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SUMMARY:Quantum supremacy and quantum machine learning with analog quantum
  simulators - Dimitris Angelakis (Singapore Centre for Quantum Technologie
 s)
DTSTART:20211112T110000Z
DTEND:20211112T120000Z
UID:TALK163036@talks.cam.ac.uk
CONTACT:40340
DESCRIPTION:I will start with a general introduction on quantum simulation
  and computation with near term processors\, the state of the art and the 
 current race for building operational quantum processors. I will then revi
 ew our work with Google on quantum simulations with superconducting qubits
  [1] and as well as our recent works in analog quantum supremacy [2] and q
 uantum machine learning [3] with NISQ devices. If time\, I will briefly su
 mmarise our work on qubit efficient quadratic optimization algorithms [4].
  The first part of the talk should be accessible to non-specialists.\n\n\n
 [1]Spectral signatures of many-body localization with interacting photons\
 nP. Roushan\, C. Neill\, ...D.G. Angelakis\, and J. Martinis. Science\, 01
  Dec 2017: Vol. 358\, Issue 6367\, (2017)\n\n[2]  Quantum supremacy and qu
 antum phase transitions\nJ. Tangpanitanon\, S. Thanasilp\, M. A. Lemonde\,
  N. Dangiam\, D. G. Angelakis\nPhys. Rev. B 103\, 165132 (2021) \n\n[3] Ex
 pressibility and trainability of parameterized analog quantum systems for 
 machine learning applications\nJ. Tangpanitanon\, S. Thanasilp\, M. A. Lem
 onde\, N. Dangiam\, D. G. Angelakis\nPhys. Rev. Research 2\, 043364 2020\n
 \n[4] Qubit efficient algorithms for binary optimization problems\nB. Tan\
 , M. A. Lemonde\, S. Thanasilp\, J. Tangpanitanon\, D. G. Angelakis\nQuant
 um 5\, 454 (2021) ]\n\n\n\nWhere: Virtually on Zoom https://us02web.zoom.u
 s/j/88908652048?pwd=MDV3N3k0YnNWMlhKOEk1NDZlUEtaUT09\n
LOCATION:Virtually\, at Zoom
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