A light-weight quantum self-attention model for classical data classification
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05337-w.pdf
Reference34 articles.
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2. Bharti K, Cervera-Lierta A, Kyaw TH, Haug T, Alperin-Lea S, Anand A, Degroote M, Heimonen H, Kottmann JS, Menke T et al (2022) Noisy intermediate-scale quantum algorithms. Rev Mod Phys 94(1):015004. https://doi.org/10.1103/RevModPhys.94.015004
3. Shrapnel S, Costa F, Milburn G (2018) Quantum markovianity as a supervised learning task. Int J Quantum Inf 16(08):1840010. https://doi.org/10.1142/S0219749918400105
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5. Konar D, Bhattacharyya S, Dey S, Panigrahi BK (2022) Optimized activation for quantum-inspired self-supervised neural network based fully automated brain lesion segmentation. Appl Intell 52(13):15643–15672. https://doi.org/10.1007/s10489-021-03108-5
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