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Quantum divide and conquerAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Sergii Strelchuk. The divide-and-conquer framework, used extensively in classical algorithm design, recursively breaks a problem into smaller subproblems, along with some auxiliary work, to give a recurrence relation for the classical complexity. We describe a quantum divide-and-conquer framework that, in certain cases, yields quantum speedup through an analogous recurrence relation for the quantum query complexity. We apply this framework to obtain near-optimal quantum query complexities for various string problems, such as (i) recognizing regular languages; (ii) decision versions of String Rotation and String Suffix; and natural parameterized versions of (iii) Longest Increasing Subsequence and (iv) Longest Common Subsequence. Based on joint work with Robin Kothari, Matt Kovacs-Deak, Aarthi Sundaram, and Daochen Wang (arXiv:2210.06419). Zoom link: https://us02web.zoom.us/j/85407695986?pwd=TFNOcFk5RzNneUQwbGxCaU9pVEF5dz09 This talk is part of the CQIF Seminar series. This talk is included in these lists:
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