Quantum computing has a crucial weakness that may severely delay, if not kill outright, its chances of becoming a way of running algorithms that classical computers cannot handle: its susceptibility...
[R]eluctance to accept that practical quantum computing has arrived presumably stems from the question of whether it can do anything truly useful yet. Sure, one can construct a problem that...
Marco Bernardi, professor of applied physics, physics and materials science; and Jinsoo Park (MS '20, PhD '22), postdoctoral scholar research associate in applied physics and materials science, have developed a...
Researchers at Lawrence Berkeley National Laboratory’s Advanced Quantum Testbed (AQT) demonstrated that an experimental method known as randomized compiling (RC) can dramatically reduce error rates in quantum algorithms and lead...
Engineers and materials scientists studying superconducting quantum information bits (qubits)—a leading quantum computing material platform based on the frictionless flow of paired electrons—have collected clues hinting at the microscopic sources of qubit information...