Perfect state transfer in spin-chains with on-site energy parametrization

In the past decade, theoretical work on spin chains has made substantial progress in the search for systems that can attain high-fidelity quantum information transfer. We extend previous work on tuning the coupling between sites in spin chains by investigating how high-fidelity information transfer may occur by modifying the on-site energies. We show that, given the right spectrum, perfect state transfer may be achieved by modifying only the diagonal elements of the XY Hamiltonian. Furthermore, a genetic algorithm was also utilized in this study, which demonstrated that merging A.I and physics may provide fantastic findings and, in the future, can help us investigate far larger scientific challenges. The incentives for investigating on- site energies are significant because achieving and maintaining perfect state transfer by tuning solely the couplings for some physical systems might be difficult. The study detailed in this thesis aims to bring us one step closer to understanding the many applications of spin chains in quantum information systems.