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 ...
The proposed technique is expected to enable quantum sampling algorithms to scale to high precision, paving the way for quantum advantage on practical problems “The Fidelity Center for Applied ...
Marking a significant step in the roadmap for quantum advantage for financial applications, Goldman Sachs and QC Ware researchers have designed new, robust quantum algorithms that outperform ...
Hybrid versions of independent and identically distributed weighted Chinese restaurant (WCR) algorithms are developed for inference in semiparametric linear mixed models under minimal assumptions for ...
Scientists at the University of New South Wales have developed a model to determine the levelized cost of hydrogen (LCOH) by also considering historical weather data at specific locations. According ...
COLLEGE PARK, Md.--(BUSINESS WIRE)--IonQ (NYSE: IONQ), an industry leader in quantum computing, in collaboration with the Fidelity Center for Applied Technology (FCAT), today announced an efficient ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback