M
Myungshik Kim
Researcher at Imperial College London
Publications - 269
Citations - 14499
Myungshik Kim is an academic researcher from Imperial College London. The author has contributed to research in topics: Quantum entanglement & Quantum. The author has an hindex of 62, co-authored 266 publications receiving 12231 citations. Previous affiliations of Myungshik Kim include Korea Institute for Advanced Study & Sogang University.
Papers
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Nonequilibrium dressing in a cavity with a movable reflecting mirror
TL;DR: In this paper, the authors considered a movable mirror coupled to a one-dimensional massless scalar field in a cavity and investigated the dynamic evolution of mirror and field starting from a nonequilibrium initial state, and their local interaction which brings the system to a stationary configuration for long times.
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Generating mechanical and optomechanical entanglement via pulsed interaction and measurement
Jack Clarke,P. Sahium,Kiran E. Khosla,Igor Pikovski,Igor Pikovski,Myungshik Kim,Michael R. Vanner +6 more
TL;DR: In this paper, two different schemes for mechanical entanglement generation are introduced and compared: one scheme based on an optical interferometric design, and the other comprising sequential optomechanical interactions.
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Efficient Quantum State Sample Tomography with Basis-Dependent Neural Networks
TL;DR: In this paper, a method combining restricted Boltzmann machines with feed-forward neural networks is devised for efficiently calculating observables of a measured quantum state, which can be used for quantum computing.
Posted Content
Capacity and quantum geometry of parametrized quantum circuits.
TL;DR: In this article, the authors evaluate the capacity and trainability of parametrized quantum circuits using the geometric structure of the parameter space via the effective quantum dimension, which reveals the expressive power of circuits in general as well as of particular initialization strategies.
Posted Content
Optimal training of variational quantum algorithms without barren plateaus
Tobias Haug,Myungshik Kim +1 more
TL;DR: In this paper, the generalized quantum natural gradient (GQN) is proposed to solve the problem of the barren plateau problem of gradient ascent for VQA. But, the gradient of the GQN does not vanish when the fidelity between the initial state and the state to be learned is bounded.