IonQ (IONQ) announced an advancement in quantum chemistry simulations, demonstrating the accurate computation of atomic-level forces with the ...
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 ...
The Annals of Statistics, Vol. 39, No. 6 (December 2011), pp. 3262-3289 (28 pages) Adaptive and interacting Markov chain Monte Carlo algorithms (MCMC) have been recently introduced in the literature.
IonQ, Inc. shares rise after achieving major progress in quantum chemistry simulations with its QC-AFQMC algorithm, showing ...
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 ...
IonQ (NYSE:IONQ) shares rocketed ~19% on Monday after the quantum computing pioneer unveiled a major leap in quantum ...
Inference for a complex system with a rough energy landscape is a central topic in Monte Carlo computation. Motivated by the successes of the Wang—Landau algorithm in discrete systems, we generalize ...
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 ...
High frequency radio waves applied to Josephson junctions produce chaotic noise that could improve cryptographic algorithms ...
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 ...