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DTSTART:19700308T020000
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DTSTAMP:20240626T180033Z
LOCATION:3006\, 3rd Floor
DTSTART;TZID=America/Los_Angeles:20240625T143000
DTEND;TZID=America/Los_Angeles:20240625T150000
UID:dac_DAC 2024_sess177_SPSSN107@linklings.com
SUMMARY:Invited: Challenges and Opportunities of Quantum Optimization in F
 inance
DESCRIPTION:Special Session (Research)\n\nMarco Pistoia (JPMorgan Chase)\n
 \nFinance has been identified as the first industry sector to benefit from
  quantum computing, due to the abundance of use cases with high complexity
  and the fact that, in finance, time is of the essence, which makes the ca
 se for solutions to be computed with high accuracy in real time. Typical u
 se cases in finance that lend themselves to quantum computing are portfoli
 o optimization, derivative pricing, risk analysis, and several problems in
  the realm of machine learning. Specifically, we will focus on the recent 
 progress of quantum optimization algorithms in both the near-term hardware
  and the fault-tolerant realm.\n\nTopic: AI\n\nSession Chair: Gushu Li (Un
 iversity of Pennsylvania)
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