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., exact diagonalization, Krylov subspace methods, quantum Monte-Carlo, tensor network methods. Demonstrated programming skills using relevant languages, e.g., C/C++, Python, Matlab, Julia, and familiarity
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Hands-on experience building, operating, and maintaining both the hardware and software of complex scientific apparatuses. Our quantum simulator comprises an ultra-high vacuum system, high-power low-noise
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. The projects may also include to tackle benchmarking problems such as SAT, image processing, graph theories, boson/fermion sampling by applying classical machine/deep learning, neural network techniques and
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contribute to the collaborative TQT research community. Principal Investigator: Christine Muschik Research Area: Theoretical quantum optics Relevant Fields: Quantum Networks, Quantum Simulations Required
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-box experience etc.), Characterization (AFM/SEM/TEM/UV-VIS/Raman), CNT or nanowire/2D material growth is a plus. Software: Python, Matlab, Mathematica, COMSOL, Schroedinger-Poisson Solver, C/C++, Number