Jack Yu

Pasadena, CA

• Developed numerical methods to design non-Gaussian photonic quantum states for quantum sensing and computation using QuTiP and Strawberry Fields.
• Formulated multi-mode beam-splitter and squeezing circuits as high-dimensional parameter optimization problems, maximizing target-state fidelity under photon loss and phase noise.
• Implemented large-scale quantum state simulations and numerical optimization in Python, using NumPy, SciPy, TensorFlow, and HPC resources to parallelize parameter searches and fidelity calculations.
• Investigated how circuit architecture, squeezing parameters, loss, and measurement choices affect the achievable quality of generated quantum states.

Pasadena, CA

• Investigated microscopic mechanisms of ion transport in solid-state electrolytes through computational modeling and temperature-dependent spectroscopy.
• Modeled lattice anharmonicity in Na₃PS₄ using density functional theory (DFT) to study phonon-mediated ion transport.
• Designed and integrated a thermoelectric temperature-control system for Laser-driven Ultrafast Impedance Spectroscopy (LUIS).

Albuquerque, NM

• Conducted R&D for the DARPA H6 program developing a piezo-tunable Fabry–Pérot etalon for chip-scale atomic clocks.
• Characterized VCSEL devices through probe-station measurements and quantitative analysis of laser performance.

Caltech EGG

• Designed parameterized multi-mode photonic circuits to generate a target hexagonal non-Gaussian quantum state.
• Optimized squeezing profiles, circuit parameters, and mode allocations to maximize state fidelity under realistic photon-loss models.
• Built numerical simulation and optimization workflows for high-dimensional quantum states and evaluated performance across circuit configurations.