GPA4.0/4.0 Advisor: Professor Andreas Klappenecker, Thesis: Quantum Data-syndrome Codes Toward Measurement-free Fault-tolerant Quantum Computing
Conducted research on optimizing the quantum data-syndrome codes with the LDPC codes embedded aimed at achieving measurement-free fault-tolerant error correction with fewer quantum resource
Currently designing and implementing VQESPRESSO, a quantum-accelerated classical logic minimizer for achieving globally optimal solutions
Collaborated with Fujitsu Research to develop quantum-inspired algorithms for non-negative matrix factorization and dynamic scheduling optimization problems on digital annealer service
Extended the APIs of computation service provided by Fujitsu Ltd. and developed the user interface to do visualization used by 3 universities and 5 research groups
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