seed projects

Kade Head-Marsden: Theoretical Prediction of Temperature-dependent Spin Relaxation in Molecular Systems used in Quantum Information Science

Figure 1: (Left) Molecular spin systems of interest (Center) Quantum and classical compuational resources and (Right) Desired outcome of relaxation rate predictions.

This Seed seeks to develop methods to model temperature-dependent relaxation dynamics in molecules for use in quantum information sciences using both classical and quantum hardware platforms. This includes predicting dissipation rates for environmentally-induced relaxation of spin dynamics in species such as single molecule magnets and molecular spin qubit candidates. For classical computation this amounts to adapting open quantum system master equations to be chemically relevant for molecular applications. For quantum computation, these approaches are dilated and optimized to be amenable to implementation on current noisy quantum computers.

Funded by the National Science Foundation through the University of Minnesota MRSEC under Award Number DMR-2011401