planning, and backend-aware performance tuning.
meta-explorer
Explores quantum algorithm architectures, ansatzes, and optimization strategies across multiple research frontiers.
tc-rosetta
Translates quantum workflows from Qiskit, PennyLane, and other frameworks into optimized TensorCircuit-NG implementations.
demo-generator
Turns scientific scripts and research results into interactive demos and shareable applications for exploration and communication.
code-reviewer
Audits mathematical correctness, backend compatibility, reproducibility, and performance before research artifacts are delivered.