دانلود کتاب Quantum Computing with Silq Programming: Get up and running with the new high-level programming language for quantum computing

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Cover Title Page Copyright and Credits Dedication Contributors Table of Contents Preface Section 1: Essential Background and Introduction to Quantum Computing Chapter 1: Essential Mathematics and Algorithmic Thinking Introducing linear algebra for quantum computing Vectors and vector spaces Inner products and norms Matrices and their operations The eigenvalues and eigenvectors of an operator Tensor products Coordinate systems, complex numbers, and probability Introducing coordinate systems Complex numbers and the complex plane Probability Defining computational thinking Decomposition Pattern recognition Data representation and abstraction Introducing computer algorithms Defining an algorithm The linear search algorithm The calculation of the time and space complexity of algorithms Time and space complexity Notation for time and space complexity Calculation and analysis of the complexity of algorithms Summary Further reading Chapter 2: Quantum Bits, Quantum Measurements, and Quantum Logic Gates Introducing single quantum bits – qubits and superposition of qubits Learning about the Bra-Ket notation for qubits Superposition of qubits Illustrating qubits in different bases Bloch sphere representation of qubits The Z basis states — |0> and |1> The X basis states —  and  The Y basis states –  and  Introducing quantum measurements Mathematics of projective measurements Quantum logic gates Pauli gates The Hadamard gate – the quantum H gate The S gate The S (S dagger) gate The T gate –  gate The T (T dagger) gate The  gate The  gate The  gate Summary Further reading Chapter 3: Multiple Quantum Bits, Entanglement, and Quantum Circuits Introducing multiple quantum bits The wonder of quantum entanglement Exploring the Bell states system Verifying entanglement of quantum states Exploring multi-qubit quantum logic gates The quantum CX or CNOT gate The quantum CZ or CPHASE gate The quantum SWAP gate The quantum CCX or CCNOT gate – Toffoli gate The quantum CSWAP gate – Fredkin gate Quantum teleportation Quantum superdense coding Summary Chapter 4: Physical Realization of a Quantum Computer Criteria for quantum computation existence Depicting quantum information Unitary transformation capability Reference initial quantum states preparation Output measurement capability Superconducting qubit-based quantum computers Superconducting qubits NISQ era Quantum annealing-based quantum computers Ion-trap quantum computers Nuclear magnetic resonance Optical photonics-based quantum computers Summary Further reading Section 2: Challenges in Quantum Programming and Silq Programming Chapter 5: Challenges in Quantum Computer Programming A brief history of classical computers The challenges of today's classical computers Understanding the assembly language HLLs for classical computers Low-level circuit programming of quantum computers Introducing quantum programming languages The IBM Qiskit quantum programming language The Microsoft Q# quantum programming language The Google Cirq quantum programming language The challenges of quantum programming Summary Further reading Chapter 6: Silq Programming Basics and Features Technical requirements Introducing Silq and its special features Introducing Silq Installing Silq Installing Microsoft Visual Studio Code Installing the Silq plugin Introducing Silq data types Defining variables in Silq Control flow in Silq Functions and iterations in Silq Introducing Silq annotations Introducing classical type annotations – ! The qfree annotation The mfree annotation The const annotation The lifted annotation Simple example programs using Silq Summary Further reading Chapter 7: Programming Multiple-Qubit Quantum Circuits with Silq Technical requirements Exploring multi-qubit quantum logic gates in Silq The quantum CX or CNOT gate The quantum CZ or CPHASE gate The quantum SWAP gate The quantum CCX or CCNOT gate – the Toffoli gate The quantum CSWAP gate – the Fredkin gate Constructing quantum circuits with quantum logic gates using Silq Implementing Bell states in Silq Decomposing the CX gate Implementing the GHZ state using Silq Implementing a classical half adder circuit in Silq Quantum teleportation Quantum superdense coding Summary Section 3: Quantum Algorithms Using Silq Programming Chapter 8: Quantum Algorithms I – Deutsch-Jozsa and Bernstein-Vazirani Technical requirements Introducing quantum parallelism and interference Quantum parallelism Quantum interference Implementing the Deutsch-Jozsa algorithm Problem statement Classical solution Quantum solution Silq implementation Designing a more concise version of the algorithm Implementing the Bernstein-Vazirani algorithm Problem statement Classical solution Quantum solution Silq implementation Summary Chapter 9: Quantum Algorithms II – Grover's Search Algorithm and Simon's Algorithm Technical requirements Introducing search algorithms Getting started with Grover's search algorithm Grover's search for one solution using Silq programming Grover's search for multiple solutions using Silq programming Mathematical treatment of Grover's search for multiple solutions Silq implementation of Grover's search for multiple solutions Grover's search for an unknown number of solutions using Silq programming Silq implementation of Grover's search for an unknown number of solutions Introducing Simon's algorithm The Silq implementation of Simon's algorithm Summary Further reading Chapter 10: Quantum Algorithms III – Quantum Fourier Transform and Phase Estimation Technical requirements Introducing the classical Discrete Fourier Transform (DFT) Exploring the QFT Implementing the QFT using Silq Getting started with the phase estimation algorithm Implementing phase estimation using Silq Summary Further reading Section 4: Applications of Quantum Computing Chapter 11: Quantum Error Correction Technical requirements Introducing classical error correction technique Redundancy and majority vote Linear codes Understanding quantum error correction Working with bit-flip code Working with phase-flip code Working with Shor code Summary Chapter 12: Quantum Cryptography – Quantum Key Distribution Technical requirements Introducing classical cryptography techniques The basics of cryptography Overviewing the main types of encryption algorithms Understanding quantum key distribution Describing the quantum key distribution protocol Implementing the quantum key distribution in Silq Summary Chapter 13: Quantum Machine Learning Introducing classical machine learning Types of learning The K-means clustering algorithm Artificial neural networks Kernel support vector machines (SVMs) Getting started with quantum machine learning Encoding classical data into a quantum state Kernel-based quantum machine learning models Learning about the quantum K-means algorithm Exploring variational circuits Variational quantum classifier (VQC) Variational quantum eigensolver (VQE) Quantum approximate optimization algorithm (QAOA) The latest developments in the field of quantum machine learning and quantum computing Summary Further reading About Packt Other Books You May Enjoy Index