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DTSTART:20260329T030000
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DTSTAMP:20260517T072058Z
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DTSTART;TZID=Europe/Berlin:20260512T160000
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DESCRIPTION:Electromagnetic Compatibility Distinguished Lecturer Talk by Pr
 of. Qi-jun Zhang (Carleton University\, Canada)\n\nQuantum Computing for M
 achine Learning\, Electromagnetic Simulation and Applications to EMC Analy
 sis\n\nAbstract: Quantum computing attracts increasing attention from the 
 computation community in recent years. In certain cases\, quantum algorith
 ms has the potential of exponential speedups over their classical counterp
 arts running on classical computers. Quantum computing opens many new oppo
 rtunities for solving large-scale problems\, and simulating complex physic
 al systems. In this talk\, we explore quantum computing for AI/machine lea
 rning oriented computations\, and application of quantum computing in solv
 ing electromagnetic problems. Preliminary exploration of quantum computing
  for solving electromagnetic field simulation problems have been conducted
  by researchers\, using such as Transmission Line Matrix (TLM)\, Method of
  Moments (MoM) and Finite-Element Method (FEM) formulations. We present tw
 o types of quantum computing approaches for electromagnetic simulation\, o
 ne is a complete quantum computing approach\, utilizing Harrow–Hassidim
 –Lloyd (HHL) algorithm\; another one is a hybrid classical/quantum compu
 ting approach utilizing Variational Quantum Algorithm (VQA). New formulati
 ons of electromagnetic equations such as FEM equations\, into quantum-comp
 atible format will be described. Methods to prepare electromagnetic field 
 excitation vectors into quantum states will be described. Methods to deter
 mine various hyperparameters in quantum computing based electromagnetic si
 mulation will be described. Potential applications for EMC analysis will b
 e explored.\n\nSpeaker(s): \, Qi-Jun Zhang\n\nRoom: Room 0053/54\, Bldg: W
 ikom\, inside building I\, Denickestraße 22\, Hamburg\, Hamburg\, Germany
 \,  21073\, Virtual: https://events.vtools.ieee.org/m/558676
LOCATION:Room: Room 0053/54\, Bldg: Wikom\, inside building I\, Denickestra
 ße 22\, Hamburg\, Hamburg\, Germany\,  21073\, Virtual: https://events.vt
 ools.ieee.org/m/558676
ORGANIZER:cheng.yang@tuhh.de
SEQUENCE:11
SUMMARY:EMC Distinguished Lecture Prof. Qi-Jun Zhang at Hamburg University 
 of Technology
URL;VALUE=URI:https://events.vtools.ieee.org/m/558676
X-ALT-DESC:Description: <br /><p>Electromagnetic Compatibility Distinguishe
 d Lecturer Talk by Prof. Qi-jun Zhang (Carleton University\, Canada)</p>\n
 <p><em>Quantum Computing for Machine Learning\, Electromagnetic Simulation
  and Applications to EMC Analysis</em></p>\n<p><strong>Abstract:</strong> 
 Quantum computing attracts increasing attention from the computation commu
 nity in recent years. In certain cases\, quantum algorithms has the potent
 ial of exponential speedups over their classical counterparts running on c
 lassical computers. Quantum computing opens many new opportunities for sol
 ving large-scale problems\, and simulating complex physical systems. In th
 is talk\, we explore quantum computing for AI/machine learning oriented co
 mputations\, and application of quantum computing in solving electromagnet
 ic problems. Preliminary exploration of quantum computing for solving elec
 tromagnetic field simulation problems have been conducted by researchers\,
  using such as Transmission Line Matrix (TLM)\, Method of Moments (MoM) an
 d Finite-Element Method (FEM) formulations. We present two types of quantu
 m computing approaches for electromagnetic simulation\, one is a complete 
 quantum computing approach\, utilizing Harrow&ndash\;Hassidim&ndash\;Lloyd
  (HHL) algorithm\; another one is a hybrid classical/quantum computing app
 roach utilizing Variational Quantum Algorithm (VQA). New formulations of e
 lectromagnetic equations such as FEM equations\, into quantum-compatible f
 ormat will be described. Methods to prepare electromagnetic field excitati
 on vectors into quantum states will be described. Methods to determine var
 ious hyperparameters in quantum computing based electromagnetic simulation
  will be described. Potential applications for EMC analysis will be explor
 ed.</p>
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