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[Eic-comp-l] AI/ML Working Group Seminar: Yen-Chi (Sam) Chen, Tuesday, March 1, 2022 at 12PM ET
- From: Jerome LAURET <jeromel AT bnl.gov>
- To: EIC computing joint activities <eic-comp-l AT lists.bnl.gov>
- Subject: [Eic-comp-l] AI/ML Working Group Seminar: Yen-Chi (Sam) Chen, Tuesday, March 1, 2022 at 12PM ET
- Date: Mon, 28 Feb 2022 10:40:08 -0500
*_AI/ML Working Group Seminar_*__
*Time/Date: *12:00 PM ET, Tuesday, March 1^st , 2022
*Seminar Speaker:* Yen-Chi (Sam) Chen, CSI, Brookhaven National Laboratory
*Title:*When reinforcement learning meets quantum computing
*Abstract: *Recently, reinforcement learning (RL) has demonstrated various applications with superhuman performance such as mastering the game of Go. Meanwhile, the development of quantum computing hardware shed light on building practical quantum applications to tackle previously unsolved problems. What will happen if we combine these two fascinating techniques? In this talk, I will present the recent progress in quantum RL as well as using classical RL to help certain tasks in quantum computing.
*Host:*Meifeng Lin, Computational Science Initiative
_______________________________________________
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BEGIN:VCALENDAR METHOD:REQUEST PRODID:Microsoft Exchange Server 2010 VERSION:2.0 BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16010101T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=1SU;BYMONTH=11 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010101T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=2SU;BYMONTH=3 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT ORGANIZER;CN="Medaglia, Nicole":mailto:medaglia AT bnl.gov ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=CSIBNL:ma ilto:csibnl AT bnl.gov ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=Physics P ersonnel:mailto:PhysicsPersonnel AT bnl.gov ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=CFN Staff (Group):mailto:allnanomaterials AT bnl.gov ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=CMPMSD:ma ilto:cmpmsd AT bnl.gov ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=Environme ntal & Climate Sciences Dept:mailto:eslist AT bnl.gov ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=CO Scient ific Staff:mailto:coscistf AT bnl.gov ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=NSLS-II P ersonnel:mailto:allPhotonSciences AT bnl.gov ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=Energy Sc iences Directorate:mailto:EnergySciencesDirectorate AT bnl.gov ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=EBNN Dire ctorate:mailto:EBNNDirectorate AT bnl.gov ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=Instrumen tation Personnel:mailto:allinstrument AT bnl.gov ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=aiml-wg-l @lists.bnl.gov:mailto:aiml-wg-l AT lists.bnl.gov ATTACH:CID:DD50C971E9D2C14D9E7CCC24530185E0 AT namprd09.prod.outlook.com DESCRIPTION;LANGUAGE=en-US:AI/ML Working Group Seminar\n\nTime/Date: 12:00 PM ET\, Tuesday\, March 1st\, 2022\n\nSeminar Speaker: Yen-Chi (Sam) Chen\ , CSI\, Brookhaven National Laboratory\n\nTitle: When reinforcement learni ng meets quantum computing\nAbstract: Recently\, reinforcement learning (R L) has demonstrated various applications with superhuman performance such as mastering the game of Go. Meanwhile\, the development of quantum compu ting hardware shed light on building practical quantum applications to tac kle previously unsolved problems. What will happen if we combine these two fascinating techniques? In this talk\, I will present the recent progress in quantum RL as well as using classical RL to help certain tasks in quan tum computing.\n\nHost: Meifeng Lin\, Computational Science Initiative\n\n _______________________________________________\n\nNicole Medaglia is invi ting you to a scheduled ZoomGov meeting.\n\nJoin ZoomGov Meeting\nhttps:// bnl.zoomgov.com/j/1619877909?pwd=T041dGl4SURUK0Mwbmp0b1QvVjVtZz09\n\nMeeti ng ID: 161 987 7909\nPasscode: 338057\nOne tap mobile\n+16692545252\,\,161 9877909#\,\,\,\,*338057# US (San Jose)\n+16468287666\,\,1619877909#\,\,\,\ ,*338057# US (New York)\n\nDial by your location\n +1 669 254 5252 US (San Jose)\n +1 646 828 7666 US (New York)\n +1 669 216 1 590 US (San Jose)\n +1 551 285 1373 US\nMeeting ID: 161 987 7909\nP asscode: 338057\nFind your local number: https://bnl.zoomgov.com/u/abMDS0z juq\n\nJoin by SIP\n1619877909 AT sip.zoomgov.com<mailto:1619877909 AT sip.zoomg ov.com>\n\nJoin by H.323\n161.199.138.10 (US West)\n161.199.136.10 (US Eas t)\nMeeting ID: 161 987 7909\nPasscode: 338057\n\n\n UID:040000008200E00074C5B7101A82E00800000000900367387429D801000000000000000 01000000068A963F275A1764EB07FD8E55EC969F4 SUMMARY;LANGUAGE=en-US:AI/ML Working Group Seminar: Yen-Chi (Sam) Chen\, Tu esday\, March 1\, 2022 at 12PM ET DTSTART;TZID=Eastern Standard Time:20220301T120000 DTEND;TZID=Eastern Standard Time:20220301T130000 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20220224T200332Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:1 LOCATION;LANGUAGE=en-US:https://bnl.zoomgov.com/j/1619877909?pwd=T041dGl4SU RUK0Mwbmp0b1QvVjVtZz09 X-MICROSOFT-CDO-APPT-SEQUENCE:1 X-MICROSOFT-CDO-OWNERAPPTID:-724031514 X-MICROSOFT-CDO-BUSYSTATUS:TENTATIVE X-MICROSOFT-CDO-INTENDEDSTATUS:BUSY X-MICROSOFT-CDO-ALLDAYEVENT:FALSE X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-CDO-INSTTYPE:0 X-MICROSOFT-DONOTFORWARDMEETING:FALSE X-MICROSOFT-DISALLOW-COUNTER:TRUE X-MICROSOFT-LOCATIONS:[{"DisplayName":"https://bnl.zoomgov.com/j/1619877909 ?pwd=T041dGl4SURUK0Mwbmp0b1QvVjVtZz09 "\,"LocationAnnotation":""\,"Locatio nUri":""\,"LocationStreet":""\,"LocationCity":""\,"LocationState":""\,"Loc ationCountry":""\,"LocationPostalCode":""\,"LocationFullAddress":""}] BEGIN:VALARM DESCRIPTION:REMINDER TRIGGER;RELATED=START:-PT15M ACTION:DISPLAY END:VALARM END:VEVENT END:VCALENDAR
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- [Eic-comp-l] AI/ML Working Group Seminar: Yen-Chi (Sam) Chen, Tuesday, March 1, 2022 at 12PM ET, Jerome LAURET, 02/28/2022
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