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Quantum Algorithm Beats Classical Tools On Complement Sampling Tasks (phys.org)

(Tuesday February 24, 2026 @05:00AM (BeauHD) from the making-gains dept.)


[1]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, [2]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 formed from half of the items, the other formed from the remaining half. Even though the two states are fundamentally distinct, we showed that a quantum computer may find it hard to tell which one it is given. Surprisingly, however, we then realized that transforming one state into the other is always easy, because a simple operation can swap between them."



[1] https://slashdot.org/~alternative_right

[2] https://journals.aps.org/prl/abstract/10.1103/q55v-wm7y



"I wonder", he said to himself, "what's in a book while it's closed. Oh, I
know it's full of letters printed on paper, but all the same, something must
be happening, because as soon as I open it, there's a whole story with people
I don't know yet and all kinds of adventures and battles."
-- Bastian B. Bux