Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

It remains an open question when a commercial quantum computer will emerge that can outperform classical (non-quantum) ...

Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...

Rice quantum computing researchers have introduced a novel algorithm that earned the team a place in the global XPRIZE Quantum Applications competition.

ZuriQ, a Swiss startup founded in 2024, is making waves with its unique approach to trapped-ion quantum computing. They’ve ...

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...

Dani Gluck, PhD is Senior Algorithmics Researcher for LightSolver, conducting algorithm development and related mathematical and theoretical-physical research for the company’s proprietary Laser ...

For years, quantum computers have been framed as the ultimate problem solvers, machines that would eventually crack any task that classical hardware could not touch. Now a new line of research is ...

Dr. James McCaffrey of Microsoft Research uses full code samples to detail an evolutionary algorithm technique that apparently hasn't been published before. The goal of a combinatorial optimization ...