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Field
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further develop our quantum simulation/computing approach. This includes experimental work with the tweezer machine, such as debugging and data taking, designing and constructing upgrades to the machines
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satisfaction, and the availability of funds. The successful candidate will conduct numerical and theoretical research on quantum computing, AI-accelerated quantum simulation and materials discovery, quantum
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to simulations on quantum simulators and computers, and applications of machine learning, including neural quantum states. Candidates will benefit from state of the art computing resources at the Argonne
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problems in bioinformatics. This project is part of the Faculty of Science's new Quantum Simulation for Molecular and Material Design (Q-MMD) programme. You will join a growing interdisciplinary team at
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RESEARCHER in Quantum Computing Middleware and Applications. The quantum software group at the University of Helsinki consists of close to ten researchers looking at quantum computing from the computer
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Join the Veldhorst Group, pioneers in germanium-based quantum computing and simulation. Job description After a successful first hire for this research topic, we are looking for a second
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and collaboratively and to communicate effectively across condensed-matter physics, materials science, quantum sensing, and quantum information science. Required Minimum Qualifications (for temps
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of AI for QC led by Dr. Thorpe in the Department of Chemistry. The research will focus on the development and implementation of AI/ML techniques to extend and accelerate quantum chemical simulations
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Quantum Information Science and Engineering Theory Postdoctoral Associate Yale University: School of Engineering and Applied Science: Applied Physics: Yale Quantum Institute Location New Haven, CT
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stochastic processes, Markov models, dynamical systems, quantum walks, or related mathematical approaches. Experience with computational model fitting, Bayesian inference, simulation, or formal model