Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
(postdoc) Limited contract until: 31.07.2028 Job ID: 6062 The González research group (https://theochem.univie.ac.at/) at the Institute of Theoretical Chemistry at the Faculty of Chemistry aims at
-
data-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent
-
quantum information science, quantum materials, quantum computation, artificial intelligence and computational approaches to emergent quantum matter, quantum geometry, Majorana modes, the fractional
-
requiring a mixed quantum/classical treatment. Experience in quantum chemistry and reaction dynamics. Interest in applying methods to simulate materials to be used in quantum computation technologies
-
quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum
-
computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a prospective topic across four application domains
-
optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a key focus across four application
-
. Interest in applying methods to simulate materials to be used in quantum computation technologies. Strong programming skills, especially in Python and/or C/C++/Fortran. Strong motivation to work in an
-
, ultracold atoms, non-perturbative field-theory, integrable models, mesoscopic physics, non-equilibrium quantum and classical dynamics, time evolution of exactly solvable models, quantum computation and
-
focused on the theory and applications of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and