Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...

On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

Abstract: Approximate hardware trades acceptable error for improved performance and previous literature focuses on optimizing this tradeoff in the hardware. We show ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

Abstract: In this study, in order to further improve the construction efficiency of sparse approximate inverse (SPAI) preconditioners, we attempt to explore the construction method of SPAI ...

This is reminiscent of the acoustic mirror used from World War I until the advent of radar as an early warning system for bombers.

New Classiq blog details how quantum linear solvers can be tested inside real-world engineering simulation workflows, approach made publicly available in the Classiq library ...

ABSTRACT: Grover’s algorithm is widely celebrated as providing quadratic quantum speedup for unsorted database search, forming the theoretical foundation for numerous claimed quantum advantages in ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical algorithm that seeks to achieve approximate solutions to optimization problems by iteratively alternating between ...

Abstract: We define and study analogs of probabilistic tree embeddings and tree covers for directed graphs. We define the notion of a DAG cover of a general directed ...