Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
on Intelligent Vehicles, vol. 1, no. 1, pp. 33–55, 2016. [2] M. Cerezo, G. Verdon, H.-Y. Huang, L. Cincio, and P. J. Coles, “Challenges and opportunities in quantum machine learning,” Nature Computational Science
-
assistant (PraeDoc) on this 4-year position, you will be part of the research group “Quantum Information Science and Quantum Computation”, led by Univ.- Prof. Dr. Philip Walther. The group is part of
-
on exciting technology that will improve the utility and accelerate the time-to-market of quantum computing systems. We integrate novel quantum photonic technology to form an efficient and scalable quantum
-
on exciting technology that will improve the utility and accelerate the time-to-market of quantum computing systems. We integrate novel quantum photonic technology to form an efficient and scalable quantum
-
on exciting technology that will improve the utility and accelerate the time-to-market of quantum computing systems. We integrate novel quantum photonic technology to form an efficient and scalable quantum
-
light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we
-
in all areas of quantum science and technology including, but not limited to, quantum information, photonics, quantum optics, cold atoms, neutral atoms, trapped ions, solid state qubits and quantum
-
background in cybersecurity or computer science; experience in quantum communication and QKD would be a strong asset. Strong project management expertise in technical environments, covering planning, risk and
-
A Chair of Excellence: ASSOCIATE or FULL PROFESSOR at the Department of Quantum Matter Physics As part of its strategy to strengthen its international scientific profile, the Faculty of Science of
-
) programme of the Foundation for Polish Science co-financed by the European Union under the European Funds for Smart Economy 2021-2027 (FENG). The Center for Quantum Digital Organic Memristors (CKCOM) project