Quantum Computer Systems

Preface.- Acknowledgments.- List of Notations.- Introduction.- Think Quantumly About Computing.- Quantum Application Design.- Optimizing Quantum Systems--An Overview.- Quantum Programming Languages.- Circuit Synthesis and Compilation.- Microarchitecture and Pulse Compilation.- Noise Mitigation and Error Correction.- Classical Simulation of Quantum Computation.- Concluding Remarks.- Bibliography.- Authors' Biographies.

Yongshan Ding is a fourth-year graduate student in the Department of Computer Science at the University of Chicago, advised by Fred Chong. Before UChicago, he received his dual B.Sc. degrees in Computer Science and Physics from Carnegie Mellon University. His research interests are in computer architectures, quantum algorithms, quantum information, and error correction. He builds systems that enable efficient scheduling and mapping from high-level circuits to noisy near-term devices and designs algorithms using tools from property testing, representation theory, and topology.Fred Chong is the Seymour Goodman Professor in the Department of Computer Science at the University of Chicago. He is also Lead Principal Investigator for the EPiQC Project (Enabling Practical-scale Quantum Computing), an NSF Expedition in Computing. Chong received his Ph.D. from MIT in 1996 and was a faculty member and Chancellor's fellow at UC Davis from 1997-2005. He was also a Professor of Computer Science, Director of Computer Engineering, and Director of the Greenscale Center for Energy-Efficient Computing at UCSB from 2005-2015. He is a recipient of the NSF CAREER award, the Intel Outstanding Researcher Award, and eight best paper awards. His research interests include emerging technologies for computing, quantum computing, multicore and embedded architectures, computer security, and sustainable computing.