# JNTU-K B.TECH R19 4-2 Syllabus For Quantum computing PDF 2022

### Get Complete Lecture Notes for Quantum computing on Cynohub APP

You will be able to find information about Quantum computing along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding Quantum computing after reading this blog. Quantum computing has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. Quantum computing can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.

All of the Topic and subtopics related to Quantum computing are mentioned below in detail. If you are having a hard time understanding Quantum computing or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.

### Quantum computing Unit One

#### Introduction: Quantum Measurements

Introduction: Quantum Measurements Density Matrices, Positive-Operator Valued Measure, Fragility of quantum information: Decoherence, Quantum Superposition and Entanglement, Quantum Gates and Circuits.

### Quantum computing Unit Two

#### Quantum Basics and Principles

Quantum Basics and Principles: No cloning theorem & Quantum Teleportation, Bell’s inequality and its implications, Quantum Algorithms & Circuits.

### Quantum computing Unit Three

#### Algorithms

Algorithms: Deutsch and Deutsch–Jozsa algorithms, Grover’s Search Algorithm, Quantum Fourier Transform, Shore’s Factorization Algorithm.

### Quantum computing Unit Four

#### Performance, Security and Scalability

Performance, Security and Scalability: Quantum Error Correction: Fault tolerance; Quantum Cryptography, Implementing Quantum Computing: issues of fidelity; Scalability in quantum computing.

### Quantum computing Unit Five

#### Quantum Computing Models

Quantum Computing Models: NMR Quantum Computing, Spintronics and QED MODEL, Linear Optical MODEL, Nonlinear Optical Approaches; Limits of all the discussed approaches, Future of Quantum computing.

### Quantum computing Course Objectives

 This course teaches the fundamentals of quantum information processing, including quantum computation, quantum cryptography, and quantum information theory.

### Quantum computing Course Outcomes

By the end of this course, the student is able to

 Analyze the behaviour of basic quantum algorithms

 Implement simple quantum algorithms and information channels in the quantum circuit model

 Simulate a simple quantum error-correcting code

 Prove basic facts about quantum information channels

### Quantum computing Text Books

1) Eric R. Johnston, Nic Harrigan, Mercedes and Gimeno-Segovia “Programming Quantum Computers: Essential Algorithms And Code Samples, SHROFF/ O’Reilly.

2) Dr. Christine Corbett Moran, Mastering Quantum Computing with IBM QX: Explore the world of quantum computing using the Quantum Composer and Qiskit, Kindle Edition Packt

3) V.K Sahni, Quantum Computing (with CD), TATA McGrawHill.

### Quantum computing Reference Books

1) Chris Bernhardt, Quantum Computing for Everyone (The MIT Press).

2) Michael A. Nielsen and Issac L. Chuang, “Quantum Computation and Information”, Cambridge (2002).

3) Riley Tipton Perry, “Quantum Computing from the Ground Up”, World Scientific Publishing Ltd (2012).

4) Scott Aaronson, “Quantum Computing since Democritus”, Cambridge (2013).

5) P. Kok, B. Lovett, “Introduction to Optical Quantum Information Processing”, Cambridge.

### Scoring Marks in Quantum computing

Information about JNTU-K B.Tech R19 Quantum computing was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.

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