Basic quantum subroutines: finding multiple marked elements and summing numbers

• URL: http://arxiv.org/abs/2302.10244v3
• Date: Tue, 5 Mar 2024 16:07:53 GMT
• Title: Basic quantum subroutines: finding multiple marked elements and summing numbers
• Authors: Joran van Apeldoorn, Sander Gribling, Harold Nieuwboer
• Abstract summary: We show how to find all $k$ marked elements in a list of size $N$ using the optimal number $O(sqrtN k)$ of quantum queries.
• Score: 1.1265248232450553
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We show how to find all $k$ marked elements in a list of size $N$ using the optimal number $O(\sqrt{N k})$ 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 $\delta$-approximation of $s = \sum_{i=1}^N v_i$ where $v=(v_i) \in [0,1]^N$, given quantum query access to a binary description of $v$. We give an algorithm that does so, with probability at least $1-\rho$, using $O(\sqrt{N \log(1/\rho) / \delta})$ quantum queries (under mild assumptions on $\rho$). This quadratically improves the dependence on $1/\delta$ and $\log(1/\rho)$ compared to a straightforward application of amplitude estimation. To obtain the improved $\log(1/\rho)$ dependence we use the first result.

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