Events

PhD Defense Bridging the Gap Between High-Level Quantum Algorithms and Low-Level Quantum Assembly: Qubit Reuse and Compilation Optimization
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Speaker: Fei Hua

Bio

Location : CoRE 305

Committee: 

Associate Professor Eddy Z. Zhang

Distinguished Professor Mario Szegedy

Assistant Professor Yipeng Huang

Associate Professor Jakub Szefer

Event Type: PhD Defense

Abstract: Despite the rapid advancements in quantum computing, practical implementation is hindered by challenges such as limited qubit resources, low fidelity, and error-prone operations. This dissertation presents a comprehensive exploration of quantum compilation and error mitigation through three key projects. First, the CaQR framework leverages mid-circuit measurements and qubit reuse to address qubit limitations, reducing resource constraints, and enhancing fidelity on real quantum hardware. Second, AutoBraid introduces compiler-level support for surface code error correction, enabling more efficient fault-tolerant quantum computation. Lastly, QASMTrans, an open-source quantum compiler, supports scalable algorithms like QAOA and achieves significant performance improvements across diverse quantum architectures. Together, these contributions bridge the gap between high-level quantum algorithms and low-level hardware, advancing scalable, efficient, and error-resilient quantum computing. This work lays the foundation for future research, pushing the boundaries of practical quantum computation.

Organization: 

Contact  Associate Professor Eddy Z. Zhang

Zoom: https://rutgers.zoom.us/my/fh214?pwd=VTJRbVRacVJ1Z1VmekVGalZDZXJCQT09