Realising and compressing quantum circuits with quantum reservoir computing

Abstract Quantum computers require precise control over parameters and careful engineering of the underlying physical system. In contrast, neural networks have evolved to tolerate imprecision inhomogeneity. Here, using a reservoir computing architecture we show how random network quantum nodes can be used as robust hardware for computing. Our induces operations by optimising only single layer nodes, key advantage traditional where many layers neurons optimised. We demonstrate induce different gates, including universal gate set. Moreover, in few-qubit regime, that sequences multiple gates circuits compressed with operation, potentially reducing operation time complexity. As resource is no specific topology or structure, this friendly alternative paradigm computation.