What Are Advanced Dissertation Topics in Quantum Computing?

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Discussion Overview

The discussion revolves around potential dissertation topics in quantum computing for a master's student in theoretical physics. Participants explore various areas within quantum computation, including theoretical and experimental aspects, algorithms, and error correction methods, without reaching a consensus on a specific topic.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant seeks suggestions for dissertation topics related to quantum computation, expressing interest in both theoretical and physical aspects.
  • Another participant asks whether the focus should be on theoretical or experimental aspects and whether the interest lies more in physics or computer science.
  • A participant expresses a preference for theoretical mathematics while wanting to connect it to physical concepts, mentioning a previous project involving electron spin and Hamiltonians.
  • Several potential dissertation topics are proposed, including various quantum algorithms (e.g., hidden subgroup algorithms, Grover's search algorithm), the complexity of simulating Hamiltonians, non-universal quantum computation, classical simulation of quantum circuits, and topics related to decoherence and quantum error correction.
  • Specific resources and literature are suggested for further exploration of these topics, including academic papers and lecture notes from notable figures in the field.

Areas of Agreement / Disagreement

Participants do not reach a consensus on a specific dissertation topic, and multiple competing views on potential areas of focus remain. The discussion includes a variety of suggestions and interests without resolving which topic is most suitable.

Contextual Notes

Participants express varying degrees of interest in different aspects of quantum computing, and there are unresolved preferences regarding the balance between theoretical and experimental approaches. The discussion reflects a range of potential topics without definitive conclusions.

FraserAC
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Hi! I'm going on to the masters year of a theoretical physics course and I need some inspiration for my dissertation. Last year I did a one semester long project on quantum computation. (More specifically I discussed the general idea of a qubit, a simple method of realising a qubit using spin and a simple example of a Quantum Fourier Transform algorithm). This year I'm doing a year long project that is supposed to continue on this theme and I'd love some suggestions on ideas I could discuss/study and some sources that would help me do so.

Last year I mainly used Nielson and Chuang's Quantum Computing and Quantum Information textbook as a source, ideally I'd like multiple sources this year. My target this year is about twenty thousand words, so I'd need a topic (or multiple connected topics) that I could go into sufficient detail on.

Thanks very much :)
 
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Do you prefer theoretical or experimental aspect of quantum computation? Are you more interested in the physics or the computer science side?
 
Well, I enjoy the abstract theoretical nature of the maths, but also like attempting to connect it to something physical (I.e. in the project last semester I discussed spin of electrons and how to manipulate it physically using a set up similar to the Stern-Gerlach apparatus, as well as calculating the Hamiltonian needed for chosen change of state around the bloch sphere). However, I won't be performing any physical experiments.

I'd say I'm more interested in the Physics, but I'd like to include at least a little computer science. My supervisor suggested attempting to program a simple quantum algorithm into the IBM quantum experience thing. I have no idea how to do that yet though, so that's a low priority.

I hope that's not too vague. If it is I'd be happy to be more specific.
 
From the top of my head:
- More quantum algorithms: hidden subgroup algorithms (also using Fourier transforms) Grover's search algorithm, quantum walk, linear equation solver etc.
http://www.nature.com/articles/npjqi201523
- Complexity of simulating Hamiltonians, classical simulation using matrix product states, area laws of entanglement
https://arxiv.org/abs/0808.3773
https://arxiv.org/abs/1106.5875
https://arxiv.org/abs/1603.03039
- Non-universal quantum computation that is nevertheless provable (assuming P ≠ NP and its variants) to be hard for classical computers to simulate: linear optics with multi-photon input
https://arxiv.org/abs/1406.6767
- Quantum computation that is easy to simulated classically: stabilizer circuits, matchgate circuits
http://arxiv.org/abs/1512.07892
http://arxiv.org/abs/1602.03539
- Decoherence, quantum error corrections and fault tolerance
Daniel Gottesman's thesis and video lectures are good starting points
https://arxiv.org/abs/1302.3428
- John Preskill's lecture note is also a good general resource
http://www.theory.caltech.edu/people/preskill/ph229/

I hope this helps. I will be interested to hear which topic you settle on. :)
 
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Thanks very much! The quantum algorithms one sounds good and so does the Decoherence and quantum error corrections. I'll have a look over the next few days and make a final decision, then post it back on here. Very helpful though, thank you!
 

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