Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
A surge of funding and federal action is giving the once-futuristic technology a more immediate role in everything from ...
D-Wave is something of an anomaly in a quantum computing industry. While companies ranging from hyperscalers like Microsoft, Google, and Amazon Web Services to traditional enterprise system makers ...
When you hear about quantum computers, most of the time, investors are discussing quantum computers that have the same capability as a traditional computer. This allows them to run a wide variety of ...
Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant ...
Abstract: A simulated annealing (SA) algorithm is an effective method for solving optimization problems, especially for combinatorial optimization problems. However, SA algorithms rely heavily on the ...
Abstract: List-based simulated annealing (LBSA) algorithm is a novel simulated annealing algorithm where list-based cooling scheme is used to control the change of parameter temperature. Aiming to ...
In an impressive feat, Japanese startup Sakana AI’s coding agent ALE-Agent recently secured first place in the AtCoder Heuristic Contest (AHC058), a complex coding competition that involves ...
D-Wave Quantum Inc., a commercial supplier of quantum computing hardware and software, today announced an agreement to acquire the leading developer of gate-model quantum computing systems Quantum ...
If you've seen one quantum computer, you've seen... one quantum computer. Different companies use different quantum technologies. D-Wave Quantum employs an approach known as quantum annealing. It's ...
ABSTRACT: This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this ...
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