{"title":"Fast batch gradient descent in quantum neural networks","authors":"Joo Yong Shim, Joongheon Kim","doi":"10.1049/ell2.70162","DOIUrl":null,"url":null,"abstract":"<p>A novel batch gradient descent algorithm for parameterized quantum circuits that significantly reduces the time complexity in terms of batch size for training quantum neural networks is proposed. Batch data constructed to quantum random access memory (qRAM) structure is mapped to one circuit that estimates average loss. As the number of circuits decreases, the range to which quantum amplitude estimation can be applied increases, speeding up with a quadratic scale in batch size.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70162","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics Letters","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/ell2.70162","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
A novel batch gradient descent algorithm for parameterized quantum circuits that significantly reduces the time complexity in terms of batch size for training quantum neural networks is proposed. Batch data constructed to quantum random access memory (qRAM) structure is mapped to one circuit that estimates average loss. As the number of circuits decreases, the range to which quantum amplitude estimation can be applied increases, speeding up with a quadratic scale in batch size.
期刊介绍：
Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews.
Scope
As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below.
Antennas and Propagation
Biomedical and Bioinspired Technologies, Signal Processing and Applications
Control Engineering
Electromagnetism: Theory, Materials and Devices
Electronic Circuits and Systems
Image, Video and Vision Processing and Applications
Information, Computing and Communications
Instrumentation and Measurement
Microwave Technology
Optical Communications
Photonics and Opto-Electronics
Power Electronics, Energy and Sustainability
Radar, Sonar and Navigation
Semiconductor Technology
Signal Processing
MIMO
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