BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//IBM Quantum Innovation Center at NC State - ECPv6.15.19//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:IBM Quantum Innovation Center at NC State
X-ORIGINAL-URL:https://quantum.ncsu.edu/ibm-quantum
X-WR-CALDESC:Events for IBM Quantum Innovation Center at NC State
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220415T140000
DTEND;TZID=America/New_York:20220415T150000
DTSTAMP:20260429T132955
CREATED:20220401T200742Z
LAST-MODIFIED:20220401T200742Z
UID:1548-1650031200-1650034800@quantum.ncsu.edu
SUMMARY:Triangle Quantum Computing Seminar
DESCRIPTION:Join Today’s Duke\, NC State and UNC collaborative Triangle Quantum Computing Seminar \nTalk Title:  NISQ-HHL: Portfolio Optimization for Near-Term Quantum Hardware \nSpeaker: Dylan Herman \nHosted by:  UNC Kenan-Flagler Rethinc. Labs \nAbstract:  Portfolio optimization is an essential use case in Finance\, but its computational complexity forces financial institutions to resort to approximated solutions\, which are time consuming. Using the method of Lagrange multipliers\, the mean-variance portfolio optimization problem can be represented by a system of linear equations and potentially benefit from the exponential speedup provided by the HHL quantum algorithm. However\, multiple components in HHL are unsuitable for execution on Noisy Intermediate Scale Quantum (NISQ) hardware. This paper introduces NISQ-HHL\, the first hybrid formulation of HHL suitable for the end-to-end execution of small-scale portfolio-optimization problems on NISQ devices. NISQ-HHL extends the hybrid HHL variant with newly available quantum-hardware features: mid-circuit measurement\, qubit reset and reuse\, and Quantum Conditional Logic (QCL). To the best of our knowledge\, NISQ-HHL is the first algorithm incorporating a QCL-enhanced version of Phase Estimation executed on real hardware\, the trapped-ion Quantinuum System Model H1-1. In addition\, NISQ-HHL includes a novel method for choosing the optimal evolution time for Hamiltonian simulation. Although this paper focuses on portfolio optimization\, the techniques it proposes to make HHL more scalable are generally applicable to any problem that can be solved via HHL in the NISQ era. \n  \nThis is a Hybrid Event with NC State. \nThe In Person location for NC State is Venture Place\, 2nd Floor\, Large Classroom. \nREGISTRATION: Form Link  \nFor more information email:  quantumcomputing@ncsu.edu \n 
URL:https://quantum.ncsu.edu/ibm-quantum/event/triangle-quantum-computing-seminar-4/
END:VEVENT
END:VCALENDAR