Topological superconducting circuit optomechanical lattices
POSTER
Abstract
Over the past decades, optomechanics has allowed major progress in the quantum control of engineered mechanical systems. Yet, nearly all prior schemes have employed single- or few mode optomechanical systems. In contrast, novel dynamics and applications are expected when utilizing optomechanical arrays and lattices.
Superconducting circuits are a promising platform to realize optomechanics with a flexible design and precise control.
To date however, realizing optomechanical lattices has been compounded by the limited scaling in contemporary circuit optomechanics.
Here we overcome this challenge and realize superconducting circuit optomechanical lattices.
We demonstrate non-trivial topological modes in a 10 site optomechanical chain as well as a 24 site honeycomb lattice, realizing the Su-Schrieffer-Heeger model.
Furthermore, we present a technique exploiting embedded optomechanical interaction to directly measure the modeshape, without using any local probe.
Our new platform and measurement technique offers an avenue to explore many-body physics in optomechanical lattices.
Superconducting circuits are a promising platform to realize optomechanics with a flexible design and precise control.
To date however, realizing optomechanical lattices has been compounded by the limited scaling in contemporary circuit optomechanics.
Here we overcome this challenge and realize superconducting circuit optomechanical lattices.
We demonstrate non-trivial topological modes in a 10 site optomechanical chain as well as a 24 site honeycomb lattice, realizing the Su-Schrieffer-Heeger model.
Furthermore, we present a technique exploiting embedded optomechanical interaction to directly measure the modeshape, without using any local probe.
Our new platform and measurement technique offers an avenue to explore many-body physics in optomechanical lattices.
*This work was supported by the SNSF under grant agmt No. NCCR-QSIT: 51NF40_185902, the European Research Council (ERC) under the EU H2020 research and innovation programme, grant agmt No. 835329 (ExCOM-cCEO).
Presenters
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Amir Youssefi
- Swiss Federal Institute of Technology Lausanne (EPFL),
- Swiss Federal Institute of Technology Lausanne (EPFL)