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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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cryostats. Relevant cooling technologies include pulse tube, Joule-Thomson, sorption, quantum tunneling, adiabatic demagnetization, and dilution refrigerators. Research opportunities focus on the development
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importance in chemical analysis, mass spectrometry still lacks theories that can provide computational predictions useful to the analyst. Mass spectrometry encompasses a variety of experimental techniques
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space cryogenic applications, superconducting electronics, quantum computing, to name a few. PhD Objectives and Work Plan The goal of this PhD thesis is to experimentally investigate the thermal
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Information Computational complexity in adiabatic quantum computation AI to boost quantum technologies (e.g., machine learning for quantum error prevention/mitigation/correction) Quantum machine learning
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in experimental physics and superconducting device development, with a focus on advancing multipixel single-photon camera technology and multiplexed readout for quantum information science applications