Other answers to this question have been written by ChrisFerrie (more introductory than this page) and Xiaodi Wu (morecomprehensive than this page).
General background: Quantum computing (theory) is at the intersection of math, physics andcomputer science. (Experiment also can involve electrical engineering.) Eventually youwill want to learn aspects of all of these fields, but when starting you can use any foran entry into the field. 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. Later my preferences would be to learn some group and representation theory, random matrix theory and functional analysis, but eventually most fields of math have some overlap with quantum information, and other researchers may emphasize different areas of math.
Computer Science: Most theory topics are relevant although are less crucial at first: i.e. algorithms, cryptography, information theory, error-correcting codes, optimization, complexity, machine learning. If you haven't had any CS theory exposure, undergrad algorithms is a good place to start because it will show you CS-theory ways of thinking, including ideas like asymptotic analysis.
General quantum computing texts:Here is a very partial list of resources for learning more aboutquantum computing and quantum information.
If you want to get a flavor of what research is currently hot, thenone place to look is at the program of the last few QIP workshops. A less curated listof interesting papers can be found at scirate.com, where looking at themost scited papers in the last year should bring up some interestingwork.
Specialized sources:Some more specialized books/lecture notes are here. These are more modern and in-depththan the general resources above.
Alice and Bob meet Banach by Aubrun and Szarek. Incomplete textbook draft, but it looks like it'll be the definitive treatment of the probabilistic method in quantum information.
The Mathematics of Entanglement by Brandao, Christandl, Walter and myself. Idiosyncratic and incomplete lecture notes on some of our pet topics.
If you have more resources to suggest or any comments on this page,then please email me at [email protected].
I'm an enthusiast deeply entrenched in the realm of quantum computing, with a demonstrable understanding of its theoretical underpinnings and practical applications. My journey into this complex intersection of mathematics, physics, and computer science began with a comprehensive exploration of quantum mechanics, laying the foundation for my expertise.
In the realm of physics, I've delved into various facets of quantum information, including Atomic, Molecular, and Optical (AMO) physics, condensed matter physics, and high-energy physics. My grasp extends beyond the basics, encompassing advanced levels of these disciplines to provide a holistic understanding of quantum phenomena.
My mathematical proficiency is anchored in fundamental concepts like linear algebra and probability, prerequisites that I consider essential for anyone venturing into quantum computing. I've not only explored group and representation theory but also delved into more advanced areas such as random matrix theory and functional analysis. Recognizing the diverse mathematical overlaps with quantum information, I've cultivated expertise across various mathematical domains.
In the realm of computer science, I've covered a spectrum of theoretical topics, including algorithms, cryptography, information theory, error-correcting codes, optimization, and machine learning. While these are crucial, I understand that they might be less pivotal at the outset, with a foundational recommendation to start with undergraduate algorithms for a CS-theory mindset.
As for general quantum computing texts, I consider Nielsen and Chuang's "Quantum Computation and Quantum Information" as the canonical reference, supplemented by the more experiential "Classical and Quantum Computation" by Kitaev, Shen, and Vyalyi. Online resources, such as David Mermin's elementary lecture notes and John Preskill's more advanced perspectives, contribute to a well-rounded learning experience.
For those seeking specialized knowledge, I recommend delving into Andrew Childs' "Quantum Algorithms" lecture notes, Mark Wilde's "From Classical to Quantum Shannon Theory," and Gupta, Mandayam, and Sunder's "The Functional Analysis of Quantum Information Theory." These texts offer a deeper and more modern exploration of quantum computing, with a focus on specific applications and mathematical intricacies.
In conclusion, my passion for quantum computing extends beyond the basics, and I'm well-versed in the diverse array of resources available for enthusiasts and learners alike. If you seek additional resources or have comments on the information provided, feel free to reach out at [email protected].
Anyone can program a real quantum computer — it just takes a basic understanding of the Python programming language, familiarity with a few high school-level mathematical topics like linear algebra and complex numbers, and a computer connected to the internet. Don't know where to start?
These skills could be earned by acquiring advanced degrees or completing a relevant boot camp in disciplines like coding, cybersecurity, or data science. Earning a quantum computing certificate by completing a quantum computing online course may also communicate dedication to a hiring manager.
The first certificate is Quantum Computing Fundamentals. There are two courses, with 4 weeks per course, with about 4-6 hours a week of work. There's also a Quantum Computing Realities program, with two additional courses, 4 weeks per course, and 3-5 hours per week of work.
General background: Quantum computing (theory) is at the intersection of math, physics and computer science. (Experiment also can involve electrical engineering.) Eventually you will want to learn aspects of all of these fields, but when starting you can use any for an entry into the field.
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.
A good start to learn QM is by reading the Introduction to Quantum Mechanics by David J.Griffiths. To understand the contents of the book, you have to have at least a background in the following: Wave Mechanics.
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.
The quantum computing industry is rapidly expanding, creating a plethora of high-paying jobs as it revolutionizes various sectors. Here is a list of the top 10 highest paying jobs in the quantum industry based on the latest data: Quantum Computing Scientist: 120,000−120,000−180,000 annually.
Quantum computing is a multidisciplinary field comprising aspects of computer science, physics, and mathematics that utilizes quantum mechanics to solve complex problems faster than on classical computers. The field of quantum computing includes hardware research and application development.
The number of quantum computing use cases is growing. Using a combination of quantum computing technologies might propel companies looking to stay ahead of the curve in their respective industries. Quantum computing (QC) is gaining momentum in the market.
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.
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.
That depends on how you learn. If you learn well by simply reading, you might go for a textbook or websites. If you search “Quantum Physics Textbook” online, you'll have no trouble finding one on Amazon.com or a similar site. You can even find PDF files of entire physics textbooks online for free.
Yes, it is possible to buy quantum computers. Companies such as IBM, Rigetti Computing, and D-Wave Systems offer quantum computers for sale. Prices for these machines vary, depending on the type and capabilities of the computer.
Most quantum programming languages today still resemble assembly language, stringing together low-level operations, without mindfulness towards things like data types and functions, and what's typical in classical software engineering. “Quantum computers are error-prone and difficult to program.
Despite being used by researchers in a number of technical advances, quantum computing is still essentially a theoretical field. Additionally, a degree in a general subject is ineligible for this field. You need to have due knowledge in Data Science, Engineering, Maths and Physics.
Introduction: My name is Velia Krajcik, I am a handsome, clean, lucky, gleaming, magnificent, proud, glorious person who loves writing and wants to share my knowledge and understanding with you.
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