Quantum computer systems : research for noisy intermediate-scale quantum computers / Yongshan Ding, Frederic T. Chong.Material type: TextSeries: Synthesis digital library of engineering and computer science | Synthesis lectures in computer architecture ; #51.Publisher: [San Rafael, California] : Morgan & Claypool, Description: 1 PDF (xxiii, 203 pages) : illustrations (some color)Content type: text Media type: electronic Carrier type: online resourceISBN: 9781681738673Other title: Research for noisy intermediate-scale quantum computersSubject(s): Error-correcting codes (Information theory) | Quantum computers | Quantum computing | quantum computing | computer architecture | quantum compilation | quantum programming languages | quantum algorithms | noise mitigation | error correction | qubit implementations | classical simulationAdditional physical formats: Print version:: No titleDDC classification: 006.3/843 LOC classification: QA76.889 | .D467 2020ebOnline resources: Abstract with links to full text | Abstract with links to resource Also available in print.
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Part of: Synthesis digital library of engineering and computer science.
Includes bibliographical references (pages 169-201).
part I. Building blocks -- 1. Introduction -- 1.1. The birth of quantum computing -- 1.2. Models of quantum computation -- 1.3. A QPU for classical computing -- 1.4. Quantum technologies -- 1.5. A road map for quantum computers
2. Think quantumly about computing -- 2.1. Bits vs. Qubits -- 2.2. Basic principles of quantum computation -- 2.3. Noisy quantum systems -- 2.4. Qubit technologies
3. Quantum application design -- 3.1. General features -- 3.2. Gate-based quantum algorithms -- 3.3. NISQ quantum algorithms -- 3.4. Summary and outlook.
part II. Quantum computer systems -- 4. Optimizing quantum systems--an overview. -- 4.1. Structure of quantum computer systems -- 4.2. Quantum-classical co-processing -- 4.3. Quantum compiling -- 4.4. NISQ vs. FT machines
5. Quantum programming languages -- 5.1. Low-level machine languages -- 5.2. High-level programming languages -- 5.3. Program debugging and verification -- 5.4. Summary and outlook.
6. Circuit synthesis and compilation -- 6.1. Synthesizing quantum circuits -- 6.2. Classical vs. Quantum compiler optimization -- 6.3. Gate scheduling and parallelism -- 6.4. Qubit mapping and reuse -- 6.5. Summary and outlook.
7. Microarchitecture and pulse compilation -- 7.1. From gates to pulses--an overview -- 7.2. Quantum controls and pulse shaping -- 7.3. Quantum optimal control -- 7.4. Summary and outlook.
8. Noise mitigation and error correction -- 8.1. Characterizing realistic noises -- 8.2. Noise mitigation strategies -- 8.3. Quantum error correction -- 8.4. Summary and outlook.
9. Classical simulation of quantum computation -- 9.1. Strong vs. Weak simulation : an overview -- 9.2. Density matrices : the Schrödinger picture -- 9.3. Stabilizer formalism : the Heisenberg picture -- 9.4. Graphical models and tensor network -- 9.5. Summary and outlook.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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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.
Also available in print.
Title from PDF title page (viewed on July 7, 2020).