Year: 2024
Type: article
Abstract: We show how to find all k marked elements in a list of size N using the optimal number O(Nk) of quantum queries and only a polylogarithmic overhead in the gate complexity, in the setting where one has a small quantum memory. Previous algorithms either incurred a factor k overhead in the gate complexity, or had an extra factor log(k) in the query complexity.We then consider the problem of finding a multiplicative δ -approximation of s=∑i=1Nvi where v=(vi)∈[0,1]N , given quantum query access to a binary description of v . We give an algorithm that does so, with probability at least 1−ρ , using O(Nlog(1/ρ)/δ) quantum queries (under mild assumptions on ρ ). This quadratically improves the dependence on 1/δ and log(1/ρ) compared to a straightforward application of amplitude estimation. To obtain the improved log(1/ρ) dependence we use the first result.
Source: Quantum
Language: Latvian
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $215
OpenAlex ID: W4392817690
