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Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 100 of 153 outbound references and 0 inbound Pith citation observations for arXiv:2607.13699.
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100 of 153 outbound references displayed
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Observation 87fea468-d1fd-481c-9c13-3b6f49dea21e · outbound
Machine learning development for quantum computing and neutrino physics Bishop.Pattern Recognition and Machine Learning
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Machine learning development for quantum computing and neutrino physics MIT Press, Cambridge, MA, 2016
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Machine learning development for quantum computing and neutrino physics O’Reilly Media, 3 edition, 2022
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Machine learning development for quantum computing and neutrino physics Unresolved cited work
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Observation 3bade9a6-7a5d-4984-bd09-2ddf7cdf1367 · outbound
Machine learning development for quantum computing and neutrino physics Nielsen and Isaac L
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Observation a60182aa-5cdc-4b93-b1b7-ebcee1868320 · outbound
Machine learning development for quantum computing and neutrino physics Quantum algorithms: an overview.npj Quantum Inf., 2:15023, 2016
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Observation 9b9fc15c-3915-4ee4-9293-250b322a8bdf · outbound
Machine learning development for quantum computing and neutrino physics Quantum computing in the NISQ era and beyond.Quantum, 2:79, 2018
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Machine learning development for quantum computing and neutrino physics Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando G
Reference 8
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Observation 375b6afb-38c2-4014-ba7b-24fbb8d80882 · outbound
Machine learning development for quantum computing and neutrino physics Quantum advantage in learning from experiments.Science, 376:1182–1186, 2022
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Observation a18234f8-195a-400f-aee3-2ceb2d24bfe1 · outbound
Machine learning development for quantum computing and neutrino physics Quantum machine learning in feature Hilbert spaces.Phys
Reference 12
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Observation 73221aff-e4b2-4084-b5d6-faeef43f63df · outbound
Machine learning development for quantum computing and neutrino physics Springer, Cham, 2 edition, 2021
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Machine learning development for quantum computing and neutrino physics Unresolved cited work
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Observation 34478c90-d242-45a0-b361-0405b5df18f8 · outbound
Machine learning development for quantum computing and neutrino physics Quantum capsule networks.Quantum Sci
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Observation 1d69400e-1bc4-40f2-9391-95106f00f086 · outbound
Machine learning development for quantum computing and neutrino physics Quantum algorithms for supervised and unsupervised machine learning
Reference 16
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Observation a4990b42-5361-48b2-8e5e-5bba82c0ad54 · outbound
Machine learning development for quantum computing and neutrino physics The quest for a quantum neural network.Quantum Inf
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Observation 198452bc-757b-472a-b6e6-0d176990c4f3 · outbound
Machine learning development for quantum computing and neutrino physics Córcoles, Kristan Temme, Aram W
Reference 18
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Observation a2966c67-ad1a-474a-b807-3fe03ca1d46d · outbound
Machine learning development for quantum computing and neutrino physics Estarellas, Nicola Lo Gullo, Thorsten Lux, Francesco Plastina, Arnau Riera, and Jacopo Set- tino
Reference 19
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Observation 387b773d-3099-4261-993e-9224f5bdc912 · outbound
Machine learning development for quantum computing and neutrino physics Entanglement and classical simulability in quantum extreme learning machines.Phys
Reference 20
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Observation f02fca26-fed8-4721-bc07-d3c07790e37b · outbound
Machine learning development for quantum computing and neutrino physics Estarellas, William J
Reference 21
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Machine learning development for quantum computing and neutrino physics Munro, and Kae Nemoto
Reference 22
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Observation d7ad8dd2-c2d4-49fb-8e63-a556cd8342f9 · outbound
Machine learning development for quantum computing and neutrino physics Munro, and Kae Nemoto
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Machine learning development for quantum computing and neutrino physics Munro, and Kae Nemoto
Reference 24
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Machine learning development for quantum computing and neutrino physics Experimental property reconstruction in a photonic quantum extreme learning machine.Phys
Reference 25
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Observation e294c1e9-7c6b-4f31-bf12-7e883c9b7fa5 · outbound
Machine learning development for quantum computing and neutrino physics Massimo Palma
Reference 26
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Observation f8026873-2c76-4cf9-8740-445e3eaa4dce · outbound
Machine learning development for quantum computing and neutrino physics Massimo Palma
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Observation 440db020-430c-4861-aaa8-63a8df034249 · outbound
Machine learning development for quantum computing and neutrino physics Khan, and Hakan E
Reference 28
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Observation ab97b60d-eab2-4ef5-9ec9-cc4c9e87c102 · outbound
Machine learning development for quantum computing and neutrino physics Soriano, and Roberta Zambrini
Reference 29
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Observation d1451c29-f4e9-4f4a-9adf-f00945559e8c · outbound
Machine learning development for quantum computing and neutrino physics Carlo, and Florentino Borondo
Reference 30
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Machine learning development for quantum computing and neutrino physics Sori- ano, and Roberta Zambrini
Reference 31
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Machine learning development for quantum computing and neutrino physics Harnessing disordered-ensemble quantum dynamics for machine learning.Phys
Reference 32
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Observation 1554208e-5baa-4afb-b5c1-9875e7ceb9bc · outbound
Machine learning development for quantum computing and neutrino physics Nurdin, and Naoki Yamamoto
Reference 33
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Observation 412facec-0896-4734-9c93-93c385a15f96 · outbound
Machine learning development for quantum computing and neutrino physics Extreme learning machine: theory and applications.Neurocomputing, 70:489–501, 2006
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Observation 099f4636-b2c1-42f9-bf78-540c53663cf6 · outbound
Machine learning development for quantum computing and neutrino physics Extreme learning ma- chines: a survey.Int
Reference 35
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Observation c4ab7f99-0c07-409c-8bef-e016ef58a8b8 · outbound
Machine learning development for quantum computing and neutrino physics A review on extreme learning machine.Multimed
Reference 36
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Observation e1e22637-9c80-4fee-9206-fd1056a782bf · outbound
Machine learning development for quantum computing and neutrino physics Extreme learning machine versus classical feedforward network.Neural Comput
Reference 37
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Observation 5b518a04-cc5b-4aab-8794-661e32468668 · outbound
Machine learning development for quantum computing and neutrino physics Extreme learning machine: algorithm, theory and applications.Artif
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Observation 07df04b1-3b93-4e32-a88b-40769938493b · outbound
Machine learning development for quantum computing and neutrino physics Trends in extreme learning machines: a review.Neural Networks, 61:32–48, 2015
Reference 39
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Observation 5ce4656a-565f-4cf8-afea-2f0b96f3550c · outbound
Machine learning development for quantum computing and neutrino physics Avariational eigenvalue solver on a photonic quantum processor.Nat
Reference 40
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Observation fdf0833f-09f1-4bac-b074-611868a989f6 · outbound
Machine learning development for quantum computing and neutrino physics A Quantum Approximate Optimization Algorithm
Reference 41
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Observation 18ccd6b9-3b77-46c1-b1d2-530454a3c691 · outbound
Machine learning development for quantum computing and neutrino physics Benjamin, Sug- uru Endo, Keisuke Fujii, Jarrod R
Reference 42
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Machine learning development for quantum computing and neutrino physics Unresolved cited work
Reference 43
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Observation 1d767123-a315-4c0a-a637-a5e15360b4ca · outbound
Machine learning development for quantum computing and neutrino physics Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Reference 44
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Observation 360d56b6-a8e8-4059-8568-b0b2fd85e018 · outbound
Machine learning development for quantum computing and neutrino physics Learning multiple layers of features from tiny images
Reference 45
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Machine learning development for quantum computing and neutrino physics Hyper-Kamiokande Design Report
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Machine learning development for quantum computing and neutrino physics Abe, et al
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Machine learning development for quantum computing and neutrino physics Abe, et al
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Observation d573f54f-0c65-4492-9f8d-fba6a292d009 · outbound
Machine learning development for quantum computing and neutrino physics Abe, et al
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Machine learning development for quantum computing and neutrino physics Deep residual learning for image recognition
Reference 50
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Machine learning development for quantum computing and neutrino physics WatChMaL: Water Cherenkov machine learning
Reference 51
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Machine learning development for quantum computing and neutrino physics Unresolved cited work
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Machine learning development for quantum computing and neutrino physics Wiley, New York, 1949
Reference 53
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Machine learning development for quantum computing and neutrino physics McCulloch and Walter Pitts
Reference 54
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Observation 464e9f0a-abfa-494d-a4d6-ff1ba599decc · outbound
Machine learning development for quantum computing and neutrino physics Rumelhart, Geoffrey E
Reference 55
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Observation 9b20df00-19bb-499c-8739-001f9fe8c88a · outbound
Machine learning development for quantum computing and neutrino physics Support-vector networks.Mach
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Observation bd37b118-8fb1-491c-b39f-6ff3930c5684 · outbound
Machine learning development for quantum computing and neutrino physics Deep learning.Nature, 521:436–444, 2015
Reference 57
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Machine learning development for quantum computing and neutrino physics Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda BIBLIOGRAPHY 165 Panneershelvam, Marc Lanctot, et al
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Machine learning development for quantum computing and neutrino physics Unresolved cited work
Reference 59
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Observation e61d05f3-b6b2-47ee-9518-c3235edf44b3 · outbound
Machine learning development for quantum computing and neutrino physics Approximation by superpositions of a sigmoidal function
Reference 60
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Observation 322debac-03a3-43bb-ac44-464ad91777b8 · outbound
Machine learning development for quantum computing and neutrino physics Multilayer feed- forward networks are universal approximators.Neural Networks, 2:359–366, 1989
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Machine learning development for quantum computing and neutrino physics Gradient- based learning applied to document recognition.Proc
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Machine learning development for quantum computing and neutrino physics Cam- bridge University Press, Cambridge, 3 edition, 2020
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Machine learning development for quantum computing and neutrino physics echo state
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Machine learning development for quantum computing and neutrino physics Real-time com- puting without stable states: a new framework for neural computation based on perturbations.Neural Comput., 14:2531–2560, 2002
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Machine learning development for quantum computing and neutrino physics Soriano, and Roberta Zambrini
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Machine learning development for quantum computing and neutrino physics On fundamental aspects of quantum extreme learning machines.Quantum Mach
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Machine learning development for quantum computing and neutrino physics Unresolved cited work
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Machine learning development for quantum computing and neutrino physics Fiderer, Hendrik Poulsen Nautrup, Jonas M
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Machine learning development for quantum computing and neutrino physics Unresolved cited work
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Machine learning development for quantum computing and neutrino physics Unresolved cited work
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Machine learning development for quantum computing and neutrino physics Soriano, and Roberta Zambrini
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Machine learning development for quantum computing and neutrino physics La- torre
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Machine learning development for quantum computing and neutrino physics An insight into extreme learning machines: random neu- rons, random features and kernels.Cogn
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Machine learning development for quantum computing and neutrino physics Extreme learning machine: a new learning scheme of feedforward neural networks
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Machine learning development for quantum computing and neutrino physics Solanki and Anh Pham
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Machine learning development for quantum computing and neutrino physics Entanglement estimation of Werner states with a quantum extreme learning machine.Phys
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Machine learning development for quantum computing and neutrino physics Unresolved cited work
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Machine learning development for quantum computing and neutrino physics Quantum-classical hybrid information processing via a single quantum system.Phys
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Machine learning development for quantum computing and neutrino physics Benchmarking the role of particle statistics in quantum reservoir com- puting.Adv
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Machine learning development for quantum computing and neutrino physics Unresolved cited work
Reference 86
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Machine learning development for quantum computing and neutrino physics Boosting computational power through spatial multiplexing in quantum reservoir computing.Phys
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Machine learning development for quantum computing and neutrino physics Soriano, and Roberta Zambrini
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Machine learning development for quantum computing and neutrino physics Quantum reservoir computing implementation on coherently coupled quantum oscillators.npj Quantum Inf., 9:64, 2023
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Machine learning development for quantum computing and neutrino physics Exploring quantumness in quantum reservoir computing.Phys
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Machine learning development for quantum computing and neutrino physics Soriano, Gian Luca Giorgi, and Roberta Zambrini
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Machine learning development for quantum computing and neutrino physics Quantum reservoir computing in atomic lattices.Chaos Solitons Fractals, 195:116289, 2025
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Machine learning development for quantum computing and neutrino physics High-Accuracy Temporal Pre- diction via Experimental Quantum Reservoir Computing in Correlated Spins
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Machine learning development for quantum computing and neutrino physics Ivaki, Achilleas Lazarides, and Tapio Ala-Nissila
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Machine learning development for quantum computing and neutrino physics Memory-augmented hybrid quantum reservoir computing.Phys
Reference 95
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Machine learning development for quantum computing and neutrino physics Robust data encodings for quantum classifiers
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Machine learning development for quantum computing and neutrino physics Green, and Simone Severini
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