Quantum Software Built on AI: TensorCircuit-NG Bridges Two Computing Frontiers

TensorCircuit-NG marks a significant shift in quantum software design by leveraging the mature AI infrastructure stack rather than reinventing capabilities separately. By treating quantum circuits as tensor operations, the framework gains access to automatic differentiation, JIT compilation, and distributed execution—features proven in JAX, PyTorch, and TensorFlow but largely absent from quantum libraries. This integration approach could substantially improve quantum algorithm performance and accessibility for AI researchers.