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Phd position in quantum computing at University of Trento


Definition and simulation of algorithms on an adiabatic quantum computer - AdiabaticQC
- Luciano Serafini (ICT department of Fondazione Bruno Kessler, Trento)
- Andrea Passerini (Dept. of Information Engineering and Computer Science, University of Trento)
- Valter Moretti (Dept. of Mathematics, University of Trento)
Synthetic description of the activity and expected research outcome:
The research activity will be focused on developing and testing a methodology for encoding algorithms in the target Hamiltonian and in the evolution scheme of an Adiabatic Quantum Computer. In particular main goals are: The direct implementation and simulation of the Grover algorithm on the target adiabatic architectures, the implementation of a compiler based on the universality theorem of adiabatic computing to generate the Hamiltonian that encodes the considered problem. The strategy will be modeling the adiabatic scheme (problem Hamiltonian and a suitable evolution) as a varying scalar function and learning it with Bayesian Optimization and reinforcement learning. A final research outcome will be the application of the methodology to implement, simulate and test a version of the genetic quantum algorithm.
Ideal candidate (skills and competences):
- Either master's degree in Physics or master's degree in Computer Science;
- Bases of either quantum computing or machine learning;
- Attitude to interdisciplinary research;
- Attitude to learn new subjects;
- Knowledge of one major programming language;
Application page:

Last modified: 2018-10-14 19:18:43