So You Want to Learn Quantum Computing? Here’s How. | Built In (2024)

Quantum computing is growing — in academia, but also commercially. Companies like IBM, Google and Microsoft are racing to build the first fully-functioning quantum computer. In the past few years we’vewitnessed rapid development in quantum computing, on the hardware and software sides.

Currently,(very faulty) quantum computersactually exist.You can access them through the cloud and use them to execute codes written in Python or other programming languages. Making quantum computers available online to anyone encourages more people to get into the field and see what the hype is all about.

So, if you’re curious about quantum computing and its potential to improve many fields including machine learning and artificial intelligence (not to mention the premise that it can solve problems current computers fail to address), keep reading.

What Is Quantum Computing?

Quantum computing is a computing methodology that uses the power of quantum mechanics, such as superposition and entanglement, to perform faster computations. Accessing this power will allow us to overcome problems the current computer struggles to solve.

How to Learn Quantum Computing

Finding suitable materials can be a hassle when someone tries to get into a new field; after all, the internet is full of good (and not-so-good) resources. In this article, I’ll go through some resources you can use to get started on your quantum computing learning journey. These materials will help you learn how to think about problems through a quantum lens, especially when it comes to quantum hardware, algorithms and circuits.

How to Learn Quantum Computing

  • Qiskit
  • Quantum Computing: A Gentle Introduction
  • Introduction to Classical and Quantum Computing
  • Science Without the Gobbeldygook
  • Quantum Computation and Quantum Information

Qiskit

IBM is one of the companies putting a lot of effort into building a quantum community; they’re behind the most-used quantum computing Python package, Qiskit.

Qiskit (quantum information science kit) is an open-source Python package that allows you to implement, simulate and run quantum algorithms on IBM’s actual hardware. If you’re looking for an excellent place to start learning everything quantum, look no further than the Qiskit YouTube channel and textbook.

The Qiskit channel covers the fundamentals of quantum computing and details how you can implement these fundamentals using code. The channel is active andthey post new content every week.

If you’re an absolute beginner to the world of quantum computing,the Introduction to Quantum Computing and Quantum Hardware playlist is the best place to start.

Although the Qiskit YouTube channel goes in-depth about various aspects of quantum computing, some people (myself included) prefer to have written documentation in addition to a video tutorial. Having written content makes it easier to actually practice with the code or solve some exercises. For that, I recommend giving the Qiskit textbook a read. Like the YouTube channel, IBM continuously updates the textbook. In fact, IBM is currently working on a new version of aninteractive book that will allow you to have a more comprehensive learning experience.

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Quantum Computing: A Gentle Introduction

Over the past couple of years, many books have addressed quantum computing and physics but perhaps the easiest one to access is Quantum Computing: A Gentle Introduction from MIT Press.

This book is an excellent start for any quantum newbie because it introduces you to the field’s fundamentals and terminologies. Moreover, itexplains the core concepts of quantum computing like the construction of qubits, superposition and entanglement.

The book will walk you through the transition from classical to quantum computing and the basics of quantum mechanics. In addition, it also covers some examples of quantum algorithms(such as Grover’s and Shor’s algorithms)and how they actually work. After reading this book, you’ll be able to comprehend quantum computing research papers easily.

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Introduction to Classical and Quantum Computing

Thomas Wong recently published another great, freely available book:Introduction to Classical and Quantum Computing. Wong is a physicist passionate about spreading and simplifying quantum knowledge. He also created Qubit Touchdown, a quantum computing board game that teaches the player the basics of single-qubit gates and how they behave.

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Science Without the Gobbeldygook

Suppose you want more theoretical information about the field of quantum physics, like in-depth information about superposition, entanglement and all those other fancy quantum terms. In that case, you need to check Sabine Hossenfelder’s Science Without the Gobbeldygook, and, in particular, her playlist for quantum enthusiasts:Understanding Quantum Mechanics. The playlist covers fundamental topics in quantum mechanics in easy-to-understand terms that will get you up-to-date with the foundational concepts so you can dig deeper into more complex topics.

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Quantum Computation and Quantum Information

Finally, suppose you want to gain more knowledge about how quantum algorithms work and what makes them so magical. In that case, you can go through the most famous book on quantum computing, Quantum Computation and Quantum Information, by Michael A. Nielsen & Isaac L. Chuang. Because this book is quite academic, I would suggest you give some of the other resources a try first before you dive in. However, once you finish that book, you’llfeel like a quantum expert.

The concepts of quantum computing may seem complex and challenging to wrap your head around at first. ButI like to believe that the problem is not with the concepts themselves; instead, it’s how they’re taught.

I started my PhD in quantum computingover three years ago. I’ve gone through a wide array of materials and resources during my own journey soI know how difficult it is to get into the field and fully understand its logic. Now you have all the tools you need to get into quantum computing and kickstart your quantum careerwith ease.

So You Want to Learn Quantum Computing? Here’s How. | Built In (2024)

FAQs

Why do you want to learn quantum computing? ›

Researchers are working to both understand which problems are suited for quantum speed-ups and develop algorithms to demonstrate them. In general, it is believed that quantum computers will help immensely with problems related to optimization, which play key roles in everything from defense to financial trading.

How to learn quantum computing step by step? ›

You need to study linear algebra, complex numbers, probability theory, and quantum phenomena: superposition, entanglement, and quantum measurement. Then, study the quantum computing theory.

Why did NASA shut down the quantum computer? ›

The abrupt shutdown of NASA's quantum computing project was triggered by an unforeseen incident during a routine test. During the analysis of a complex simulation, the quantum computer demonstrated unprecedented computational power, solving a previously intractable problem.

Can you teach yourself quantum computing? ›

After spending 100 to 200 hours in self-learning, learners will learn quantum computing foundations, know the research point, and get into the intermediate or advanced levels. Self-learning quantum computing is not simple, but it is possible.

Why am I interested in quantum computing? ›

Quantum computing opens paths for complex problem-solving that traditional computers cannot address. It offers boundless opportunities encompassing areas like optimization, machine learning, sampling and simulation, etc.

What is the main goal of quantum computing? ›

Quantum computation has the potential to solve some of the most challenging computational problems faced in chemistry, allowing the scientific community to do chemical simulations that are intractable today. For example, Pasqal built their QUBEC computational software to run chemistry simulations.

How hard is quantum computing? ›

Quantum computing is more complex than classical computing because of the depth of the foundational science that underlies it. And, there's still a lot of scientific work to be done before the world can go quantum.

What skills do you need for quantum computing? ›

Technical, mathematical and soft skills

Maths is definitely a skill you need for quantum. Specifically, linear algebra, probability theory and statistics. Computer science skills such as algorithms, programming and data structuring are required in combination also.

Does quantum computing pay well? ›

Yes, jobs in quantum computing pay very well. The average salary for a quantum computing job in the United States is $131,241, with a high of $214,500.

Does NASA use quantum computing? ›

NASA's QuAIL team has extensive and experience utilizing near-term quantum computing hardware to evaluate the potential impact of quantum computing.

Why are quantum computers bad? ›

Quantum computers are sensitive to noise and difficult to calibrate. Unlike traditional computers that would experience a bit flip from 0 to 1 or vice versa, quantum errors are more difficult to correct because qubits can take an infinite number of states.

Has anyone built a quantum computer yet? ›

Quantum computers are being manufactured and used. But they cannot yet make the large-scale calculations that are expected to be possible in the future. You may be one of those waiting for the quantum computer, the arrival of which we have been told is imminent for several years.

How can I learn quantum computing for free? ›

Open HPI. Video lectures can provide an interactive way to learn quantum computing concepts. Here are some free video lecture series: Introduction to Quantum Computing with Qiskit (with IBM Quantum): In this course you will learn how to use Qiskit for working with quantum computers.

What should I learn before quantum computing? ›

Within each field, the subjects you will want to know are: Physics: First learn quantum mechanics. At more advanced levels, various aspects of quantum information overlap with AMO, condensed matter and high energy. Math: First linear algebra and probability.

What math is needed for quantum computing? ›

Some familiarity with linear algebra is essential to understand quantum computing.

What are the advantages of learning quantum computing? ›

Quantum computers excel at complex problem solving. The unique properties of qubits let them solve certain classes of problems faster and more efficiently than traditional computers. Quantum technology is advantageous for materials science, pharmaceutical research, subatomic physics, and logistics.

What is interesting about quantum computing? ›

Mind-Bending Quantum Facts

Quantum computing requires extremely cold temperatures, as sub-atomic particles must be as close as possible to a stationary state to be measured. The cores of D-Wave quantum computers operate at -460 degrees f, or -273 degrees c, which is 0.02 degrees away from absolute zero.

Why is it important to learn about quantum mechanics? ›

Quantum mechanics led to the development of things like lasers, light-emitting diodes, transistors, medical imaging, electron microscopes, and a host of other modern devices. Your cell phone would not exist without the science of quantum mechanics!

Why is quantum machine learning important? ›

Quantum machine learning significantly enhances existing machine learning algorithms, improving their accuracy, effectiveness and efficiency. By leveraging quantum processing, complex calculations can be solved at unprecedented speeds and at scale.

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