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Title: But why would we use quantum computers after all? Approaching Quantum Machine Learning a little differently Abstract: The last years of research in quantum machine learning have taught us a lot. There are problems where quantum computers have a provable advantage for learning (just apply Shor somewhere!). Training variational "quantum neural networks" is a […] |
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he 9th edition of the Quantum Information in Spain (ICE) conference will be held from the 11th to the 15th of November 2024 at Puerto de la Cruz (Tenerife). ICE is the annual meeting of the Spanish Network on Quantum Information (RITCE) which brings together national and international researchers working on quantum computing, quantum communications, quantum metrology, quantum […] |
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Speaker: Marco Cerezo Title: Is Quantum Machine Learning an ill-defined framework? Abstract: In this talk we will discuss some our recent results regarding the trainability and classical simulability of Quantum Machine Learning (QML). Despite the initial hype, it has been shown that many QML models can exhibit critical issues such as barren plateaus, and exceeding […] |
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