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Research

Quantum hardware theory — superconducting device physics, error correction, tensor networks, and machine learning.

Superconducting Qubit Simulation

Hamiltonian engineering of superconducting circuits, fluxonium design, and device characterization

Fluxonium Erasure
completed

Fluxonium Erasure

Erasure error detection and conversion in fluxonium qubits for improved quantum error correction.

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potential

Optimizing pulse to reduce leakage

Potential project to optimize pulse sequences for reducing leakage in superconducting qubits.

Quantum Error Correction

Hardware-aware QEC schemes, measurement-free protocols, and erasure-based error correction

Measurement-Free Quantum Error Correction
completed

Measurement-Free Quantum Error Correction

Novel QEC protocols that eliminate measurement overhead for improved qubit coherence.

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Tensor Networks

Tensor network methods for quantum simulation and optimization

ongoing

Tensor-network simulation for large-scale superconducting circuits

Python package under development for tensor-network simulation of large multi-mode superconducting circuits, enabling Hamiltonian engineering beyond exact diagonalization. Preprint in preparation.

Neural Networks

Machine learning applications for quantum computing, from decoder optimization to circuit design

ongoing

Generative ML for superconducting qubit control

Generative ML model for superconducting qubit control and Hamiltonian engineering. Preprint in preparation.