The scientific and technical breakthrough provides a provable roadmap to quantum advantage CAMBRIDGE, United Kingdom, May 27, 2021 /PRNewswire/ -- ...

Monte Carlo methods and Markov Chain algorithms have long been central to computational science, forming the backbone of numerical simulation in a variety of disciplines. These techniques employ ...

There are two flavors of QMC, (a) variational Monte Carlo (VMC) and (b) projector Monte Carlo (PMC). VMC starts by proposing a functional form for the wavefunction and then optimizes the parameters of ...

In this work, we present an alternative solution and show how to adapt a Monte Carlo algorithm in such a way that its results can be stably differentiated by simple finite differences. Our main tool ...

Algorithm accelerates Monte Carlo integration Cambridge Quantum Computing (CQC) has developed an algorithm that accelerates Monte Carlo integration. Monte Carlo integration – the process of ...

The Monte Carlo pathwise sensitivities approach is well established for smooth payoff functions. In this work, we present a new Monte Carlo algorithm that is able to calculate the pathwise ...

Researchers from MIT, Yale, McGill University and others found that adapting the Sequential Monte Carlo algorithm can make AI-generated code better.

Monte Carlo methods: Computational algorithms that utilise repeated random sampling to obtain numerical results, often used for integration, optimisation, and simulation of complex systems.