New Open-Source Tool Uses Gradient Descent to Determine QSP Phase Angles
Mohamed Abdel-Kareem2026-05-06T19:35:46-07:00Independent researcher Ross Peili has released an open-source demonstration detailing a numerically stable method for training Quantum Signal Processing (QSP) circuits using gradient-based optimization. The project, hosted on GitHub (rosspeili/qsp-pennylane-demo), provides a methodology for implementing high-degree polynomial transformations on quantum hardware by bypassing the traditional reliance on complex analytic solvers, which are often prone to numerical instability. Addressing the Analytic Bottleneck Quantum Signal Processing is a fundamental subroutine used to apply polynomial transformations to a signal encoded within a quantum circuit. The canonical approach involves interleaved applications of a signal oracle W(x) and a sequence of controlled phase rotations Rz(ϕ). Conventionally, [...]