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sources using tailored semiconductor nanoelectronic devices. Quantum light sources play a pivotal role in quantum information processing, quantum communication, and quantum sensing applications. By
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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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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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, model and simulate physical processes, and engage in productive discussions with theoretical quantum physicists. Demonstrated programming skills for data acquisition and processing, e.g., Python, Matlab
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measurements Undergraduates: Supporting graduate students with python programming in analysis and automation, or mechanical drawing/3D printing or electrical circuits. Part-time computer scientists: Building
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contribute to the collaborative TQT research community. Principal Investigator: Na Young Kim Project: Carbon Nanotube (CNT) Quantum Electronic Devices Research Area: CNT material growth/processing and device
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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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experience with low temperature physics, particularly the operation and running of dilution refrigerators. Experience with magnetic resonance and superconductors is helpful but not required. The positions
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contribute to the collaborative TQT research community. Principal Investigator: David Cory Project: Develop improved processes for the growth of high-quality superconducting films with applications to quantum