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 framewo...

Abstract Quantum computing promises to overcome computational limitations with better and faster solutions for optimization, simulation, machine learning problems. Europe Germany are in the process of successfully establishing research funding programs objective advance technology’s ecosystem industrialization, thereby ensuring digital sovereignty, security, competitiveness. Such an comprises h...

Quantum computers are expected to surpass the computational capabilities of classical and have a transformative impact on numerous industry sectors. We present comprehensive summary state art quantum computing for financial applications, with particular emphasis stochastic modelling, optimization machine learning. This Review is aimed at physicists, so it outlines techniques used by discusses p...