The Gillespie algorithm provides statistically exact methods for simulating stochastic dynamics modeled as interacting sequences of discrete events including systems of biochemical reactions or ...

This paper proposes a new gradient-descent algorithm for complex independent component analysis and presents its application to the Multiple-Input Multiple-Output communication systems. Algorithm uses ...

A computational revolution unleashed the power of artificial neural networks. At the heart of that revolution is automatic differentiation, which calculates the derivative of a performance measure ...

A major aspect of quantum algorithms research is to make applications of interest more near term by reducing quantum resource requirements including qubit count, circuit depth, numbers of gates, and ...

While hardware errors have garnered significant attention as the major obstacle to quantum computing, the error due to human factors in the implementation is less ...