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.

View project →
potential

Neural Network for detecting leakage in readout

Depending on experimentalist's need, we have a potential small project on implementing a neural network for detecting leakage in readout.

potential

Methodological paper on optimizing pulse sequences

We are writing a methodological paper on optimizing pulse sequences for superconducting qubits.

Quantum Error Correction

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

GPU Pauli frame QEC simulation
completed

GPU Pauli frame QEC simulation

GPU-accelerated simulation tools for superconducting quantum circuits and coupled systems.

View project →
Measurement-Free Quantum Error Correction
completed

Measurement-Free Quantum Error Correction

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

View project →

Tensor Networks

Tensor network methods for quantum simulation and optimization

potential

Many-Body Quantum System Simulation

Using tensor networks to simulate strongly correlated quantum systems.

Neural Networks

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

potential

ML pulse optimization

Using machine learning to optimize pulse sequences for superconducting qubits.