Quantum architecture, fault tolerance, and quantum memory systems

Architectures for large-scale, fault-tolerant quantum computation.

I am a final-year Ph.D. student in Applied Physics at Yale University, where I am very fortunate to be advised by Professor Yongshan Ding and Professor Steven M. Girvin. Prior to Yale, I received my Bachelor's degree from Nanjing University.

My research focuses on quantum computer architecture, especially quantum memory systems, fault-tolerant data access, and magic-state preparation. My current interests also include full-stack resource estimation for quantum algorithms on qLDPC architectures and AI for quantum architecture. I connect algorithms, error correction, and hardware constraints to study the practicality of large-scale quantum computing.

Overview

Research Summary

Quantum Random Access Memory Architecture

System-level QRAM design, parallel queries, and error-corrected routing for reliable quantum data access.

Fault-Tolerant Magic-State Preparation

Magic-state injection and distillation under realistic fault-tolerant architectural constraints.

Error-Correction-Aware Architecture

Co-design of algorithms, error-correction codes, routing, logical operations, and resource estimates for practical fault-tolerant systems.

AI for Quantum Architecture

Exploring AI-assisted quantum architecture design and fault-tolerant circuit optimization.

Updates

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Publications

Selected Publications

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Teaching

Teaching

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Graduate Teaching Assistant

Yale University · Fall 2026

CPSC 4310/5310: Computer Music: Algorithmic and Heuristic Composition, taught by Scott Petersen. Previously a TA for two offerings of CPSC 4470/5470: Introduction to Quantum Computing (2022–2023), taught by Yongshan Ding.

Research Mentoring

2024–Present

Mentored Yale undergraduate Alvin Lu from QRAM fundamentals to independent architectural exploration, leading to our Fat-Tree QRAM paper at ASPLOS 2025.