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Field
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integrated circuits (PICs) tailored to quantum applications. Quantum technologies, including neutral atom quantum computing and simulation, rely heavily on photonics for encoding, processing, and detecting
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/classical treatment. Experience in quantum chemistry and reaction dynamics. Interest in applying methods to simulate materials to be used in quantum computation technologies. Strong programming skills
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solids, we aim to enable hybrid quantum devices with significantly improved coherence times for applications in quantum computing and quantum memories. The PhD project combines experimental quantum physics
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initiatives focusing on: Next-generation energy storage systems Power converter design for Power-to-X (PtX) solutions Microgrid applications Quantum computing in power systems And other emerging technologies in
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communication, quantum computing and simulation, or quantum metrology and sensing. Possible platforms may include atomic, atom‑like, molecular or hybrid quantum systems for the controlled storage, transduction
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combine ultrafast pump–push–probe experiments with sub-10 fs resolution, finite-element simulations, and quantum models extending the Tavis–Cummings Hamiltonian. The aim is to demonstrate coherent control
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) rare event searches with quantum sensors, and (4) quantum simulation, each in connection with the LBNL Physics Division research program. For an overview of research activities, please see
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the following areas: Machine Learning and Edge AI, Heterogeneous Computing, Networking and IoT, Quantum Computing. We are seeking an individual who has the ability and interest in contributing to a
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generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning potentials, and
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Performance analysis and characterization of quantum interferometer systems Modeling and simulation of Quantum Optical Coherence Tomography (QOCT) systems Experimental design, implementation, and validation