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We are looking for a motivated summer intern to join a collaborative project aimed at improving the performance of superconducting qubits by optimizing noise filtering in dilution‑refrigerator
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computational tools, including optimal-control techniques, that directly support ongoing experiments and advance the control of bosonic quantum operations. About us The position is hosted at the Applied Quantum
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. The candidates will be working with the QV2 software team and will learn to develop scientific software in a collaborative environment. Project 1: Readout Optimization and Software Development This project focuses
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directions of optimization of device performance. About us The Microwave Electronics Laboratory (MEL) at the Department of Microtechnology and Nanoscience employs more than 40 people performing world-class
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with FPGA programming used in superconducting quantum circuit experiments. Model-Free Quantum Control via Reinforcement Learning: Reinforcement learning (RL) is an emerging approach for optimizing
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important examples such as Schrödinger Cat states, which are superpositions of coherent states with different phases. This project focuses on the optimal preparation of Schrödinger Cat states in a propagating
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competence in image analysis and data processing. What you will do Develop and optimize experimental workflows, including sample preparation under different environmental conditions. Design and conduct
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: Simulation, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Design and implementantion of automatic calibration techniques
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accelerated, experimental materials screening and optimization approaches, as well as in-depth characterizations of the promising materials candidates – later also full solar cells – in your work. You will
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the recruiting manager for the specific position you are interested in. Contact information can be found in the advertisement for each position. Doctoral student in Optimal control of a superconducting bosonic