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Aniruddha Bapat (University of Maryland, College Park) “Variational Quantum Optimization in the NISQ Era”

December 15, 2020 @ 4:00 pm - 5:00 pm

ABSTRACT:

Quantum information science in the coming decade will likely be carried out on noisy devices consisting of ~100-1000 qubits that do not share full interconnectivity. In this so-called NISQ regime, variational quantum algorithms, which tackle a wide range of problems from areas such as combinatorial optimization, quantum chemistry, and high-energy physics, provide a path to practical quantum advantage. In this talk, I will present some of our recent work that explores the theory behind variational algorithms such as quantum annealing and quantum approximate approximation algorithm (QAOA) using tools from optimal control theory. Then, I will discuss our work on finding the ground state of a critical Ising model on a trapped-ion quantum simulator, and the underlying optimization strategy. Finally, I will mention applications of our ideas and upcoming work.

http://physics.lbl.gov/rpm/index.php/events/

If you are looking to confirm if there is an event, due to room reservation, please go to RPM website for a list of all scheduled talks.

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Details

Date:
December 15, 2020
Time:
4:00 pm - 5:00 pm
Website:
https://lbnl.zoom.us/j/93701922305

Venue

Zoom Talk
50A-5132
Berkeley, ca 94720
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