Work

Random-depth Quantum Amplitude Estimation

Year: 2023

Type: preprint

Abstract: The maximum likelihood amplitude estimation algorithm (MLAE) is a practical solution to the quantum amplitude estimation problem with Heisenberg limit error convergence. We improve MLAE by using random depths to avoid the so-called critical points, and do numerical experiments to show that our algorithm is approximately unbiased compared to the original MLAE and approaches the Heisenberg limit better.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2301.00528

Authors: Lu, Xi, Lin, Hongwei

Institution: Zhejiang University

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4313484166

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