This thesis devotes three introductory chapters to outlining basic recipes for constructing the quantum Hamiltonian of an arbitrary superconducting circuit, starting from classical circuit design. Since a superconducting circuit is one of the most promising platforms for realizing a practical quantum computer, anyone who is starting out in the field will benefit greatly from this introduction. The second focus of the introduction is the ultrastrong light-matter interaction (USC), where the latest developments are described. This is followed by three main research works comprising quantum memory in USC; scaling up the 1D circuit to a 2D lattice configuration; creation of Noisy Intermediate-Scale Quantum era quantum error correction codes and polariton-mediated qubit-qubit interaction. The research work detailed in this thesis will make a major contribution to the development of quantum random access memory, a prerequisite for various quantum machine learningalgorithms and applications.
Thi Ha Kyaw is a quantum computing research group leader at LG Electronics Toronto AI Lab. Prior to that, he was a postdoctoral fellow at the University of Toronto's Computer Science and Chemistry Departments. He obtained his Ph.D. from the Centre for Quantum Technologies, National University of Singapore. He is interested in quantum computing, quantum simulation, open quantum systems, ultrastrong light-matter interaction, quantum controlled dynamics, and the interface between machine learning and quantum computing. A unifying theme of his research in these areas is the interplay between physics and quantum information.
The first of its kind in introducing superconducting qubits architecture from the scratch. If you are interested to learn those stuff, you should definitely have it. It is also rated as one of the best quantum computing books for beginners as well as one of the best quantum computing books of all time by the bookauthority.org.