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PhD Position at Laboratory of Molecular Magnetis ... (No replies)
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Within the frame of the National Center of excellence for HPC, Big Data, and Quantum Computing, the Laboratory of Molecular Magnetism of the University of Florence (LaMM) are seeking to fill a full-time (100%) position under the supervision of Prof. Dr. Federico Totti for a doctoral grant in the area of computational chemistry modeling techniques. This research project aims to investigate multi-qubit architecture made of dimeric units containing transition metal centers at the atomic scale in both 1D, 2D adsorbed on surfaces and 3D. The title of the project is “Computational characterization of molecular qubits from bulk to the adsorbed phase”
Project description
Laboratory of Molecular Magnetism of the University of Florence (LaMM) has an open position for a Ph.D. student, situated within a National Center of excellence for HPC, Big Data, and Quantum Computing projects.
Multi-qubit architecture with specific physical properties (e.g., longer coherence time, weaker/stronger coupling interactions, and so on) can be obtained by rational chemical approaches. The magnetic exchange interaction between spin centers (i.e., isotropic or dipolar ones) is a crucial ingredient to establish the entanglement condition needed for implementing logic operations.
The manipulability of distinct qubits can be promoted, for instance, by adopting different metal centers or exploiting the magnetic anisotropy of paramagnetic centers. This can be assured by avoiding a strong-exchange regime and maintaining the individual addressability of qubits. There is also the necessity of depositing these systems to realize prototypical hardware readily employable in quantum devices,
The doctorate candidate will have to perform ab initio calculations both in the gas-phase as in the condensed ones: bulk and hybrid. Experience with calculations with magnetic systems and/or using software packages as ORCA, CP2K, MOLCAS, and QuantumEspresso will be considered a plus.
Knowledge in machine-learning techniques and in molecular mechanics will be also positively considered. Some experience in shell scripting or programming in Python or Fortran is welcome.
Candidates are also encouraged to get in contact with the PI ([email protected]) for any informal discussions on project details and potential suitability. The public call will be presumably published in the second half of September 2022.