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SUMMARY:William Simon (Tufts University)
DTSTART:20260603T190000Z
DTEND:20260603T200000Z
DTSTAMP:20260525T024855Z
UID:MathPic/150
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MathPic/150/
 ">Quantum Advantage in Resource Estimation</a>\nby William Simon (Tufts Un
 iversity) as part of Mathematical Picture Language Seminar\n\nInteractive 
 livestream: https://harvard.zoom.us/j/779283357\nView-only livestream: htt
 ps://www.youtube.com/channel/UCrlS3CuPlahBp_M46fDaWVw/videos\nLecture held
  in Jefferson 368.\n\nAbstract\nWhen will quantum computers be useful? Res
 ource estimation - the process of determining how many qubits and operatio
 ns are needed to run an algorithm - is central to answering this question.
  Quantum algorithms frequently rely on operations that must be approximate
 d using quantum circuits\, such as the time evolution generated by a Hamil
 tonian. Compiling algorithms into logical qubit and gate requirements nece
 ssitates accurately bounding these simulation errors\; tighter bounds dire
 ctly yield more efficient constructions. Numerical resource estimates are 
 typically produced using classical algorithms that conservatively upper-bo
 und simulation errors\, leading to suboptimal resource estimates. In this 
 talk\, I will argue that accurate resource estimates can be produced using
  quantum algorithms that require few quantum resources. I will detail a sp
 ecific protocol to efficiently compute the Trotter error\, and show how th
 is significantly reduces resource estimates for Trotter-based Quantum Phas
 e Estimation. We will conclude by exploring how resource estimation serves
  as a useful\, near-term application for quantum devices\n
LOCATION:https://researchseminars.org/talk/MathPic/150/
URL:https://harvard.zoom.us/j/779283357
URL:https://www.youtube.com/channel/UCrlS3CuPlahBp_M46fDaWVw/videos
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