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DTSTART:20250330T030000
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BEGIN:VEVENT
DTSTAMP:20260424T142959Z
UID:1748336400@ist.ac.at
DTSTART:20250527T110000
DTEND:20250527T120000
DESCRIPTION:Speaker: Jeroen Danon\nhosted by Maksym Serbyn\nAbstract: Abstr
 act: In this talk\, I will present some progress we made in developing ada
 ptive Bayesian techniques tailored for estimating slowly fluctuating Hamil
 tonian parameters. Taking the capabilities of state-of-the-art FPGA-based 
 control hardware as a boundary condition\, we explore strategies for effic
 ient Hamiltonian estimation\, including the potential use of on-chip neura
 l networks and taking into account the physics of the fluctuating paramete
 rs. The simplified adaptive scheme we develop is memory efficient and can 
 bring more than an order of magnitude improvement in estimation accuracy c
 ompared to the standard approach. We also made the first steps in using su
 ch Bayesian estimation protocols in experiment to track the slowly fluctua
 ting Overhauser gradient in singlet-triplet spin qubits\, showing indeed c
 lear improvement in estimation quality when using adaptive and physics-inf
 ormed methods. 
LOCATION:Office Building West/Ground Floor/Heinzel Seminar Room\, ISTA
ORGANIZER:Stephanie.Dolot@ist.ac.at
SUMMARY:Jeroen Danon: Hamiltonian estimation in semiconductor spin qubits
URL:https://talks-calendar.ista.ac.at/events/5561
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