Quantum Algorithms Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Quantum Algorithms ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Quantum Algorithms Projects
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Efficient Quantum Image Classification Using Single Qubit Encoding
This project explores using quantum computing to classify images more efficiently. It develops a new method that uses only a single quantum bit to mimic traditional deep learning techniques. The approach reduces complexity and requires fewer resources than existing methods. Tests on common image datasets show promising accuracy, and the method could be improved further in the future. -
A New Quantum Circuits of Quantum Convolutional Neural Network for X-Ray Images Classification
This project compares traditional image recognition methods with a new approach using quantum computing. It builds a Quantum Convolutional Neural Network to process images faster and more accurately than normal CNNs. The model was tested on image datasets like MNIST and COVIDX-CXR3. The results show that the quantum model improves both speed and accuracy in image classification.
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