Quantum Computing and Math prequisities

In summary, the speaker is a Physics undergraduate who has taken courses in various subjects including Real and Complex Analysis, Linear Algebra, ODEs and PDEs, Classical Mechanics, Electromagnetism, and Special Relativity. They are currently taking QM courses and are interested in exploring the field of Quantum Computing in the future. They are considering studying Mathematics subjects that would be useful for quantum computing, such as functional analysis, information theory, advanced statistics, and computer science courses on advanced algorithms. They also mention that they had planned to take a group theory course, but it does not fit into their program. They are also open to self-studying topics such as topology. Additionally, the speaker is interested in studying subjects that would be
  • #1
Stealth95
19
4
Hello,
I am a Physics undergraduate, currently beginning my third (out of four) year of studies. I have already taken courses about Real and Complex Analysis, Linear Algebra, ODEs and PDEs (for Maths), Classical Mechanics (Lagrangian and Hamiltonian formalism), Electromagnetism, Special Relativity and some other that I think that are irrelevant for my question. I'm having QM courses in the current and the next semester.

I open the thread, because I managed to finish one of the courses I normally have in this semester from a previous one, so I have time to study something else instead of that one. Currently, I am thinking the Quantum Computing field about the future. Although, I already know some concepts in QM and Dirac's notation (I can solve excercises), I prefer to finish the QM courses before I deal with quantum comptutation. However, I would like to ask if there is any Mathematics subjects I can study, which would be useful for quantum computing.

I also mention that I planned to take a group theory course from the next year, but I cannot do this because it doesn't fit my program, so I have to wait till next year. The only extra course I can now take in my university is Differential Geometry, but from what I read it is not so useful for QC and I do not plan to study General Relativity, at least for now. Another option is to self-study topology, which seems more useful (however self-studying is much harder than taking the course...).

Finally, I would appreciate it if the subject was also useful for other other parts of Physics (like QFT), since I am not 100% that I will work on QC (when I enrolled at Physics Dept. I planned to work on Theoretical Physics, since I am far better on this, but now I'd like it more if I worked on something more applied - that's how I thought of QC).
 
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  • #2
I came up with a few suggestions.
  • functional analysis
  • information theory
  • advanced statistics
  • Numerical calculation course (under "computational science" /engineering/applied math -- if there is one in the physics dept it might assume QM so wait for that one)
  • Any computer science course dealing with the kind of advanced algorithms (to understand the classical algorithms that QC is trying to compete with) i.e. don't take the course that teaches about bubble sort, but rather traveling salesman type problems, factoring, etc.
 
  • #3
Linear Algebra, if you are not familiar with it, then don't touch it until you dabble into topics of Functional analysis and information theory (in which LA is a major backbone of such projects.
 

Related to Quantum Computing and Math prequisities

1. What is quantum computing?

Quantum computing is a type of computing technology that uses the principles of quantum mechanics to store and process information. It makes use of quantum bits, or qubits, which can represent multiple states simultaneously, allowing for faster and more efficient calculations.

2. What are the prerequisites for learning quantum computing?

A strong understanding of linear algebra, calculus, and probability theory are essential for learning quantum computing. Familiarity with quantum mechanics and computer science concepts such as algorithms and data structures is also helpful.

3. Can anyone learn quantum computing?

Yes, anyone with a solid foundation in math and an interest in quantum mechanics can learn quantum computing. However, it can be a complex and challenging topic, so dedication and perseverance are necessary for success.

4. How is quantum computing different from classical computing?

Unlike classical computers, which use binary bits that can only represent two states at a time, quantum computers use qubits that can represent multiple states simultaneously. This allows quantum computers to perform certain calculations much faster than classical computers.

5. What are the potential applications of quantum computing?

Quantum computing has the potential to revolutionize many industries, including finance, healthcare, and cybersecurity. It can be used for complex simulations, optimization problems, and data analysis, among other things. However, the technology is still in its early stages and more research and development is needed to fully realize its potential.

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