Quantum computing is a novel technology that employs quantum physics to
solve problems that standard computers can't handle. Quantum computing is a
sort of system that does calculations using the collective qualities of
quantum states including superposition, interference, and entanglement.
Quantum computers are machines that can carry out quantum calculations. I-5
Despite the fact that quantum computers are currently too small to
outperform traditional (conventional) computers in practical applications,
they are expected to be capable of performing some computational tasks far
faster than traditional computers, such as integer factorization (which
underpins RSA encryption). Quantum information science is a branch of
research that studies quantum computers.
"Quantum Computing" is one of those buzzwords that gets thrown about a lot
yet is often misunderstood. The causes for this situation could be several,
but one of the most important is that it is a relatively new scientific
field with few unambiguous interpretations.
The word "quantum," which relates to quantum mechanics, one of the most counter-intuitive ways to describe our universe, is the fundamental roadblock here.
The word "quantum," which relates to quantum mechanics, one of the most counter-intuitive ways to describe our universe, is the fundamental roadblock here.
But have no fear! This is not a quantum mechanics course. We'll softly
touch it at first, then set it aside to focus on the mathematical model of
quantum computers that physicists have graciously developed for us.
They'll discuss computational complexity theory and related challenges in addition to computer generations. All of this points to the conclusion that quantum computing is the way of the future.
Create, discuss, and analyze genuine quantum algorithms, as well as a real quantum computer for one of them!
Shor's algorithm for period finding is the most well-known quantum computation in the world would also be covered.
The course is separated into the following sections, each of which has a consistent structure to assist you in navigating according to your needs:
Part 1: A Quick Overview of Quantum Computing
Part 2: Quantum Machine Learning Fundamentals
Part 3 : Quantum Theory in Diagrams
Part 4 : Quantum Natural Language Processing
Two scientific organizations - physicists and mathematicians - collaborated to develop the specialty, which allows you to examine quantum computing from several perspectives.
Despite the fact that the same themes are presented in different courses, they are approached from diverse perspectives and with varying degrees of information. We hope that as you progress down this path of gradual immersion, you will begin to feel like a true quantum computing expert.
Acquired abilities:
Classical and quantum calculations are compared.
During the first week, the topic is explained in simple words (hopefully) where a quantum computer's computational capability derives from and why it is so difficult to build. You don't need any math beyond a high school level to comprehend the materials this week.
This isn't to say that the entire course is made up of mathematics (however
there will be enough of it). We'll make a simple working quantum computer
with our bare hands and look at several algorithms planned for larger
quantum computers that haven't been constructed yet.
5 Best Quantum Computing Online Courses for Beginners in 2023
Here are the Top 5 courses which would help you in learning Quantum Computing in 20232. These online courses are curated from the best online learning websites like Udemy and Coursera. I will add more courses when I found but at the moment these are the best quantum computing courses you can join1. The Complete Quantum Computing Course [Udemy]
Quantum computing (QC) will have a significant impact on the industry in the near future, affecting everything from healthcare and pharmaceuticals to manufacturing, finance, and communication systems.
It will empower businesses to achieve things that are not just faster than
traditional computers, but also fundamentally different. Quantum computers
aren't a long way off. The quantum era is here, and managers and
executives must be aware of the business implications of this new frontier
and be ready for disruption.
You will be able to differentiate the hype from the promise after
completing this class, and you will have a fundamental understanding of
how a quantum computer operates and its applications.
You'll be able to answer the following basic Quantum Computing questions:
You'll be able to answer the following basic Quantum Computing questions:
- What is a quantum computer, and how does it work?
- What kinds of issues can QC help you tackle quickly?
- When will a quantum computer be available?
Here is the link to join this course - The Complete Quantum Computing Course
2. The Introduction to Quantum Computing - Coursera
This is one of the best courses to learn Quantum Computing for Beginners in 2023. This is also one of the most popular Quantum Computing courses on Coursera with 32K students.
The course materials are intended for computer scientists, engineers,
and programmers who feel that something other than HLL programming will
propel our computing power to infinity.
The following are the topics covered in the four modules:
What would you use to describe a computation? What is the history of computations?
The following are the topics covered in the four modules:
What would you use to describe a computation? What is the history of computations?
They'll discuss computational complexity theory and related challenges in addition to computer generations. All of this points to the conclusion that quantum computing is the way of the future.
Create, discuss, and analyze genuine quantum algorithms, as well as a real quantum computer for one of them!
Shor's algorithm for period finding is the most well-known quantum computation in the world would also be covered.
Here is the link to join this course - The Introduction to Quantum Computing
3. QC101 Quantum Computing & Quantum Physics for Beginners [Udemy]
This is a brief course on Quantum Natural Language Processing that covers the fundamentals of QNLP and how to use the lambeq QNLP toolbox to explore its practical applications. The course does not cover the mathematical foundations, such as category theory, but it does touch on diagrammatic quantum theory, which is solely utilized to create DisCoCat, a graphical algorithm (Distributional Compositional Categorical).The course is separated into the following sections, each of which has a consistent structure to assist you in navigating according to your needs:
Part 1: A Quick Overview of Quantum Computing
Part 2: Quantum Machine Learning Fundamentals
Part 3 : Quantum Theory in Diagrams
Part 4 : Quantum Natural Language Processing
4. Quantum Computing: from Basics to the Cutting Edge Specialization
This specialization will provide you access to quantum technology. You'll learn about the fundamentals of quantum computing and how to put them into practice.Two scientific organizations - physicists and mathematicians - collaborated to develop the specialty, which allows you to examine quantum computing from several perspectives.
Despite the fact that the same themes are presented in different courses, they are approached from diverse perspectives and with varying degrees of information. We hope that as you progress down this path of gradual immersion, you will begin to feel like a true quantum computing expert.
Acquired abilities:
Classical and quantum calculations are compared.
By the way, if you find Coursera courses useful, which they are because
they are created by reputed companies and universities around the world, I
suggest you join the Coursera Plus, a subscription plan from Coursera which gives you unlimited access to
their most popular courses, specialization, professional certificate, and
guided projects. It cost around $59/per month and provides unlimited
access.
5. Quantum Computing Made Simple [Udemy]
This is another quantum computing introduction course. Here, the focus is on how the mathematical model of quantum computing emerges from physics and experiment, avoiding most formulas and detailed proofs (where possible).During the first week, the topic is explained in simple words (hopefully) where a quantum computer's computational capability derives from and why it is so difficult to build. You don't need any math beyond a high school level to comprehend the materials this week.
The mathematical model of quantum computing and how it is experimentally
justified are the topics of the second and third weeks. Here's where
you'll need to do some extra math. Some simple differential equations and
utilize complex numbers to introduce the concept of a linear vector space
have been examined.
The fourth week is devoted to quantum physics' mathematical language. If you wish to dig deeper, you might need this.
Here is the link to join this course - Quantum Computing Made Simple
The fourth week is devoted to quantum physics' mathematical language. If you wish to dig deeper, you might need this.
Here is the link to join this course - Quantum Computing Made Simple
That's all about the best online courses to learn Quantum Computing in 2023. Quantum computing is a novel technology that employs quantum physics to
address issues that standard computers can't handle. In practical
applications, current quantum computers are too tiny to outperform
traditional (conventional) computers.
They are, nevertheless, expected to be capable of tackling some
computational problems far more quickly than standard computers. So, in
order to keep up with the latest technologies, one must take these
courses.
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