Quantum Channel Polynomial Processing
Quantum Channel Polynomial Processing (QCPP) introduces a new method to implement functions of Hermitian operators using a trade-off between circuit complexity and sampling. It achieves optimal query complexity by accepting exponentially scaling sample complexity, offering super-algebraic convergence for target functions. This framework uses probabilistic building blocks inspired by qDRIFT protocols.