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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


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.


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Meeting ID: 937 0192 2305



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


Zoom Talk
Berkeley, ca 94720
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