quantum annealing tagged posts

Quantum computer outperforms supercomputers in approximate optimization tasks

quantum computing
Credit: AI-generated image

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 to complex problems.

“The way quantum annealing works is by finding low-energy states in quantum systems, which correspond to optimal or near-optimal solutions to the problems being solved,” said Daniel Lidar, corresponding author of the study and professor of electrical and computer engineering, chemistry, and physics and astronomy at the USC Viterbi School of Engi...

Read More

Team demonstrates Quantum Advantage on Optimization problems with a 5,000-qubit Programmable Spin Glass

Team demonstrates quantum advantage on optimization problems with a 5000-qubit programmable spin glass
The D-Wave Advantage processor, with more than 5,000 qubits and 40,000 programmable couplers, was used to demonstrate coherent annealing through a quantum phase transition, giving a speedup over simulated annealing. Credit: D-Wave

Over the past decades, researchers and companies worldwide have been trying to develop increasingly advanced quantum computers. The key objective of their efforts is to create systems that will outperform classical computers on specific tasks, which is also known as realizing “quantum advantage.”

A research team at D-Wave Quantum Inc., a Canadian quantum computing company, recently created a new quantum computing system that outperforms classical computing systems on optimization problems...

Read More