Abstract
The precise control, entanglement, and measurement of quantum systems are central challenges in realizing scalable quantum information processing. This dissertation investigates how parametric modulation and engineered nonlinearity can be harnessed to both manipulate and measure superconducting qubits with high fidelity. In one part, controlled parametric drives are used to generate entanglement between qubit pairs and employ their joint states as probes of environmental dynamics. This approach enables the exploration of the non-Markovian nature of quantum environments, revealing how memory effects influence qubit coherence and energy relaxation. In a separate but conceptually related study, the same principle of parametric driving is utilized to design and analyze quantum-limited amplifiers based on three-wave mixing in weakly nonlinear Josephson circuits. An amplifier with a higher coupling quality factor than conventional JPAs is employed, allowing the two modes of a parity-time (PT) symmetric dimer to be mapped onto the in-phase (I) and quadrature (Q) components of the Josephson parametric amplifier. This mapping enables controlled exploration of non-Hermitian dynamics and mode coalescence within the amplifier’s quadrature space, offering new insights into PT-symmetric behavior and quantum-limited detection. Collectively, these investigations unify the themes of parametric control, entanglement, and amplification, advancing the broader understanding of quantum measurement and open-system dynamics.
Committee Chair
Kater Murch
Committee Members
Chong Zu; Erik Henrikson; James Buckley; Karthik Ramanathan; Mark Lawrence
Degree
Doctor of Philosophy (PhD)
Author's Department
Physics
Document Type
Dissertation
Date of Award
12-17-2025
Language
English (en)
DOI
https://doi.org/10.7936/ajdg-cw06
Author's ORCID
0000-0002-5135-0938
Recommended Citation
Gaikwad, Chandrashekhar Rao, "Parametric Control and Amplification in Superconducting Quantum Systems: From Entanglement Probes to PT-Symmetric Architectures" (2025). Arts & Sciences Theses and Dissertations. 3675.
The definitive version is available at https://doi.org/10.7936/ajdg-cw06