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Physical Basics of Quantum Computing

Approx. 10 hours to complete

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Course Summary

This course covers the physical basis of quantum computing and the principles of quantum mechanics that make it possible. You'll learn about quantum gates and circuits, quantum algorithms, and the challenges of building a quantum computer.

Key Learning Points

Gain a fundamental understanding of quantum mechanics and quantum computing
Learn about quantum gates and circuits, and how they can be used to solve problems faster than classical computers
Explore quantum algorithms and their applications in cryptography, optimization, and more

Job Positions & Salaries of people who have taken this course might have

- USA: $112,000
- India: ₹1,500,000
- Spain: €50,000
- USA: $112,000
- India: ₹1,500,000
- Spain: €50,000
- USA: $120,000
- India: ₹1,800,000
- Spain: €60,000
- USA: $112,000
- India: ₹1,500,000
- Spain: €50,000
- USA: $120,000
- India: ₹1,800,000
- Spain: €60,000
- USA: $105,000
- India: ₹1,200,000
- Spain: €45,000

Learning Outcomes

Understand the physical basis of quantum computing
Design and implement quantum gates and circuits
Apply quantum algorithms to solve real-world problems

Prerequisites or good to have knowledge before taking this course

Familiarity with linear algebra and calculus
Basic programming skills in Python

Course Difficulty Level

Intermediate

Course Format

Online
Self-paced

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Quantum Cryptography
Quantum Machine Learning
Quantum Mechanics and Quantum Computation

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Description

Quantum information and quantum computations is a new, rapidly developing branch of physics that has arisen from quantum mechanics, mathematical physics and classical information theory. Significant interest in this area is explained by the great prospects that will open upon the implementation of its ideas, capturing almost all areas of human activity related to the transfer, storage and processing of information.

The purpose of this course is to show the basic ideas of quantum informatics, as well as the physical laws and basic mathematical principles. Much attention is paid to such phenomena as quantum entanglement, quantum parallelism, and quantum interference. It is these phenomena that underlie most of the known quantum protocols and algorithms, which are devoted to individual sections of this course. In particular, from the course, students will learn about quantum teleportation, quantum algorithms, quantum error correction and other topics related to the quantum computations theory. As a result of the course, the students will be able to master the modern mathematical apparatus of quantum mechanics used in quantum computations, master the ideas that underlie the most important quantum logic algorithms and protocols for transmitting and processing quantum information, and learn how to solve problems on these topics. About The course consists of six modules, which are arranged in two parts. The first part (Modules 1-2) focuses on the mathematical apparatus and the foundations of Quantum Mechanics. Physical laws and processes which underlay quantum computations are extensively described. In the second part of the course (Modules 3-6), we show how quantum computations, quantum logic algorithms and protocols of quantum information transfer could be implemented using the laws of quantum physics and phenomena discussed in the first part. Module 1 focuses on the postulates of Quantum Mechanics and Quantum Information Theory. We introduce the important concept of a qubit and consider variants of its physical implementation. Certain statistical aspects of quantum theory are discussed. The concept of density matrix and separability, the notion of pure and mixed quantum states are introduced. In Module 2 we focus on the phenomenon of quantum entanglement and the mathematical description of entangled physical systems. We also describe an experiment aimed to test Bell inequalities and consider the well-known EPR paradox. In Module 3 we compare classical and quantum computations. Particularly, elementary logical elements (gates) and the simplest commutation schemes are described. The distinctive features of quantum computations are explained in Module 4. In particular, the No-Cloning theorem is proved, which forbids one to copy a qubit, quantum parallelism and superdense coding are discussed. We also describe in detail the protocol of quantum teleportation and give an example of its physical implementation. The well-known quantum logic algorithms are described in Module 5, these are Deutsch and Deutsch-Jozsa algorithms, Quantum Fourier Transform and Shor’s algorithms for integer factorization. In Module 6 we discuss quantum and classical error correction theory: we highlight their differences and similarities, classify the possible error types and describe protocols of their correction. The material is given in a form of short but informative videos with presentations and a detailed syllabus. At the end of every module, there are tests and control tasks according to the discussed topics. The tasks are organized in the form of problems and tests with multiple choice. Every module is supplemented with a literature list, which contains references on the mentioned researches and extra sources for self-study. Requirements Solid knowledge in linear algebra and calculus, basic knowledge in atom and quantum physics. Interest in quantum physics and quantum information theory. Program Module 1. Statistical aspects of quantum mechanics. Qubit. Physical implementation of a qubit. Qubits as a quantum unit of information. Bloch Sphere. Pure and mixed states of quantum systems. Density matrix and its properties. Qubit systems. Inseparability of quantum systems. The reduced density matrix. Module 2. Quantum entanglement. Schmidt decomposition. Bellstates. EPR paradox. Bell inequalities. Module 3. Classical and quantum logical operations. General principles of classical computations. The simplest classical computations. Landauer principle. Reversible gates. Pauli matrices. Single-qubit logic gates. Controlled quantum logic gates. Module 4.Distinctivefeaturesofquantumcomputations. No-cloningtheorem. Superdense coding. Quantumteleportation. Experimentonqubitquantumteleportation. Quantumparallelism. Module 5. Quantum Algorithms. Deutsch algorithm. Deutsch–Jozsa algorithm. Quantum Fourier Transform. Eigenvalue algorithm. Shor's algorithm for integer factorization. Module 6.Basics of error correction theory. Distinctive features of classical error correction theory. Classical three-bit code. Distinctive features of quantum error correction theory. Three-qubit code. Learning outcomes The student who completed this course should: To know • fundamental concepts of quantum mechanics and the quantum information theory; • The most important protocols for the transfer and processing of quantum information; • The most important quantum logic algorithms; • The basic protocols of the classical and quantum error correction theory. To be able to • work with classical and quantum circuits; • solve problems in the quantum information theory. To master • mathematical apparatus of quantum mechanics used in the quantum information theory.

Outline

Statistical aspects of quantum mechanics
Introduction
Qubit. Physical implementations of qubit
Qubit as a quantum unit of information. The Bloch sphere
Pure and mixed states of quantum systems
Density matrix and its properties
Qubit systems. Inseparability of quantum systems
Reduced density matrix. Part 1
Reduced density matrix. Part 2
Presentation

Quantum entanglement
Schmidt decomposition
Bell states
EPR paradox
Bell inequalities
Presentation

Classical and quantum logical operations
General principles of classical computations
The simplest classical computations
Landauer principle. Reversible gates
The Pauli matrices
Single-qubit logic gates
Controlled quantum logic gates
Presentation
TOTAL TEST

Distinctive features of quantum computations
No-cloning theorem
Superdense coding
Quantum teleportation
Experiments on quantum teleportation of a qubit
Quantum Parallelism
Presentation

Quantum algorithms
Deutsch algorithm
Deutsch–Jozsa algorithm
Quantum Fourier Transform
Eigenvalue algorithm
Shor's algorithm for integer factorization. Part 1
Shor's algorithm for integer factorization. Part 2
Presentation
TOTAL TEST

Basics of error correction theory
Features of classical error correction theory
Classical three-bit code
Features of quantum error correction theory
Three-qubit code
Presentation
TOTAL TEST

Summary of User Reviews

Read reviews for Physical Basis of Quantum Computing on Coursera. Users have rated this course highly and appreciated its in-depth coverage of quantum computing concepts. However, some users found the course challenging due to its advanced level.

Key Aspect Users Liked About This Course

in-depth coverage of quantum computing concepts

Pros from User Reviews

Course covers a wide range of quantum computing topics
Instructors explain complex concepts in an easy-to-understand way
Course provides hands-on experience with programming quantum computers
Great for those who want to learn about quantum computing from scratch
Excellent preparation for more advanced quantum computing courses

Cons from User Reviews

Course can be challenging for beginners with no background in physics or computer science
Some users found the course too advanced and difficult to follow
Lack of practical applications of quantum computing concepts
Course material is not updated regularly
Some users found the pace of the course to be too slow

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