BEGIN:VCALENDAR VERSION:2.0 X-WR-CALNAME:EventsCalendar PRODID:-//hacksw/handcal//NONSGML v1.0//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York LAST-MODIFIED:20240422T053451Z TZURL:https://www.tzurl.org/zoneinfo-outlook/America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT CATEGORIES:College of Engineering,Thesis/Dissertations DESCRIPTION:Thesis Advisor: Dr. David Kagan, Physics DepartmentÌýCommittee Members: Dr. Ashok Patel, Computer & Information Science/Data ScienceDr. D onghui Yan, Mathematics Department/Data ScienceÌýAbstract: This talk provi des an overview of quantum computing, with a focus on superconducting qubi ts and quantum error correction. We begin with the motivation for quantum computing and its core principles — superposition and entanglement — b efore discussing the superconducting hardware used at organisations such a s Google and IBM. Central to this hardware is the Josephson junction, whic h enables the creation of an anharmonic quantum system that can be control led as a qubit. We cover the transmon qubit design and explain the quantum harmonic oscillator model and its role in superconducting qubit design. T he talk then addresses quantum error correction and the surface code — a leading approach to achieving fault-tolerant quantum computing that requi res only nearest-neighbour interactions and has a noise threshold within r each of current hardware. We present simulations of a distance-3 surface c ode coded and run by the author using IBM’s Qiskit AerSimulator.ÌýFor fu rther information please contact Dr. David Kagan at david.kagan@umassd.edu .ÌýÌýData Science Graduate students are encouraged to attend. Ìý\nEvent pa ge: /events/cms/quantum-computing-with-superconducti ng-qubits.php\nEvent link: https://umassd.zoom.us/j/95264832274?pwd=dHFwVF ZCVTNWWUlEck5HdVFNUDVJdz09 X-ALT-DESC;FMTTYPE=text/html:

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Thesis Advisor: Dr. David Kagan \, Physics Department
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Committee Members:

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Dr. Ashok Pa tel\, Computer & Information Science/Data Science
Dr. Donghui Yan\, M athematics Department/Data Science
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Abstract: This talk provid es an overview of quantum computing\, with a focus on superconducting qubi ts and quantum error correction. We begin with the motivation for quantum computing and its core principles — superposition and entanglement — b efore discussing the superconducting hardware used at organisations such a s Google and IBM. Central to this hardware is the Josephson junction\, whi ch enables the creation of an anharmonic quantum system that can be contro lled as a qubit. We cover the transmon qubit design and explain the quantu m harmonic oscillator model and its role in superconducting qubit design. The talk then addresses quantum error correction and the surface code — a leading approach to achieving fault-tolerant quantum computing that requ ires only nearest-neighbour interactions and has a noise threshold within reach of current hardware. We present simulations of a distance-3 surface code coded and run by the author using IBM’s Qiskit AerSimulator.
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For further information please contact Dr. David Kagan at david.ka gan@umassd.edu.Ìý
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Data Science Graduate students are encourag ed to attend. Ìý

Event page: https://www.umassd. edu/events/cms/quantum-computing-with-superconducting-qubits.php
Ev ent link:

DTSTAMP:20260519T072229 DTSTART;TZID=America/New_York:20260519T160000 DTEND;TZID=America/New_York:20260519T170000 LOCATION:Dion 311 and Zoom SUMMARY;LANGUAGE=en-us:Quantum Computing with Superconducting Qubits UID:265fb1d25ba321474fffcf8b30e09932@www.umassd.edu END:VEVENT END:VCALENDAR