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SUMMARY:Resource estimation and optimization to accelerate progress toward
 s quantum advantage - Dr Prakash Murali - Department of Computer Science a
 nd Technology\, University of Cambridge
DTSTART:20251203T150500Z
DTEND:20251203T155500Z
UID:TALK237229@talks.cam.ac.uk
CONTACT:Ben Karniely
DESCRIPTION:Quantum computing hardware is rapidly evolving\, with today’
 s systems offering between 100 and 5000 qubits depending on the underlying
  technology. However\, there is a large gap between the resource requireme
 nts of useful quantum applications and hardware capacity. In this talk\, w
 e will present a resource estimation framework for understanding the qubit
  and runtime requirements of practically useful quantum applications. This
  framework provides a full-stack approach to model the quantum stack and o
 ffers lessons for choosing the appropriate type of qubits and error correc
 tion that can enable scalable computations. Building on this\, we will dis
 cuss 1) how resource estimation can answer key questions in architecture d
 esign\, particularly around system needs for distributed quantum computing
 \, 2) resource optimization in the compiler to reduce qubit requirements a
 nd 3) mappings of quantum error correction choices to hardware to inform d
 evice engineering choices.\n\nLink to join virtually: https://cam-ac-uk.zo
 om.us/j/89473073451\n\nA recording of this talk is available at the follow
 ing link: https://www.cl.cam.ac.uk/seminars/wednesday/video/\n\nThis talk 
 is being recorded. If you do not wish to be seen in the recording\, please
  avoid sitting in the front three rows of seats in the lecture theatre. An
 y questions asked will also be included in the recording. The recording wi
 ll be made available on the Department’s webpage
LOCATION:Lecture Theatre 1\, Computer Laboratory\, William Gates Building
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