Organ classification Using Quantum Convolution Network

Gohel, Prashant; Chakraborty, Amit; JV, Kameshwar Rao

doi:10.1109/qce53715.2022.00134

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Quantum Reinforcement Learning and Deep Learning1

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2023

2024

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Cited by 3 publications

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“…There have also been hybrid models with quanvolutional layers in the network where we undertake local transformation of the data with several random quantum circuits in the set bounded-error quantum polynomial time (150). Recently, quanvolutional methods were used for physiological application such as for body part recognition using Hybrid Quantum Convolutional Neural Networks, although in this case the classical counterpart was found to have a greater validation accuracy by 0.5% (151).…”

Section: Quantum Reinforcement Learning and Deep Learningmentioning

confidence: 99%

Linear, Bidirectional and Circular Controlled Quantum Teleportation and Quantum State Sharing using a Seven Qubit Genuinely Entangled State

Majumdar¹

2020

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Multipartite entanglement is a resource for application in disparate protocols, of computing, communication and cryptography. In this paper, generation, characterisation and application of a genuine genuinely entangled seven-qubit resource state is studied. Theoretical schemes for quantum teleportation of arbitrary one, two and three qubits states, bidirectional teleportation of arbitrary two qubit states and probabilistic circular controlled teleportation as well as three schemes for undertaking tripartite quantum state sharing are presented.

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Section: Quantum Reinforcement Learning and Deep Learningmentioning

confidence: 99%