Superconducting Quantum Hardware and Automated Calibration

Superconducting quantum hardware 2026 - Present Research project

Current work on tunable superconducting circuits, automated calibration, and validated multimode quantum-simulation workflows.

This project summarizes current work on superconducting quantum hardware, tunable interactions, and automated calibration workflows. The broader goal is to develop superconducting processors with programmable qubit-qubit and qubit-mode couplings for reliable quantum-circuit operation and validated digital quantum simulation.

One direction focuses on automated calibration and validation of programmable Kerr and parametric interaction primitives in a transmon-SQUID-multimode-resonator platform. The workflow combines cryogenic microwave measurement, flux-excursion modulation, automated parameter extraction, drift tracking, and robustness checks.

A second direction uses calibrated interaction primitives to validate multimode quantum-simulation protocols, including quantum walks, transport, driven-dissipative dynamics, and hybrid spin-boson models. The emphasis is on reproducible protocols and benchmark datasets that quantify model parameters, uncertainty, and run-to-run stability.

This work builds directly on prior experience in cryogenic experimentation, Hamiltonian inference, calibration under drift, precision measurement, interaction characterization, nanofabrication, and data-driven validation in solid-state qubit platforms.