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SUMMARY:QSE Quantum Seminar: Efficient device optimization through GPU-acc
 elerated simulations and automatic differentiation
DTSTART:20241010T120000
DTEND:20241010T133000
DTSTAMP:20260525T161942Z
UID:1428a780c7174c8177e6cf3b7caf09391cba1e3529a72e1907ff4301
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Momchil Minkov\nPlease join us for the QSE Center Quantu
 m Seminar with Dr Momchil Minkov from Flexcompute Inc.\, who will give
  the talk "Efficient device optimization through GPU-accelerated simulati
 ons and automatic differentiation" on Thursday October 10. \nLocation: B
 S 270.\n\nPizzas will be available before the seminar at 12:00. All PhDs\
 , postdocs\, students\, and PIs are welcome to join us.\n\nTITLE: Efficie
 nt device optimization through GPU-accelerated simulations and automatic d
 ifferentiation\n\nABTRACT: We discuss the advantages of hardware accelera
 tion of the finite-difference time-domain method of solving Maxwell's equa
 tions and show examples of photonic inverse design enhanced by GPU-acceler
 ated simulations and automatic differentiation. Inverse design generally r
 efers to the use of efficient optimization methods to explore a large spac
 e of tunable parameters and create devices that vastly outperform conventi
 onal designs. This approach has been popular in academia in the last few 
 decades\, but has also recently gained traction in industry applications d
 ue to demonstrations of devices that are significantly smaller and/or more
  efficient than their traditional counterparts. GPU-accelerated inverse de
 sign is poised to play a major role in the future generations of devices f
 or e.g. telecommunications\, and will likely also prove crucial both for p
 hotonic quantum computing and for enabling technologies in other quantum c
 omputing paradigms\, like photonic interconnects\, due to the fact that qu
 antum photonic devices have extremely tight requirements on performance an
 d acceptable losses.\n\nBIO: Momchil Minkov is the Director of the Tidy3D
  solver at Flexcompute Inc.\, leading the development of the company’s h
 igh-performance\, hardware-accelerated FDTD solver. Previously he complete
 d his PhD at EPFL\, Switzerland\, and a postdoctoral fellowship at Stanfor
 d University\, where he worked on various topics in computational electrom
 agnetism and optimization of photonic devices. 
LOCATION:BS 270 https://plan.epfl.ch/?room==BS%20270
STATUS:CONFIRMED
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