Gertrude Scharff-Goldhaber Prize 2021 Ceremony

US/Eastern
hybrid event - zoom and 510 LSR (Universe)

hybrid event - zoom and 510 LSR

Universe

Jessica Gasparik (BNL), Marc-Andre Pleier
Description

Gertrude Scharff-Goldhaber Prize 2021 recipient is SBU doctoral student Yanzhu Chen.

 


https://bnl.zoomgov.com/j/1605020278?pwd=cHJ1bDRuK1FDNnZLSnpxVkZhcDQ3QT09

Meeting ID and passcode are

Meeting ID: 160 502 0278
Passcode: E=mc2

 

    • 1
      Welcome
      Speakers: Jessica Gasparik (BNL), Dr Marc-André Pleier (BNL)
    • 2
      Equity, Diversity and Inclusion at BNL
      Speaker: Dr Doon Gibbs (BNL)
    • 3
      Memories of Gertrude Scharff-Goldhaber
      Speakers: Prof. Alfred Scharff Goldhaber (SBU), Dr Michael H. Goldhaber
    • 4
      Characterization of near-term circuits in quantum computing

      It is believed that quantum computing can provide advantage over classical computing by exploiting superposition and entanglement. However, presence of noise in the near-term devices poses obstacles to efficiently utilizing quantum computing. Scientists have been working on various techniques to characterize and mitigate the noise in quantum devices. In this talk I will start with an overview of quantum computing and then mention our work in collaboration with researchers at BNL, in which we characterize the readout process of IBM quantum computers, and how the results can be used to mitigate readout errors. In addition to the readout errors, there are other errors associated with state preparation and quantum gates, potentially with spatial and/or temporal crosstalk. Consequently, characterization becomes challenging as the circuit becomes large. To address the overall noise present in quantum circuits, we introduce a method to characterize circuit performance, which remains efficient even for large circuits. In the end I will outline a few challenges ahead, such as scalability in the error characterization/mitigation and the impact of noise on some near-term applications of quantum computing.

      Speaker: Yanzhu Chen (SBU)