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Quantum Computing for Tomographic Image Reconstruction #27
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@GemmaDawson could you help me set @Tim-Li as a mentor in this project? Many thanks! |
@GemmaDawson |
Hi, I am Interested in becoming a mentee on this project, I am just a beginner and would love to learn more about research in the field of quantum computing. |
Hi, I am interested on working on this project as a mentee. I am currently studying a quantum technology major with a neuroscience minor so this project lies in my area of interest for research. |
Welcome to join our research. Please confirm that it's okay for you that I assign you as a mentee in our project. |
Welcome to join our research. Please confirm that it's okay for you that I assign you as a mentee in our project. |
@dimple12M Could you comment on my message here to join this project? |
@SiddharthaMorales Could you comment on my message here to join this project? |
Thank you, I will gladly join this project as a mentee. What's the plan for the first meeting? |
I would love to join as a mentee. |
@GemmaDawson |
I'm interested to join this project . |
@GemmaDawson Hello Gemma. Could you help me add them to the list for this project? Many thanks for the help. |
@GemmaDawson The material for our checkpoint 1: |
Checkpoint 2: ![]() |
Final Showcase Slides |
Description
We aim to improve the tomographic image reconstruction technique to produce high-quality images using fewer measurements and a low signal-to-noise ratio. Our goal is to reduce patient discomfort and radiation exposure in clinical imaging. To achieve this objective, we propose using a quantum computer and associated hybrid methods (or any better proposal) for solving the ill-posed inverse problem of tomographic reconstruction.
We are extensively testing that the quantum algorithm can be a better solution than the classical methodology. There is a result demonstrating that their method produces accurate reconstructed binary and integer-valued images of up to 32×32 pixels, competing with traditional reconstruction algorithms while being more robust to noise and producing accurate results from a few projections. This work will help us prepare the quantum algorithm for later large-scale implementation.
More detail about previous research:
https://arxiv.org/pdf/2212.01312.pdf
(Research work done by adiabatic quantum computer)
Deliverables
Research Paper
Mentors details
Mentor 1
Linkedin: https://www.linkedin.com/in/louis-chen-801214109/
Mentor 2
Number of mentees
3
Type of mentees and Collaborator
Collaborator 1: @Vaishakgkumar
Collaborator 2: Duong Do
Collaborator 3: Thembelihle Dlamini
Collaborator 4: Reem Abdel-Salam
Mentee 1: @MiikaVuorio
Mentee 2: @SiddharthaMorales
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