A What Are Advanced Dissertation Topics in Quantum Computing?

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!
 
Insights auto threads is broken atm, so I'm manually creating these for new Insight articles. Towards the end of the first lecture for the Qiskit Global Summer School 2025, Foundations of Quantum Mechanics, Olivia Lanes (Global Lead, Content and Education IBM) stated... Source: https://www.physicsforums.com/insights/quantum-entanglement-is-a-kinematic-fact-not-a-dynamical-effect/ by @RUTA
If we release an electron around a positively charged sphere, the initial state of electron is a linear combination of Hydrogen-like states. According to quantum mechanics, evolution of time would not change this initial state because the potential is time independent. However, classically we expect the electron to collide with the sphere. So, it seems that the quantum and classics predict different behaviours!
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