Quantum computation vs classic computation

In summary, the speaker is planning to write an undergraduate thesis on quantum computation but has a background in mathematics and computer engineering rather than physics. They are considering starting by learning about quantum mechanics or going straight to quantum computation theory. A suggestion is made to start with the book "Quantum Computation and Quantum Information" by Nielsen and Chuang, which assumes no prior knowledge of quantum mechanics. It is noted that the book may be slightly outdated in terms of experimental developments in the field. The speaker also receives advice to focus on either the hardware or software aspects of quantum computation, as well as recommendations to use YouTube and Wikipedia for a basic overview.
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cyborgfuture
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Next semester I am going to write a undergrad thesis about quantum computation, but my background is not from physics but from mathematics and computer engineering. In this talk http://www.youtube.com/watch?v=Rvn_3cCrl9c Andris Ambainis talks about how he got into the field of quantum computing and suggest that one can learn quantum mechanics by first learning about quantum computers. Is this a good idea?

My problem is this. I want to write about quantum computation (from a abstract computational view), but I don't know any quantum physics. Shall I start by learning the basics of quantum physics or go straight to quantum computation theory?
 
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  • #2
I would suggest Quantum Computation and Quantum Information by Nielsen and Chuang. It assumes no prior knowledge in Quantum Mechanics. If you have some experience in Linear Algebra, then it would be a bonus.Welcome to Physics Forums.
 
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The book suggested above is very good. It has a lot of material for the beginner and they describe the basics very thouroughly. Just be aware that the chapter on the physical realization of quantum computers is somewhat outdated by now as the book is more than 10 years old and the experimental field has moved forward a lot since then. For the rest though, the book is a very good starting place.
 
  • #4
I would ask myself, hardware or software? If you are only interested in the software side, focus on the quantum logic (I'd ignorantly say it's like fuzzy logic). I don't think actual quantum mechanics is important. However if you do have an interest in the hardware side, some basic quantum mechanics on the experimental side (which is easier) would do. I am not a quantum computer expert. I am just a quantum physicist. Theoretical quantum physics can be tricky with the bra ket notation and all the other conventions. So just avoid that. I would just use youtube and Wikipedia for a basic overview. It's silly, but that helped me so much. Good luck and please post a link when you are done writing!
 
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I can understand your dilemma about how to approach your undergrad thesis on quantum computation. It is important to note that quantum computation and classical computation are fundamentally different processes, with the former utilizing quantum mechanical principles to perform calculations.

While a background in physics can certainly be helpful in understanding the underlying principles of quantum computation, it is not a prerequisite. As Andris Ambainis suggests in his talk, one can learn about quantum mechanics through the lens of quantum computing. This approach may be suitable for someone with a strong background in mathematics and computer engineering, as you have mentioned.

However, it is important to have a basic understanding of quantum mechanics in order to fully grasp the concepts of quantum computation. I would recommend starting with the basics of quantum mechanics, such as quantum states, superposition, and measurement, before delving into quantum computation theory. This will provide you with a solid foundation to understand the principles behind quantum computation and how it differs from classical computation.

Additionally, it may also be helpful to seek guidance from experts in the field of quantum computation, who can provide you with resources and guidance on how to approach your thesis. Ultimately, it is important to have a strong understanding of both quantum mechanics and quantum computation in order to effectively write about the topic.

In summary, while it is possible to learn about quantum computation without a background in physics, it is important to have a basic understanding of quantum mechanics before delving into the theory of quantum computation. I wish you all the best in your thesis and hope that you will make valuable contributions to the field of quantum computation.
 

FAQ: Quantum computation vs classic computation

What is quantum computation and how does it differ from classic computation?

Quantum computation is a form of computing that utilizes the principles of quantum mechanics to process and manipulate information. It differs from classic computation in that it relies on quantum bits (qubits) instead of classical bits, allowing for the representation of multiple states simultaneously and potentially increasing computational speed and power.

What are the potential advantages of quantum computation over classic computation?

Some potential advantages of quantum computation include faster processing speed, greater computational power, and the ability to solve certain problems that are intractable for classical computers. Additionally, quantum computers may also use less energy and have a smaller physical footprint compared to traditional computers.

What are the challenges and limitations of quantum computation?

One of the main challenges of quantum computation is the delicate and complex nature of quantum systems, which can be easily disrupted by external interference and noise. This leads to errors in calculations, making it difficult to maintain the integrity of data. Additionally, the technology and infrastructure required for quantum computation are still in their early stages of development.

How is quantum computation currently being used and what are its potential applications?

Quantum computation is currently being used in a limited capacity for specific applications such as cryptography and optimization problems. However, its potential applications are vast and include fields such as machine learning, drug discovery, and financial modeling. It also has the potential to greatly impact industries such as healthcare, finance, and transportation.

How will quantum computation impact the future of computing?

Quantum computation has the potential to revolutionize computing and usher in a new era of technology. It could enable us to solve complex problems that are currently impossible to solve with classical computers, leading to advancements in various fields such as science, medicine, and finance. However, it is still in its early stages of development and will require significant advancements before it becomes a mainstream technology.

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