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Quantum Computing: A Shift from Bits to Qubits

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Cover of 'Quantum Computing: A Shift from Bits to Qubits'

Table of Contents

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    Book Overview
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    Chapter 1 Quantification of Correlations in Quantum States
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    Chapter 2 From Quantum Mechanics to Quantum Computing
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    Chapter 3 Phase Space Quantization I: Geometrical Ideas
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    Chapter 4 Phase Space Quantization II: Statistical Ideas
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    Chapter 5 Efficient Quantum Circuit for Karatsuba Multiplier
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    Chapter 6 Quantum Concepts
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    Chapter 7 Evolutionary Analysis: Classical Bits to Quantum Qubits
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    Chapter 8 Non-silicon Computing with Quantum Superposition Entanglement Using Qubits
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    Chapter 9 A Reversible Hybrid Architecture for Multilayer Memory Cell in Quantum-Dot Cellular Automata with Minimized Area and Less Delay
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    Chapter 10 Quantum Neural Network for Image Classification Using TensorFlow Quantum
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    Chapter 11 Quantum Network Architecture and Its Topology
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    Chapter 12 Quantum Computing-Enabled Machine Learning for an Enhanced Model Training Approach
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    Chapter 13 Numerical Modeling of the Major Temporal Arcade Using a Quantum Genetic Algorithm
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    Chapter 14 Entangled Quantum Neural Network
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    Chapter 15 Exploring IBM Quantum Experience
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    Chapter 16 Quantum Programming on Azure Quantum—An Open Source Tool for Quantum Developers
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    Chapter 17 Survey of Open-Source Tools/Industry Tools to Develop Quantum Software
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    Chapter 18 Simulating Quantum Principles: Qiskit Versus Cirq
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    Chapter 19 Quantum Machine Learning in Prediction of Breast Cancer
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    Chapter 20 Understanding of Argon Fluid Sensor Using Single Quantum Well Through K-P Model: A Bio-medical Application Using Semiconductor Based Quantum Structure
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    Chapter 21 A Study on Quantum Cryptography and Its Need
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    Chapter 22 Evolution of Quantum Machine Learning and an Attempt of Its Application for SDN Intrusion Detection
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    Chapter 23 Implications of Deep Circuits in Improving Quality of Quantum Question Answering
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Title
Quantum Computing: A Shift from Bits to Qubits
Published by
Springer Nature Singapore, April 2023
DOI 10.1007/978-981-19-9530-9
ISBNs
978-9-81-199529-3, 978-9-81-199530-9
Editors

Pandey, Rajiv, Srivastava, Nidhi, Singh, Neeraj Kumar, Tyagi, Kanishka

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