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UID:UW-Physics-Event-9331
DTSTART:20250711T160000Z
DTEND:20250711T173000Z
DTSTAMP:20260413T102624Z
LAST-MODIFIED:20250710T144134Z
LOCATION:5280 Chamberlin Hall
SUMMARY:Quantum Sources and Detectors for Quantum Information\, Atomic
  Physics Seminar\, Amr Hossameldin \, University of Virginia
DESCRIPTION:Quantum computing offers the potential to solve complex pr
 oblems beyond the reach of classical systems\, with applications in cr
 yptography\, optimization\, and scientific simulation. Photonic contin
 uous-variable (CV) quantum computing harnesses light’s properties to
  enable scalable\, fault-tolerant quantum computation. In this talk I 
 cover my contributions to this field through developing high performin
 g optical parametric oscillators (OPOs) and photon-number-resolving de
 tectors (PNRDs). These efforts improve the generation and detection of
  quantum states\, providing practical tools for quantum information pr
 ocessing.<br>\n<br>\nI discuss two triply resonant optical parametric 
 oscillators I built: a nondegenerate design which demonstrated 6 dB ga
 in and a degenerate one achieving 24 dB gain—demonstrating strong po
 tential for record quantum squeezing as the squeezing record is 15 dB.
  These OPOs are sources of two-mode squeezed states\, entangled photon
  pairs\, and CV cluster states\, supporting measurement-based quantum 
 computing (MBQC) and related applications. <br>\n<br>\nAs for PNRDs\, 
 I significantly enhanced the photon number resolution of the supercond
 ucting transition edge sensor (TES) system in our lab\, increasing it 
 from 8 to 37 photons per channel\, enabling the resolution of up to 10
 0 photons setting a new record up from the previous record of 16. PNR 
 detectors enable numerous applications\, of which I cover a quantum ra
 ndom number generator which I experimentally demonstrated.<br>\n<br>\n
 Together\, the high-gain OPOs and refined TES bolster photonic CV quan
 tum computing\, by paving the way for cubic phase gate realization and
  by extension universal CV quantum computing.<br>\n
URL:https://www.physics.wisc.edu/events/?id=9331
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