Quantum computer outperforms supercomputers in approximate optimization tasks
6 Articles
6 Articles
Quantum computer outperforms supercomputers in approximate optimization tasks
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 Physical Review Letters.
Quantum Annealing Demonstrates Scalable Advantage In Solving Spin-Glass Optimization Problems
Quantum annealing utilizes quantum effects such as tunneling to efficiently solve optimization problems like spin glasses by navigating complex energy landscapes, with its performance measured using metrics like the time-to-epsilon, enhanced by techniques including parallel tempering and error correction.
QUANTUM: a new SISSA event series on the science and culture of the quantum revolution
QUANTUM: a new SISSA event series on the science and culture of the quantum revolution fderuvo Thu, 05/01/2025 - 10:55 To mark the International Year of Quantum Science and Technology, SISSA’s Interdisciplinary Laboratory is launching Quantum, a series of four events dedicated to the thinkers and ideas behind one of the most profound conceptual shifts of the twentieth century.The series opens in Padua on Saturday 10 May 2025 as part of the Galil…
Quantum computer outperforms supercomputers in approximate optimization tasks - Science Tech Updates
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 Physical Review Letters. The study shows how quantum annealing, a specialized form of quantum computing, outperforms the best current classical algorithms when searching for near-optimal solutions […] The post Quantum computer outperforms supercompute…
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