Quantum Computing with Differentiable Quantum Transforms

We present a framework for differentiable quantum transforms. Such transforms are metaprograms capable of manipulating programs in way that preserves their differentiability. highlight potential with set relevant examples across computing (gradient computation, circuit compilation, and error mitigation), implement them using the transform PennyLane, software library programming. In this framework, themselves can be parametrized optimized, which opens up possibility improved resource requirements spectrum tasks.