
Quantum Algorithm Beats Classical Tools On Complement Sampling Tasks
alternative_right shares a report from Phys.org: A team of researchers working at Quantinuum in the United Kingdom and QuSoft in the Netherlands has now developed a quantum algorithm that solves a specific sampling task -- known as complement sampling -- dramatically more efficiently than any classical algorithm. Their paper, published in Physical Review Letters, establishes a provable and verifiable quantum advantage in sample complexity: the number of samples required to solve a problem.
"We stumbled upon the core result of this work by chance while working on a different project," Harry Buhrman, co-author of the paper, told Phys.org. "We had a set of items and two quantum states: one fo...