Recently, a research team from the Technical University of Munich in Germany developed a new algorithm called High Parallel Atomic Reordering System (HiPARS), opening new pathways for the scalability ...

A new platform developed by Illinois Grainger engineers demonstrates the utility of a ytterbium-171 atom array in quantum ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

Suffix arrays serve as a fundamental tool in string processing by indexing all suffixes of a text in lexicographical order, thereby facilitating fast pattern searches, text retrieval, and genome ...

In this video, Peter Sanders from Karlsruhe Institute of Technology presents: Parallel Algorithms Reconsidered. Parallel algorithms have been a subject of intensive algorithmic research in the 1980s.

QuEra Computing, the leader in neutral-atom quantum computing, today announced that Nature has published "Low-Overhead Transversal Fault Tolerance for Universal Quantum Computation," a paper prepared ...

Outshining ASICs, DSP and FPGA for many video and imaging applications, each processor in an MPPA is strictly encapsulated, accessing only its own code and memory. Editor's Note: This is the first of ...

It is well known that traditional Markov chain Monte Carlo (MCMC) methods can fail to effectively explore the state space for multimodal problems. Parallel tempering is a well-established population ...

Researchers from EPFL, AMD, and the University of Novi Sad have uncovered a long-standing inefficiency in the algorithm that ...

Parallel tempering is a generic Markov chain Monte Carlo sampling method which allows good mixing with multimodal target distributions, where conventional Metropolis-Hastings algorithms often fail.