BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251030T043750Z UID:2E764A9D-C8BF-44B7-AD7F-BC84518C4228 DTSTART;TZID=America/Los_Angeles:20251013T104000 DTEND;TZID=America/Los_Angeles:20251013T234500 DESCRIPTION:Abstract\n\nQuantum Computing\, having the ability to exponenti ally enhance the raw computing power\, and Artificial Intelligence (AI)\, having the ability to impart unprecedented intelligence to connected devic es through algorithms that learn\, are the two key technologies of the 21s t century. Although novel devices can significantly advance the field of q uantum computing\, conventional CMOS based analog and mixed signal circuit s can enable quantum computing using classical op amp based circuits. AI a lgorithms on the other hand are tolerant to errors in computation\, thereb y enabling approximate and low-precision computing which has resulted in t he resurrection of more than half-a-century old analog computing.\n\nThis talk would present various analog computing techniques that could enable A I algorithms or more specifically machine learning (ML) algorithms. The ta lk could also delve into mixed-sginal computing where it will dive into th e details of in-memory computing as well as adoption of novel memory devic es\, viz.\, memristors\, to enable energy efficient computing. The talk wo uld also present some classical analog hardware for emulating quantum algo rithms\, like Grover's search algorithm\, for quantum computing systems.\n \nSpeaker(s): \, Bibhu \n\nAgenda: \nDate and Time\n\nDate: Monday\, Octob er 13\nTime: 10:40 AM – 11:45 AM\n\nLocation\n\nPlace: E2-192\, UC Santa Cruz\n\nSanta Cruz\, California\, USA\n\nRoom: 192\, Bldg: E2\, Universit y of California\, Santa Cruz\, Santa Cruz\, California\, United States\, V irtual: https://events.vtools.ieee.org/m/506455 LOCATION:Room: 192\, Bldg: E2\, University of California\, Santa Cruz\, San ta Cruz\, California\, United States\, Virtual: https://events.vtools.ieee .org/m/506455 ORGANIZER:hongbriand@gmail.com SEQUENCE:37 SUMMARY:Analog and Mixed Signal Circuits and Systems for Emerging Applicati ons URL;VALUE=URI:https://events.vtools.ieee.org/m/506455 X-ALT-DESC:Description: <br /><div>Abstract</div>\n<div>\n<p>Quantum Comput ing\, having the ability to exponentially enhance the raw computing power\ , and Artificial Intelligence (AI)\, having the ability to impart unpreced ented intelligence to connected devices through algorithms that learn\, ar e the two key technologies of the 21st century. Although novel devices can significantly advance the field of quantum computing\, conventional CMOS based analog and mixed signal circuits can enable quantum computing using classical op amp based circuits. AI algorithms on the other hand are toler ant to errors in computation\, thereby enabling approximate and low-precis ion computing which has resulted in the resurrection of more than half-a-c entury old analog computing.</p>\n<p>This talk would present various analo g computing techniques that could enable AI algorithms or more specificall y machine learning (ML) algorithms. The talk could also delve into mixed-s ginal computing where it will dive into the details of in-memory computing as well as adoption of novel memory devices\, viz.\, memristors\, to enab le energy efficient computing. The talk would also present some classical analog hardware for emulating quantum algorithms\, like Grover's search al gorithm\, for quantum computing systems.</p>\n</div><br /><br />Agenda: <b r /><h3>Date and Time</h3>\n<p>&nbsp\;</p>\n<p>Date: Monday\, October 13<b r>Time: 10:40 AM &ndash\; 11:45 AM</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<h 3>Location</h3>\n<p><br>Place: E2-192\, UC Santa Cruz</p>\n<p>Santa Cruz\, California\, USA</p> END:VEVENT END:VCALENDAR