Authors: Akihiro Haga

Published on: June 03, 2023

Impact Score: 8.3

Arxiv code: Arxiv:2306.02214

Summary

• What is new: This study introduces the feasibility of using quantum annealing-based computed tomography (QACT) for CT image reconstruction with a small number of qubits, showcasing a novel variational approach for accurate image representation.
• Why this is important: The limited availability of qubits in quantum computing has been a barrier to progress in CT image reconstruction.
• What the research proposes: A quantum annealing-based CT reconstruction algorithm (QACT) that utilizes a variational method to accurately approximate real numbers with a small number of qubits.
• Results: QACT demonstrated superior image quality to conventional algorithms under conditions of abundant projections and low noise, with only 2 qubits required per pixel.

Technical Details

Technological frameworks used: Quantum annealing

Models used: QUBO (Quadratic Unconstrained Binary Optimization)

Data used: Projection data across various image sizes (4×4 to 24×24 pixels)

Potential Impact

Healthcare imaging and diagnostics, Quantum computing hardware and software developers

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