February 26, 2021
We hope you can join us for our third faculty candidate Monday, March 8, with Dr. Mohan Sarovar from Sandia Lab.
Speaker: Mohan Sarovar – Sandia Lab.
Title: Quantum engineering for reliable, scalable quantum technologies
Date/Time: Monday, March 8 10:30 a.m. (PST)
Zoom Link: https://washington.zoom.us/j/98509879825
Zoom Password: 03082021
Title: Quantum engineering for reliable, scalable quantum technologies
Abstract:
The field of quantum information science and technology (QIST) has made rapid strides in recent years and it is increasingly likely that the coming decade will witness the development of scalable, deployable quantum technologies. A large part of realizing this vision will be the growth of a quantum engineering discipline that is able to lead the effort to build, scale and use incredibly complex quantum hardware.
In the first part of this talk I will provide an introduction to QIST, particularly quantum computing, and survey some of my contributions to the field. The second part of the talk will be a deep dive into two recent results in the area of quantum engineering: (i) a new technique for detecting crosstalk, a problem that plagues all existing quantum computing architectures [1], and (ii) a machine-learning-based solution to constructing robust circuits for performing quantum computations [2]. Then, in the third portion of the talk I will conclude with a discussion of future research directions in quantum engineering that I find most exciting.
[1] “Detecting crosstalk errors in quantum information processors”, Quantum 4, 321 (2020).
[2] “Machine learning of noise-resilient quantum circuits”, PRX Quantum 2, 010324 (2021).
Bio:
Dr. Mohan Sarovar is a Principal Member of the Technical Staff at Sandia National Laboratories in Livermore, California. He obtained a Bachelors and Masters in Electrical Engineering from Cornell University, and a doctorate in Physics from the University of Queensland (Australia) specializing in quantum computing and quantum control. Prior to his position at Sandia he was a postdoctoral scholar in the Department of Chemistry at the University of California, Berkeley.
Mohan has broad expertise in quantum information science and technology built up over more than 15 years of working on quantum computing, quantum communication, quantum simulation and quantum sensing. His current research is focused on developing quantum algorithms for science applications, near-term quantum computing and quantum simulation applications, and developing new techniques for characterizing quantum computers.