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Quantum Computer Systems: Research for Noisy Intermediate-Scale Quantum Computers

Synthesis Lectures on Computer Architecture

Yongshan Ding​‌
University of Chicago
Frederic T. Chong​‌
University of Chicago


This book targets computer scientists and engineers who are familiar with concepts in classical computer systems but are curious to learn the general architecture of quantum computing systems. It gives a concise presentation of this new paradigm of computing from a computer systems' point of view without assuming any background in quantum mechanics. As such, it is divided into two parts. The first part of the book provides a gentle overview on the fundamental principles of the quantum theory and their implications for computing. The second part is devoted to state-of-the-art research in designing practical quantum programs, building a scalable software systems stack, and controlling quantum hardware components. Most chapters end with a summary and an outlook for future directions. This book celebrates the remarkable progress that scientists across disciplines have made in the past decades and reveals what roles computer scientists and engineers can play to enable practical-scale quantum computing.

Table of Contents: 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

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Cited by

Roman Rietsche, Christian Dremel, Samuel Bosch, Léa Steinacker, Miriam Meckel, Jan-Marco Leimeister​‌. (2022) Quantum computing. Electronic Markets 90.
Online publication date: 5-Aug-2022.
Yilun Zhao, Yanan Guo, Yuan Yao, Amanda Dumi, Devin M Mulvey, Shiv Upadhyay, Youtao Zhang, Kenneth D Jordan, Jun Yang, Xulong Tang​‌. (2022) Q-GPU: A Recipe of Optimizations for Quantum Circuit Simulation Using GPUs. 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 726-740.
Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han​‌. (2022) QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 692-708.
Yongshan Ding, Pranav Gokhale, Sophia Fuhui Lin, Richard Rines, Thomas Propson, Frederic T. Chong​‌. (2020) Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation. 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 201-214.

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