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Field
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numerical simulations (primarily electromagnetic but also multi-physics modeling) while conducting technical assessments and literature reviews of emerging classical and quantum sensor technologies to inform
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for next-generation information processing, microelectronics, wireless communication, and quantum information science. Key Responsibilities: Develop terahertz coplanar resonators, including design
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Post-Quantum Zero-Knowledge Proofs and Trustworthy AI School of Computer Science PhD Research Project Directly Funded UK Students Dr Prosanta Gope, Dr Behzad Abdolmaleki Application Deadline: 26
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and optimization problems at unprecedented speed and scale. While high-performance computing (HPC) has become the backbone of large-scale power system simulation, emerging quantum computing technologies
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Responsibilities Theory Quantum transport modeling using NEGF; first-principles materials and interface calculations using DFT (VASP, Quantum ESPRESSO, or equivalent). Atomistic spin dynamics
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-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing, graph theory, graph-signal processing, and convex/non-convex
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physics, engineering, or a closely related field Experience in experimental physics/engineering, nanofabrication, quantum information science, and/or microwave and superconducting device characterization
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-performance photonic integrated circuits (PICs) tailored to quantum applications. Quantum technologies, including neutral atom quantum computing and simulation, rely heavily on photonics for encoding
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wireless architecture, emphasizing the new generation of hardware and error correction algorithms. Integrate communications simulation modules and quantum computing for the evaluation of modular
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Quantum and Low-Dimensional Materials Quantum Communications, Sensing & Simulation Quantum Optics & Quantum Information Nanophotonics, Condensed Matter Physics & Light-Matter Interactions Medical Optics