| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accuracy and minor embedding in subqubo decomposition with fully connected large problems: a case study about the number partitioning problem
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Asproni, Luca
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1 |
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artikel
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| 2 |
A continuous variable Born machine
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Čepaitė, Ieva
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1 |
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artikel
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| 3 |
A fuzzy approach using asymmetrical triangular distribution in a two-person zero-sum game for a multi-criteria decision-making problem
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Abraham, Sarin
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1 |
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artikel
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| 4 |
A kernel-based quantum random forest for improved classification
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Srikumar, Maiyuren
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1 |
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artikel
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| 5 |
Analysis and synthesis of feature map for kernel-based quantum classifier
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Suzuki, Yudai
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1 |
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artikel
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| 6 |
A projective simulation scheme for partially observable multi-agent systems
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Kheiri, Rasoul
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1 |
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artikel
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| 7 |
A quantum procedure for estimating information gain in Boolean classification task
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Koren, Michal
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1 |
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artikel
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| 8 |
A quantum search decoder for natural language processing
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Bausch, Johannes
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1 |
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artikel
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| 9 |
A reinforcement learning approach for quantum state engineering
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Mackeprang, Jelena
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1 |
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artikel
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| 10 |
Behavior prediction of fiber optic temperature sensor based on hybrid classical quantum regression model
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Kanimozhi, T.
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1 |
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artikel
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| 11 |
Binary classification with classical instances and quantum labels
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Caro, Matthias C.
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1 |
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artikel
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| 12 |
Bipolar fuzzy attribute implications
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Singh, Prem Kumar
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1 |
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artikel
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| 13 |
Boosting the performance of quantum annealers using machine learning
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Brence, Jure
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1 |
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artikel
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| 14 |
Classification of data with a qudit, a geometric approach
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Mandilara, Aikaterini
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1 |
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artikel
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| 15 |
Continuous-variable neural network quantum states and the quantum rotor model
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Stokes, James
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1 |
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artikel
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| 16 |
Continuous-variable optimization with neural network quantum states
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Zhang, Yabin
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1 |
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artikel
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| 17 |
Decoding surface code with a distributed neural network–based decoder
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Varsamopoulos, Savvas
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1 |
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artikel
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| 18 |
Decohering tensor network quantum machine learning models
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Liao, Haoran
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1 |
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artikel
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| 19 |
Deep Q-learning with hybrid quantum neural network on solving maze problems
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Chen, Hao-Yuan
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1 |
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artikel
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| 20 |
Dimension-adaptive machine learning-based quantum state reconstruction
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Lohani, Sanjaya
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1 |
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artikel
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| 21 |
Distributed quantum neural networks via partitioned features encoding
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Kawase, Yoshiaki
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1 |
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artikel
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| 22 |
Equivariant quantum graph circuits: constructions for universal approximation over graphs
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Mernyei, Péter
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1 |
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artikel
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| 23 |
Error-mitigated data-driven circuit learning on noisy quantum hardware
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Hamilton, Kathleen E.
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1 |
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artikel
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| 24 |
Evaluation of parameterized quantum circuits: on the relation between classification accuracy, expressibility, and entangling capability
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Hubregtsen, Thomas
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1 |
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artikel
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| 25 |
Exploring quantum perceptron and quantum neural network structures with a teacher-student scheme
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Gratsea, Aikaterini
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1 |
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artikel
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| 26 |
Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators
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Mori, Yuichiro
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1 |
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artikel
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| 27 |
Facial expression recognition on a quantum computer
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Mengoni, Riccardo
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1 |
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artikel
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| 28 |
Feature selection on quantum computers
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Mücke, Sascha
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1 |
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artikel
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| 29 |
Financial fraud detection using quantum graph neural networks
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Innan, Nouhaila
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1 |
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artikel
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| 30 |
From conceptual spaces to quantum concepts: formalising and learning structured conceptual models
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Tull, Sean
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1 |
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artikel
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| 31 |
Generative model for learning quantum ensemble with optimal transport loss
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Tezuka, Hiroyuki
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1 |
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artikel
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| 32 |
Grammar-aware sentence classification on quantum computers
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Meichanetzidis, Konstantinos
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1 |
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artikel
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| 33 |
Grover’s search with learning oracle for constrained binary optimization problems
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Ohno, Hiroshi
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1 |
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artikel
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| 34 |
Hybrid classical-quantum transfer learning for text classification
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Ardeshir-Larijani, Ebrahim
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1 |
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artikel
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| 35 |
If AI machine cannot think, can QI machine think?—from negative numbers to quantum intelligence for mind-light-matter unity
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Zhang, Wen-Ran
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1 |
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artikel
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| 36 |
Implementation of a Hamming distance–like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne
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Kathuria, Kunal
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1 |
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artikel
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| 37 |
Investigating the Chinese postman problem on a quantum annealer
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Siloi, Ilaria
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1 |
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artikel
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| 38 |
Layerwise learning for quantum neural networks
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Skolik, Andrea
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1 |
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artikel
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| 39 |
Learning adiabatic quantum algorithms over optimization problems
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Pastorello, Davide
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1 |
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artikel
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| 40 |
Learning the noise fingerprint of quantum devices
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Martina, Stefano
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1 |
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artikel
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| 41 |
MAQML: a Meta-approach to Quantum Machine Learning with Accentuated Sample Variations for Unobtrusive Mental Health Monitoring
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Padha, Anupama
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1 |
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artikel
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| 42 |
Meta-variational quantum Monte Carlo
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Zhao, Tianchen
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1 |
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artikel
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| 43 |
Methods for accelerating geospatial data processing using quantum computers
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Henderson, Max
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1 |
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artikel
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| 44 |
Mode connectivity in the loss landscape of parameterized quantum circuits
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Hamilton, Kathleen E.
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1 |
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artikel
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| 45 |
Multi-level quantum inspired metaheuristics for automatic clustering of hyperspectral images
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Dutta, Tulika
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1 |
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artikel
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| 46 |
Non-IID quantum federated learning with one-shot communication complexity
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Zhao, Haimeng
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1 |
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artikel
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| 47 |
On neural quantum support vector machines
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Simon, Lars
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1 |
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artikel
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| 48 |
On quantum ensembles of quantum classifiers
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Abbas, Amira
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1 |
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artikel
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| 49 |
Optimizing quantum heuristics with meta-learning
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Wilson, Max
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1 |
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artikel
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| 50 |
Optimizing the optimizer: decomposition techniques for quantum annealing
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Bass, Gideon
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1 |
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artikel
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| 51 |
Parallel hybrid quantum-classical machine learning for kernelized time-series classification
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Baker, Jack S.
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1 |
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artikel
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| 52 |
Policy gradients using variational quantum circuits
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Sequeira, André
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1 |
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artikel
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| 53 |
QDNN: deep neural networks with quantum layers
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Zhao, Chen
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1 |
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artikel
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| 54 |
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning
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Di Marcantonio, Francesco
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1 |
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artikel
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| 55 |
Quantum-assisted associative adversarial network: applying quantum annealing in deep learning
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Wilson, Max
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1 |
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artikel
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| 56 |
Quantum bandits
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Casalé, Balthazar
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1 |
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artikel
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| 57 |
Quantum circuit fidelity estimation using machine learning
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Vadali, Avi
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1 |
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artikel
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| 58 |
Quantum-classical reinforcement learning for decoding noisy classical parity information
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Park, Daniel K.
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1 |
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artikel
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| 59 |
Quantum convolutional neural network for classical data classification
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Hur, Tak
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1 |
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artikel
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| 60 |
Quantum convolutional neural networks with interaction layers for classification of classical data
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Mahmud, Jishnu
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1 |
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artikel
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| 61 |
Quantum density peak clustering
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Magano, Duarte
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1 |
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artikel
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| 62 |
Quantum Gaussian process regression for Bayesian optimization
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Rapp, Frederic
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1 |
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artikel
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| 63 |
Quantum image representation: a review
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Lisnichenko, Marina
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1 |
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artikel
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| 64 |
Quantum information distance based on classical descriptions
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Dai, Songsong
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1 |
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artikel
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| 65 |
Quantum learning with noise and decoherence: a robust quantum neural network
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Nguyen, Nam H.
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1 |
p. 1-15
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artikel
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| 66 |
Quantum learning with noise and decoherence: a robust quantum neural network
|
Nguyen, Nam H.
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1 |
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artikel
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| 67 |
Quantum neural networks successfully calibrate language models
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Neto, Jogi Suda
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1 |
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artikel
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| 68 |
Quantum pattern recognition on real quantum processing units
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Das, Sreetama
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1 |
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artikel
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| 69 |
Quantum reinforcement learning: the maze problem
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Dalla Pozza, Nicola
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1 |
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artikel
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| 70 |
Quantum sparse coding
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Romano, Yaniv
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1 |
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artikel
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| 71 |
Quantum transfer learning for acceptability judgements
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Buonaiuto, Giuseppe
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1 |
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artikel
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| 72 |
Quantum transfer learning for breast cancer detection
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Azevedo, Vanda
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1 |
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artikel
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| 73 |
Quanvolutional neural networks: powering image recognition with quantum circuits
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Henderson, Maxwell
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1 |
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artikel
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| 74 |
Quanvolutional neural networks: powering image recognition with quantum circuits
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Henderson, Maxwell
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1 |
p. 1-9
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artikel
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| 75 |
Robust implementation of generative modeling with parametrized quantum circuits
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Leyton-Ortega, Vicente
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1 |
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artikel
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| 76 |
SARS-CoV-2 spike and ACE2 entanglement-like binding
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Pregnolato, Massimo
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1 |
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artikel
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| 77 |
Semi-supervised time series classification method for quantum computing
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Yarkoni, Sheir
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1 |
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artikel
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| 78 |
Smooth input preparation for quantum and quantum-inspired machine learning
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Zhao, Zhikuan
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1 |
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artikel
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| 79 |
Sparse quantum Gaussian processes to counter the curse of dimensionality
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Kuś, Gaweł I.
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1 |
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artikel
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| 80 |
Stationary states of a dissipative two-qubit quantum channel and their applications for quantum machine learning
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Ghasemian, E.
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1 |
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artikel
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| 81 |
Subtleties in the trainability of quantum machine learning models
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Thanasilp, Supanut
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1 |
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artikel
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| 82 |
The effects of quantum hardware properties on the performances of variational quantum learning algorithms
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Buonaiuto, Giuseppe
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1 |
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artikel
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| 83 |
The physics of energy-based models
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Huembeli, Patrick
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1 |
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artikel
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| 84 |
The quantum realization of image linear gray enhancement
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Liu, Kai
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1 |
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artikel
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| 85 |
The quantum threat to blockchain: summary and timeline analysis
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Schärer, Kai
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1 |
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artikel
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| 86 |
Universal discriminative quantum neural networks
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Chen, H.
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1 |
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artikel
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| 87 |
Variational quantum Boltzmann machines
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Zoufal, Christa
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1 |
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artikel
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