Google Quantum AI and Keysight joined forces to enhance Quantum circuit simulations with frequency-domain flux quantization Provides an extended library of quantum devices and a robust circuit design ...
Neural network quantization is an established technique for compressing real-valued models, but its application to complex-valued networks—essential in electromagnetics, acoustics, and quantum physics ...
The discovery of the integer and fractional quantum Hall effects naturally prompted the question of whether these effects can be realized without a magnetic field. Answering this is fundamentally ...
For the last 80 years, the theory of quantum electrodynamics (QED), which describes all electromagnetic interactions, has been a cornerstone of the standard model, withstanding the scrutiny of ...
STARKVILLE, Miss.—A Mississippi State University research team is using more than half a million dollars from the U.S. Department of Energy nuclear physics program to study the emerging field of ...
Researchers at the University of Würzburg have developed a method that can improve the performance of quantum resistance standards. It's based on a quantum phenomenon called Quantum Anomalous Hall ...
Quantum advantage is the milestone the field of quantum computing is fervently working toward, where a quantum computer can solve problems that are beyond the reach of the most powerful non-quantum or ...
SANTA ROSA, Calif.--(BUSINESS WIRE)--$KEYS #AI--Keysight Technologies, Inc. (NYSE: KEYS) introduces Quantum Circuit Simulation (Quantum Ckt Sim), an innovative ...
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