Is quantum information/computers more similar to computer science or physics?

  • Thread starter Substance D
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In summary, the conversation is about someone asking if anyone is involved in or doing their graduate work in a certain area, and if it is similar to computer science. The person is a Physics major and is interested in the field but dislikes computer science. The response mentions the thesis advisor being an expert in matrices and applied algebra, with research focused on factorisation. The quantum information class audited did not involve coding or algorithms, and was purely mathematical.
  • #1
Substance D
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Hey,

Is anyone here involved in this, or doing their grad work in this area? I was wondering how similar it is to actual computer science. I'm currently a Physics major and was interested in this field of study, but I really dislike computer science (not writing code, just the theory of it all).

Thanks

D
 
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  • #2
My thesis advisor is a researcher in quantum information. I think he is an expert in matrices and applid algebra. His research mainly focus on factorisation of matrices. I also audited his quantum information class, and it was nothing about matrices manipulation.
 
  • #3
so it doesn't involve any coding or algorithims or anything like that?
 
  • #4
that was like a survey class. Moreover, it was purely mathematical, with no computer coding at all.
 

FAQ: Is quantum information/computers more similar to computer science or physics?

1. What is quantum information/computing?

Quantum information/computing is a field of study that combines principles from quantum mechanics and computer science to process and manipulate information at the quantum level. It uses qubits, which are quantum bits, instead of traditional bits used in classical computing.

2. How is quantum information different from classical information?

Classical information is represented in bits, which can only hold a value of either 0 or 1. Quantum information, on the other hand, can exist in multiple states simultaneously due to the principles of superposition and entanglement in quantum mechanics.

3. What are the potential applications of quantum information/computing?

Quantum information/computing has the potential to significantly improve the speed and efficiency of various computing tasks, such as cryptography, optimization, and simulation. It also has potential applications in fields such as drug discovery, materials science, and artificial intelligence.

4. What are the challenges in developing quantum computers?

One of the main challenges in developing quantum computers is maintaining the fragile quantum states of qubits, which can easily be disrupted by external noise and interference. Another challenge is the difficulty in scaling up quantum systems to handle more complex tasks.

5. Is quantum computing a threat to traditional computing?

No, quantum computing is not a threat to traditional computing. While quantum computers have the potential to solve certain problems much faster than classical computers, they are not suited for all types of computing tasks. Traditional computers will still be necessary for many applications and will continue to coexist with quantum computers.

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