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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:2
UID:UW-Physics-Event-9449
DTSTART:20251027T190000Z
DTEND:20251027T210000Z
DTSTAMP:20260413T084046Z
LAST-MODIFIED:20251021T145244Z
LOCATION:B343 Sterling or https://uwmadison.zoom.us/j/95441265390?pwd=
 eWvoxqNOc2R2I3Z2xadXz7mmtXMDCM.1
SUMMARY:Scalable autotuning of high-temperature quantum dot spin qubit
 s\, Preliminary Exam\, Tyler Kovach
DESCRIPTION:Developing automatic\, scalable hardware control is a univ
 ersal challenge when assembling the physical qubit layer of a large qu
 antum computer. For quantum dot spin qubits—a semiconductor-based pl
 atform notable for its high device tunability and its compact size—o
 ne key hurdle arises from device non-uniformity. An example of this no
 n-uniformity is the trapped charges in the device’s oxide layers\, w
 hich induce offset voltage shifts on gate electrodes. These unknown of
 fsets need to be accounted for and calibrated away before any qubits a
 re formed. In this talk\, I will introduce a streamlined\, five-step p
 hysically intuitive algorithm for initializing and bootstrapping these
  devices\, allowing for fully autonomous calibration and characterizat
 ion. Next\, I will demonstrate this methodology experimentally at a hi
 gh temperature of 1.3K using our in-house developed automatic tuning s
 ystem\, BATIS (Bootstrapping Autonomously Testing Initialization Syste
 m)\, to configure a four quantum dot Si/SiGe hetero-structure device. 
 Finally\, I will discuss our on-going development of FAlCon (Framework
  for Algorithmic Control)\, a soon-to-be open-source software platform
  designed to facilitate the design\, deployment\, sharing\, and testin
 g of quantum dot tuning algorithms. FAlCon’s platform-agnostic archi
 tecture addresses a critical bottleneck in quantum dot scalability\, p
 aving the way for the broader implementation of large quantum dot arra
 ys.
URL:https://www.physics.wisc.edu/events/?id=9449
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