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DTSTAMP:20251027T132540Z
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DTSTART;TZID=US/Eastern:20251021T180000
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DESCRIPTION:Hybrid Quantum Optimization for Energy Systems: From Quantum Dy
 namics to Practical Applications\n\nIn this talk\, we explore quantum opti
 mization algorithms through the lens of quantum dynamics\, with a focus on
  their application to practical challenges in energy management systems. W
 e will highlight how quantum techniques—such as adiabatic evolution and 
 Quantum Hamiltonian Descent—can be integrated with classical optimizatio
 n frameworks to enhance decision-making in complex energy system operation
 s. The talk will also introduce accessible quantum optimization software p
 latforms that support hybrid quantum-classical workflows\, enabling users 
 with limited quantum expertise to model and solve energy optimization prob
 lems.\n\nSpeaker(s): Lei Fan\n\nAgenda: \nPDH certificates are available a
 nd an evaluation form will be emailed to you after the meeting. PDH certif
 icate are sent by IEEE USA 3-4 weeks after the meeting.\n\nRoom: 102\, Bld
 g: Temple University College of Engineering\, 1947 N. 12th Street\, Philad
 elphia\, Pennsylvania\, United States\, 19122
LOCATION:Room: 102\, Bldg: Temple University College of Engineering\, 1947 
 N. 12th Street\, Philadelphia\, Pennsylvania\, United States\, 19122
ORGANIZER:ieee@gpamg.org
SEQUENCE:47
SUMMARY:Hybrid Quantum Optimization for Energy Systems: From Quantum Dynami
 cs to Practical Applications
URL;VALUE=URI:https://events.vtools.ieee.org/m/493727
X-ALT-DESC:Description: <br /><p style="text-align: left\;" align="center">
 <span style="font-size: 14pt\;"><strong>Hybrid Quantum Optimization for En
 ergy Systems: From Quantum Dynamics to Practical Applications</strong></sp
 an></p>\n<p class="MsoNormal">In this talk\, we explore quantum optimizati
 on algorithms through the lens of quantum dynamics\, with a focus on their
  application to practical challenges in energy management systems. We will
  highlight how quantum techniques&mdash\;such as adiabatic evolution and Q
 uantum Hamiltonian Descent&mdash\;can be integrated with classical optimiz
 ation frameworks to enhance decision-making in complex energy system opera
 tions. The talk will also introduce accessible quantum optimization softwa
 re platforms that support hybrid quantum-classical workflows\, enabling us
 ers with limited quantum expertise to model and solve energy optimization 
 problems.</p><br /><br />Agenda: <br /><p>PDH certificates are available a
 nd an evaluation form will be emailed to you after the meeting. PDH certif
 icate are sent by IEEE USA 3-4 weeks after the meeting.</p>
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