Researchers from the National University of Singapore (NUS) have successfully simulated higher-order topological (HOT) lattices with unprecedented accuracy using digital quantum computers. These complex lattice structures ...
A recent study led by University of Minnesota Twin Cities researchers provides fundamental insight into how light, electrons, and crystal vibrations interact in materials. The research has implications for developing on-chip ...
The operation of a quantum computer relies on encoding and processing information in the form of quantum bits—defined by two states of quantum systems such as electrons and photons. Unlike binary bits used in classical ...
Scientists from Yale University and the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a systematic approach to understanding how energy is lost from the materials that make up qubits. Energy ...
Quantum computers have the potential of outperforming conventional computers on some practically relevant information processing problems, possibly even in machine learning and optimization. Yet their large-scale deployment ...
PEARC24 launched its first Workshop on Broadly Accessible Quantum Computing (QC) as the full conference began, July 22, in Providence, RI. Led by NCSA's Bruno Abreu and QuEra's Tomasso Macri, 30+ participants included quantum ...
A team led by researchers from the California NanoSystems Institute at UCLA has designed a unique material based on a conventional superconductor—that is, a substance that enables electrons to travel through it with zero ...
Led by University of Melbourne theoretician and HPC expert Associate Professor Giuseppe Barca, a research team has achieved the first quantum simulation of biological systems at a scale necessary to accurately model drug ...
A new generation of specialty optical fibers has been developed by physicists at the University of Bath in the UK to cope with the challenges of data transfer expected to arise in the future age of quantum computing.
Over the past decades, computer scientists have developed various computing tools that could help to solve challenges in quantum physics. These include large-scale deep neural networks that can be trained to predict the ground ...
