Dissertation Defense: Pinlei Lu

April 15, 2022 - 12:00pm

Parametric quantum computation via quantum engineering in superconducting system

Abstract: For quantum computing in the NISQ era, most platforms for superconducting systems, including surface code, employ a network of two-body interactions between nearest-neighbor qubits. Alternatively, modular quantum computers seek to create networks with dense local couplings among small 'quantum modules' which are in turn connected via a quantum bus. In my research at the University of Pittsburgh, I have been working towards such a goal, seeking to create a quantum network with dense local couplings among multi-quantum objects. More importantly, these couplings not only have enough efficiency to conquer the nearest-neighbor coupling, which the surface code is based on, also can be generally applied on multi-layer structure. This architecture fulfills an all-to-all interaction between qubits, and thus makes the challenge of achieving large-scale quantum machines less daunting.

Research Advisor: Dr. Michael Hatridge

Location and Address

Hybrid Event.321 Allen Hall
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