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DTSTART;TZID=Europe/Madrid:20241105T160000
DTEND;TZID=Europe/Madrid:20241105T170000
DTSTAMP:20260604T060807
CREATED:20241023T100614Z
LAST-MODIFIED:20241023T100614Z
UID:1041-1730822400-1730826000@www.talentq.es
SUMMARY:TalentQ Seminar - Maria Schuld
DESCRIPTION:Title: But why would we use quantum computers after all? Approaching Quantum Machine Learning a little differently \nAbstract: 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 matter of a few lines of code\, but you need to be careful not to be dequantized\, and the results are a little disappointing. We all hope that things look better for «quantum data». And a lot has been written about barren plateaus. But why\, on earth\, should we use quantum computers for machine learning at all? It seems that we have not come any closer to answering this question. In this informal talk based on arXiv2409.00172\, I suggest a slightly different approach to QML: One where we stare hard at a famous family of quantum algorithms\, try to understand why they work (not when they are faster) and muse how this could be turned into a learning principle. Expect no speedup and no end-to-end learning algorithm\, but a lot of educated speculation. \nRegistration: https://events.teams.microsoft.com/event/d34819e1-3e2b-411d-87dc-a98bd8607793@8f0d452c-b7a4-4964-b810-8c397374477b
URL:https://www.talentq.es/es_es/evento/talentq-seminar-maria-schuld/
ATTACH;FMTTYPE=image/png:https://www.talentq.es/wp-content/uploads/2024/10/MS_QS_Colloquia.psd.png
ORGANIZER;CN="TalentQ":MAILTO:javier.bouzas.arufe@usc.es
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DTSTART;VALUE=DATE:20241111
DTEND;VALUE=DATE:20241116
DTSTAMP:20260604T060807
CREATED:20240911T085430Z
LAST-MODIFIED:20240911T085430Z
UID:949-1731283200-1731715199@www.talentq.es
SUMMARY:ICE-9
DESCRIPTION: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). \nICE 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 thermodynamics\, and other areas of quantum science and technologies. In particular\, the meeting aims to provide a platform to increase the visibility of early-career researchers. \nICE 9 is organised by the Dept. of Physics of the University of La Laguna (ULL)\, IUdEA and QSpain. The event is partly funded by the European Union in the framework of Horizon Europe Program GA#101059999.
URL:https://www.talentq.es/es_es/evento/ice-9/
LOCATION:Puerto de la Cruz\, Puerto de la Cruz\, Tenerife\, Spain
ATTACH;FMTTYPE=image/jpeg:https://www.talentq.es/wp-content/uploads/2024/09/header_ice_12-scaled.jpeg
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DTSTART;TZID=Europe/Madrid:20241119T160000
DTEND;TZID=Europe/Madrid:20241119T170000
DTSTAMP:20260604T060807
CREATED:20241108T105840Z
LAST-MODIFIED:20241108T110032Z
UID:1053-1732032000-1732035600@www.talentq.es
SUMMARY:TalentQ Seminar - Marco Cerezo
DESCRIPTION:Speaker: Marco Cerezo \nTitle: Is Quantum Machine Learning an ill-defined framework? \nAbstract: 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 local minima in their training landscapes. More importantly\, it has been recently pointed out that models which are barren plateau-free\, could also be potentially classically simulated. As such\, we will discuss the possibility that the QML framework could be ill-defined. \nRegistration: https://events.teams.microsoft.com/event/3e5cd889-69ba-407e-a01d-348e64e2def7@8f0d452c-b7a4-4964-b810-8c397374477b/registration
URL:https://www.talentq.es/es_es/evento/talentq-seminar-marco-cerezo/
LOCATION:Online
ATTACH;FMTTYPE=image/png:https://www.talentq.es/wp-content/uploads/2024/11/MC_QS_Research-Seminar.psd.png
ORGANIZER;CN="TalentQ":MAILTO:javier.bouzas.arufe@usc.es
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