Abstract Quantum Bridge Analytics relates generally to methods and systems for hybrid
classical-quantum computing, and more particularly is devoted to developing tools for …

Abstract Quantum Bridge Analytics relates generally to methods and systems for hybrid
classical-quantum computing, and more particularly is devoted to developing tools for …

Quantum computing (QC) has gained popularity due to its unique capabilities that are quite
different from that of classical computers in terms of speed and methods of operations. This …

This work focuses on expressing the TSP with Time Windows (TSPTW for short) as a
quadratic unconstrained binary optimization (QUBO) problem. The time windows impose …

Digital Annealer (DA) is a computer architecture designed for tackling combinatorial
optimization problems formulated as quadratic unconstrained binary optimization (QUBO) …

Population annealing, one of the currently state-of-the-art algorithms for solving spin-glass
systems, sometimes finds hard disorder instances for which its equilibration quality at each …

Quantum computing (QC) is the next frontier in computation and has attracted a lot of
attention from the scientific community in recent years. With the ever-increasing complexity …

As we approach the physical limits predicted by Moore's law, a variety of specialized
hardware is emerging to tackle specialized tasks in different domains. Within combinatorial …

The quadratic unconstrained binary optimization (QUBO) problem belongs to the NP-hard
complexity class of problems and has been the subject of intense research since the 1960s …

The study of spin systems with disorder and frustration is known to be a computationally
hard task. Standard heuristics developed for optimizing and sampling from general Ising …