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[Fizinfo] Dries Sels on inference and sampling on quantum computers


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  • From: Andras Palyi <palyi AT mail.bme.hu>
  • To: FIZINFO AT lists.kfki.hu
  • Subject: [Fizinfo] Dries Sels on inference and sampling on quantum computers
  • Date: Thu, 25 Mar 2021 15:44:37 +0100

Dear Colleagues,

The BME Exotic Quantum Phases seminar continues with this talk:

Dries Sels (New York University & Flatiron Institute)
Enhanced inference and sampling on current quantum computers

Monday, Mar 29, 14:15 Budapest time, online in Teams.

Abstract: Remarkable progress has been made in increasing the complexity of
quantum devices and improving their quality. Surprisingly, one of the central
challenges for quantum technologies, is the search for useful applications of
current quantum machines. In this talk, I will discuss how one can achieve
robust quantum speedup in solving statistical inference problems by combining
methods from classical machine learning and quantum computing. I will focus
on two problems in particular: (i) model inference for nuclear magnetic
resonance (NMR) spectroscopy, which is important for biological and medical
research and (ii) Monte Carlo sampling, which forms the computational basis
for unbiased Bayesian inference.

Link to join the talk in Teams:
https://teams.microsoft.com/l/meetup-join/19%3a98c537f3ff3a433983cc04579e4603af%40thread.tacv2/1616683264487?context=%7b%22Tid%22%3a%226a3548ab-7570-4271-91a8-58da00697029%22%2c%22Oid%22%3a%22f8b27e90-dbca-4bb5-813c-d6415577ec35%22%7d

Best regards,
Andras Palyi




  • [Fizinfo] Dries Sels on inference and sampling on quantum computers, Andras Palyi, 03/25/2021

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