First Step to Quantum Computing (1版)

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【簡介】 Quantum information is a young and evolving field. This compendium introduces quantum information in a comprehensive self-contained guide without assuming a wealth of knowledge prior to reading. The volume highlights intuition on counterintuitive topics such as quantum mechanics, basic mathematical tools and calculations involving linear algebra, and applies these concepts to quantum information with guided problems and coding exercises. This applied guide largely benefits mid-level undergraduates and perhaps motivated high schoolers. 【目錄】

Introduction to Computing Systems: From Bits and Gates to C/C++ and Beyond (3版)

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【簡介】 Description Introduction to Computing Systems: From Bits & Gates to C/C++ & Beyond is built on the premise that students learn best by building on what they already know, rather than memorizing and accepting what they do not know. The result: a bottom-up approach to understanding computing, giving students a strong foundation in important aspects of computing early in their coursework. The book is structured in two parts: (a) understanding how a computer works (Chapters 1-10), and (b) programming in a high-level language (Chapters 11-20). Starting with the switch-level behavior of a MOS transistor (not unlike the switch-level behavior of a light switch in one's kitchen), the student constructs logic gates, then MUXes, Decoders, ALUs, latches, flipflops, culminating in memory and finite state control. Each step of the way, the level of abstraction is raised, with the student understanding how he/she put the current step together. From there, it is a simple matter to define the LC-3, a computer that the student programs in both machine language and assembly language, and then tests and debugs his/her programs with little or no help from the TA! Input and output (VO) are done under both program control and via interrupts, through keyboard and monitor, requiring the student to communicate through device data and status registers. Finally, the student invokes system calls, which are implemented in the LC-3 instruction set architecture. The second half of the book focuses on high-level language programming in C and C++ and programming methodology. The essential core of C and C++ is taught, including pointers, arrays, recursion, data structures, objects, and object inheritance. All constructs are explained using the context of the LC-3, developed in the first half of the book. By reducing high-level constructs into low-level implementation in the LC-3, students are able to grasp advanced programing concepts such as function calls, dynamic memory allocation, and objects much more quickly and proficiently. 【目錄】 Table of Contents 1 Welcome Aboard 2 Bits, Data Types, and Operations 3 Digital Logic Structures 4 The von Neumann Model 5 The LC-3 6 Programming 7 Assembly Language 8 Data Structures 9 I/O 10 A Calculator 11 Introduction to C/C++ Programming 12 Variables and Operators 13 Control Structures 14 Functions 15 Testing and Debugging 16 Pointers and Arrays 17 Recursion 18 I/O in C 19 Dynamic Data Structures in C 20 Introduction to C++ Appendix A The LC-3 ISA Appendix B From LC-3 to x86 Appendix C The Microarchitecture of the LC-3 Appendix D The C Programming Language Appendix E Useful Tables Appendix F Solutions to Selected Exercises

Quantum Computing: An Applied Approach (2版)

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This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training. The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition. This volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional resources include a table of operators and circuit elements and a companion GitHub site providing code and updates. Jack D. Hidary is a research scientist in quantum computing and in AI at Alphabet X, formerly Google X.