This article investigates Quantum Fisher Information (QFI) as a diagnostic tool for analyzing parameter sensitivity and ...

Researchers have demonstrated how a smart compiler specifically tailored for superconducting quantum hardware can optimize circuits and networks and execute less error-prone quantum algorithms such as ...

A quantum computer can solve optimization problems faster than classical supercomputers, a process known as "quantum advantage" and demonstrated by a USC researcher in a paper recently published in ...

Quantum optimization team: from left to right are Kilian Ender, Clemens Dlaska, Wolfgang Lechner, Rick van Bijnen, Andreas Kruckenhauser and Glen Bigan Mbeng Quantum computers are often discussed as a ...

In a new paper in Science Advances on May 29, researchers at JPMorgan Chase (NYSE: JPM), the U.S. Department of Energy’s (DOE) Argonne National Laboratory and Quantinuum have demonstrated clear ...

Physicists have introduced an approach for simulating the quantum approximate optimization algorithm using a traditional computer. Instead of running the algorithm on advanced quantum processors, the ...

In a new development that is most likely to establish a new industry standard, scientists at Cambridge Quantum (CQ) have created a new algorithm for solving combinatorial optimization problems that ...

Dr. Andrés Gómez, Applications & Projects Dept. Manager, lead his team focussed on application support to CESGA’s supercomputing users and the promotion and management of R&D&I projects. This two-week ...

Using quantum algorithms can bring down infrastructure costs, as they allow you to solve problems very quickly compared to current techniques. Quantum AI has algorithms similar to AI and will have a ...