Learning-Guided Quantum LDPC Code Design
2026 - Present
Investigating learning-guided methods for discovering and evaluating structured quantum LDPC code families.
Projects
Current Projects
Algebraic and Graph-Based Quantum Code Constructions
2026 - Present
Developing scalable construction techniques for quantum error-correcting codes, with emphasis on structural validity and practical decoding.
Completed Projects
Learning to Decode Quantum LDPC Codes Via Belief Propagation
2026
Reinforcement learning selects sequential belief-propagation updates to improve QLDPC decoding performance and convergence.
Sequential BP-based Decoding of QLDPC Codes
2026
Sequential node-update schedules improve the reliability and efficiency of belief-propagation decoding for QLDPC codes.
Constructing Quantum Convolutional Codes via Difference Triangle Sets
2026
Difference triangle sets construct sparse quantum convolutional codes with guaranteed commutation, controlled memory, and prescribed minimum distance.
Quantum Convolutional Codes Constructed from Classical Self-Orthogonal Convolutional Codes
2025
Classical self-orthogonal convolutional codes yield valid quantum convolutional codes while preserving free distance.
Lifted-Product QLDPC Codes in the Polynomial Domain
2026
Polynomial-domain lifted-product constructions generate finite-length CSS QLDPC codes with verified orthogonality and simulated decoding performance.
