What to study: Quantum computing (2024)

To many, quantum computing is a complex, futuristic concept. To computer science enthusiasts, however, it could hold an opportunity to become an industry pioneer.

Quantum computers promise next-level computational power — Microsoft, Google, and Amazon are all in on the game. Google recently demonstrated quantum supremacy, which proves the power and potential of this hybrid technology.

Just what is quantum computing, and how can you break into this fast-developing industry? Watch Google scientists explain it in the video below.

According to TechHQ, quantum computing will have “outgrown its infancy” and be able to help solve real-world problems by 2025 — at which point the industry will be worth US$5.8 billion.

It holds the potential to realise green solutions towards carbon neutrality and smart city infrastructure. It is even being used to find a cure for COVID-19.

What do I need to study quantum computing?

As opposed to digital computers,quantum computers are based on transistors. They use the principle of superposition to encode quantum bits, instead of binary digits.

Therefore to study quantum computing, you will require a background in physics, mathematics, and computer science. This includes knowledge of exponents, vectors, sine waves, linear algebra, as well as probability and stochastic processes.

You should also be familiar with basic quantum mechanics, computational physics, Fourier transformers, and algorithms. For a beginner’s introduction to quantum information science, check out “Quantum Computation and Quantum Information”by Nielsen and Chuang.

What to study: Quantum computing (1)

Google CEO Sundar Pichai poses with one of the company’s quantum computers in the Santa Barbara lab. Google proved quantum supremacy in 2019. Source: AFP Photo/Google/Handout

What will I learn, and where can I learn it?

A quantum computing course includes modules on quantum principles, algorithms, chemistry, and hardware. You will also dive deep into machine learning, involving the concepts of superposition, entanglement and interference.

Online courses may be a good place to start your quantum education.First, check out this FutureLearn course developed by Keio University in Japan, or this introductory course on Udemy. Next,this two-course programme from the Massachusets University of Technology will help you understand the principles and applications of quantum computers.

Besides that, Imperial College London, the University of Warwick, and the University of Kent all have quantum computing modules.

What to study: Quantum computing (2)

An illustration of a quantum processor in Google’s Sycamore machine. This quantum computer can execute what classic computers would take 10,000 years to complete in just 200 seconds. Source: AFP Photo/ Google/ Handout

What are my career opportunities?

Graduates can explore a bright future in several industries.

IBM Q is now working to develop quantum applications in over 100 organisations. Its 53-qubit system is put to use in airlines, automotive, banking, finance, energy, insurance, materials, and electronics.

For example, companies like Volkswagen and Daimler are already using quantum computing to research ways to improve the chemical composition of their electric car batteries. Delta Airlines is developing blueprints for its applications in the airline industry.

Tech giants have chartered clear career pathways for developers, engineers, architects, and researchers in the current quantum research environment. Graduates can pursue impactful careers in these fields and many yet to be discovered.

We have a glimpse at the future of work, and you can prepare for it now.

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What to study: Quantum computing (6)

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As a quantum computing enthusiast with a deep understanding of the field, I can attest to the transformative potential of quantum computers and the exciting opportunities they present. Quantum computing is not just a futuristic concept; it's a rapidly evolving field that has already achieved significant milestones.

One notable achievement is Google's demonstration of quantum supremacy, a testament to the computational power of quantum computers. This breakthrough, achieved in 2019, showcased the ability of quantum computers to perform calculations that would take classical computers an impractical amount of time. Google's Sycamore quantum processor, as mentioned in the article, executed a task in 200 seconds that would take traditional computers 10,000 years.

The article correctly highlights the involvement of major players like Microsoft, Google, and Amazon in the quantum computing race. Quantum computing is poised to outgrow its infancy by 2025, becoming a $5.8 billion industry, according to projections from TechHQ. The technology holds promises not only for enhanced computational capabilities but also for addressing real-world problems, including contributing to green solutions, smart city infrastructure, and even finding a cure for diseases like COVID-19.

To break into the quantum computing industry, the article rightly suggests that individuals need a solid background in physics, mathematics, and computer science. Quantum computers, unlike their classical counterparts, are based on the principles of superposition, and understanding quantum bits (qubits) involves knowledge of exponents, vectors, sine waves, linear algebra, probability, and stochastic processes. Moreover, a grasp of basic quantum mechanics, computational physics, Fourier transformers, and algorithms is essential for anyone looking to delve into quantum computing.

For those interested in learning about quantum computing, the article provides valuable information on available courses. Institutions like Keio University in Japan, the Massachusetts Institute of Technology (MIT), Imperial College London, the University of Warwick, and the University of Kent offer courses covering quantum principles, algorithms, chemistry, and hardware. Online platforms like FutureLearn and Udemy also provide introductory courses for beginners.

The career opportunities in quantum computing are vast and expanding. Major companies like IBM Q are actively developing quantum applications across various industries, including airlines, automotive, banking, finance, energy, insurance, materials, and electronics. Notably, companies like Volkswagen and Daimler are leveraging quantum computing to enhance their electric car battery research, while Delta Airlines is utilizing quantum computing for applications in the airline industry.

Tech giants are paving the way for quantum computing careers, offering clear pathways for developers, engineers, architects, and researchers. Graduates in these fields can expect impactful and groundbreaking careers, contributing to the ongoing quantum research environment. The future of work is unfolding in the realm of quantum computing, and individuals can prepare for it by gaining the necessary skills and knowledge today.

What to study: Quantum computing (2024)

FAQs

What should I study for quantum computing? ›

Professionals in quantum computing utilize skills in computer science, mathematics and other related fields. These are some of the most in-demand skills: High-level math: Quantum computing requires applications of principles of trigonometry, calculus and other advanced mathematics.

What is needed to understand quantum computing? ›

For beginners in quantum computing, essential mathematics includes linear algebra for understanding quantum gates and qubit states, calculus for grasping quantum algorithms' mathematical foundations, and probability theory for comprehending quantum measurement outcomes.

Can I self study 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.

Is quantum computing difficult to study? ›

Quantum computing is not hard. Sure, we can do hard things with it, but that's true with classical computing, as well. While it's true you need specialized knowledge to simulate molecules quantumly, it's also true you need specialized knowledge to simulate molecules classically.

What to 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 do I need for quantum computing? ›

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

Is quantum computing math heavy? ›

Quantum mechanics is a mathematics heavy field and this can be intimidating for someone who is new to the field, especially if they do not have a strong math background.

What is the prerequisite to learn quantum computing? ›

To learn quantum computing, you need a strong foundation in linear algebra, complex numbers, statistics, and boolean logic. You must master these prerequisites before you can begin learning about quantum computing.

Does quantum computing need calculus? ›

Linear algebra, analysis (not just calculus), Fourier transforms and distributions (from a reasonably sophisticated perspective), tensors, complex analysis, probability theory, propositional logic (qm is a many valued logic, but most physicists don't know what a logic is). But mostly, linear algebra.

How much time does it take to learn quantum computing? ›

TL;DR - anywhere between 6 and 18 months. If you have a hardcore theoretical CS background, you probably have a good grasp of: Complex numbers, linear algebra, Fourier transforms, probability, etc. If not, those are completely essential.

What classes should I take for quantum computing? ›

Quantum Computing Courses and Certifications
  • Quantum Mechanics Courses.
  • Physics Courses.
  • Mathematics Courses.
  • Astronomy Courses.
  • Machine Learning Courses.
  • Cryptography Courses.
  • Electrical Engineering Courses.
  • Information Technology Courses.

Does quantum computing require coding? ›

In the case of quantum computing, therefore, the term often refers to coding for quantum computers. Quantum computer coding, in fact, uses classical programming languages and looks like classical computer programming, so the fundamental difference between the two is what happens at compilation and execution times.

How to begin learning quantum computing? ›

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.

What is the biggest problem with quantum computing? ›

Compared with standard computers, quantum computers are extremely susceptible to noise. The quantum state of qubits is extremely fragile and any disturbance, such as a slight vibration or a change in temperature, can uncontrollably affect the computer, causing information stored to be lost.

What degree do you need to study quantum computing? ›

Get a bachelor's degree

You can select a degree in computer science, physics, programming, or mathematics. It's beneficial to review each career program and talk with some professors who can guide you on the most adequate major for your career and long-term professional goals in quantum computing.

What education is required for quantum computing? ›

If you want to become a quantum computing professional, you must have a strong grasp of math and science because you'll be working with numbers and calculations. Consequently, you'll need to earn an undergraduate degree at a university in physics, programming, mathematics, or computer science.

What majors are good for quantum computing? ›

Choose the right major.

The most relevant majors for quantum computing are physics, math, and computer science. If you're more oriented to building the components, electrical engineering is another good choice. Whatever you choose, study in-depth from day one.

What programming language should I learn for quantum computing? ›

Python is a great programming language to start learning if you're interesting in working with quantum computers one day. It's also a generally good programming language to add to your skillset! It's one of the fastest growing programming languages and big tech companies are always hiring Python developers.

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