Published nearly 70 papers in leading journals and conferences across computer science and physics, including Nature Computational Science, Physical Review Letters, PRX Quantum, IEEE Transactions on Information Theory, Communications in Mathematical Physics, ACM Transactions on Quantum Computing, as well as QIP, ASPLOS, and DAC. Specific publications include:
1. Jianxin Chen et al., 'One gate scheme to rule them all: Introducing a complex yet reduced instruction set for quantum computing,' Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024.
2. Fang Zhang et al., 'A Classical Architecture For Digital Quantum Computers,' ACM Transactions on Quantum Computing, 2023.
3. Xinyu Tan et al., 'Scalable surface-code decoders with parallelization in time.'
Research Experience
Main research areas are quantum architecture and systems, as well as quantum error correction and fault tolerance. Proposed redefining quantum instruction sets to unlock the full potential of quantum chips and developed a real-time quantum error decoding scheme for scalable error correction. Additionally, developed a complete system encompassing quantum instructions and control instructions, a quantum compilation framework, quantum error correction middleware, and control electronics, achieving full-stack control of quantum chips.
Education
Bachelor of Computer Science, Tsinghua University, Beijing, China, 2005; Ph.D. in Computer Science, Tsinghua University, Beijing, China, 2010.
Background
Research interests include Quantum Computer Architecture and Systems, Quantum Error Correction and Fault-tolerant Quantum Computing, Quantum Hardware-software Codesign, and Quantum Information Science.