18 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at Chalmers University of Technology in Sweden
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of clean-room fabrication processes for high-quality superconducting processors Experimental quantum computing Software development Contract terms Full time permanent employment. What we offer Chalmers
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contribute to exciting research in scaling up quantum computers in a collaborative and dynamic environment. About us The Department of Microtechnology and Nanoscience advances the frontiers in quantum
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overhead required for fault-tolerant quantum computation. Job description • Design new bosonic codes for quantum error correction and study their performance • Perform both analytical calculations and
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information science, microwave quantum optics, and mechanical quantum devices. We are also part of the Wallenberg Centre for Quantum Technology (WACQT) , a 12-year initiative to advance Swedish academia and industry
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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physics can unlock radically new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing, transduction, thermodynamics, and foundations
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This project focuses on the development of quantum–classical modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical
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mode and encodes arbitrary quantum information within the logical subspace. At the Applied Quantum Physics Laboratory (AQPL) , we work on theoretical aspects of future high-performance nano-electronic
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algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we are looking for The following requirements are mandatory: A doctoral
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modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical numerical models to improve the simulation of complex