nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A hybrid quantum-classical approach for inference on restricted Boltzmann machines
|
Kālis, Mārtiņš |
|
|
|
2 |
|
artikel |
2 |
A hybrid quantum image edge detector for the NISQ era
|
Geng, Alexander |
|
|
|
2 |
|
artikel |
3 |
An introduction to quantum machine learning: from quantum logic to quantum deep learning
|
Alchieri, Leonardo |
|
|
|
2 |
|
artikel |
4 |
An invitation to distributed quantum neural networks
|
Pira, Lirandë |
|
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|
2 |
|
artikel |
5 |
A note on implication operators of quantum logic
|
Dai, Songsong |
|
|
|
2 |
|
artikel |
6 |
A quantum “black box” for entropy calculation
|
Koren, Michal |
|
|
|
2 |
|
artikel |
7 |
A quantum generative adversarial network for distributions
|
Assouel, Amine |
|
|
|
2 |
|
artikel |
8 |
A semi-agnostic ansatz with variable structure for variational quantum algorithms
|
Bilkis, M. |
|
|
|
2 |
|
artikel |
9 |
Charged particle tracking with quantum annealing optimization
|
Zlokapa, Alexander |
|
|
|
2 |
|
artikel |
10 |
Classical splitting of parametrized quantum circuits
|
Tüysüz, Cenk |
|
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|
2 |
|
artikel |
11 |
Comparing quantum and classical machine learning for Vector Boson Scattering background reduction at the Large Hadron Collider
|
Cugini, Davide |
|
|
|
2 |
|
artikel |
12 |
Compiling basic linear algebra subroutines for quantum computers
|
Zhao, Liming |
|
|
|
2 |
|
artikel |
13 |
Computational complexity in high-dimensional quantum computing
|
Nagata, Koji |
|
|
|
2 |
|
artikel |
14 |
Computing graph edit distance on quantum devices
|
Incudini, Massimiliano |
|
|
|
2 |
|
artikel |
15 |
Conditional generative models for learning stochastic processes
|
Certo, Salvatore |
|
|
|
2 |
|
artikel |
16 |
Correction to: Mixer‑phaser ansätze for quantum optimization with hard constraints
|
LaRose, Ryan |
|
|
|
2 |
|
artikel |
17 |
Data re-uploading with a single qudit
|
Wach, Noah L. |
|
|
|
2 |
|
artikel |
18 |
Deep tensor networks with matrix product operators
|
Žunkovič, Bojan |
|
|
|
2 |
|
artikel |
19 |
Estimating the degree of non-Markovianity using variational quantum circuits
|
Dinani, Hossein T. |
|
|
|
2 |
|
artikel |
20 |
Faster quantum state decomposition with Tucker tensor approximation
|
Stanislav, Protasov |
|
|
|
2 |
|
artikel |
21 |
Hybrid classical-quantum autoencoder for anomaly detection
|
Sakhnenko, Alona |
|
|
|
2 |
|
artikel |
22 |
Hybrid quantum classical graph neural networks for particle track reconstruction
|
Tüysüz, Cenk |
|
|
|
2 |
|
artikel |
23 |
Hybrid quantum ResNet for car classification and its hyperparameter optimization
|
Sagingalieva, Asel |
|
|
|
2 |
|
artikel |
24 |
Implementable hybrid quantum ant colony optimization algorithm
|
de Andoin, M. Garcia |
|
|
|
2 |
|
artikel |
25 |
Interaction graph-based characterization of quantum benchmarks for improving quantum circuit mapping techniques
|
Bandic, Medina |
|
|
|
2 |
|
artikel |
26 |
K-spin Hamiltonian for quantum-resolvable Markov decision processes
|
Jones, Eric B. |
|
|
|
2 |
|
artikel |
27 |
Learning classical readout quantum PUFs based on single-qubit gates
|
Pirnay, Niklas |
|
|
|
2 |
|
artikel |
28 |
Learning with density matrices and random features
|
González, Fabio A. |
|
|
|
2 |
|
artikel |
29 |
Linear-layer-enhanced quantum long short-term memory for carbon price forecasting
|
Cao, Yuji |
|
|
|
2 |
|
artikel |
30 |
Mapping graph coloring to quantum annealing
|
Silva, Carla |
|
|
|
2 |
|
artikel |
31 |
Mixer-phaser Ansätze for quantum optimization with hard constraints
|
LaRose, Ryan |
|
|
|
2 |
|
artikel |
32 |
On the convergence of projective-simulation–based reinforcement learning in Markov decision processes
|
Boyajian, W. L. |
|
|
|
2 |
|
artikel |
33 |
Optimisation-free density estimation and classification with quantum circuits
|
Vargas-Calderón, Vladimir |
|
|
|
2 |
|
artikel |
34 |
Overfitting in quantum machine learning and entangling dropout
|
Kobayashi, Masahiro |
|
|
|
2 |
|
artikel |
35 |
Pairwise classification using quantum support vector machine with Kronecker kernel
|
Nohara, Taisei |
|
|
|
2 |
|
artikel |
36 |
Pseudo-dimension of quantum circuits
|
Caro, Matthias C. |
|
|
|
2 |
|
artikel |
37 |
Quantum-accessible reinforcement learning beyond strictly epochal environments
|
Hamann, A. |
|
|
|
2 |
|
artikel |
38 |
Quantum algorithms for structured prediction
|
Sepehry, Behrooz |
|
|
|
2 |
|
artikel |
39 |
Quantum algorithms for SVD-based data representation and analysis
|
Bellante, Armando |
|
|
|
2 |
|
artikel |
40 |
Quantum autoencoders for communication-efficient cloud computing
|
Zhu, Yan |
|
|
|
2 |
|
artikel |
41 |
Quantum boosting using domain-partitioning hypotheses
|
Chatterjee, Sagnik |
|
|
|
2 |
|
artikel |
42 |
Quantum circuit design search
|
Pirhooshyaran, Mohammad |
|
|
|
2 |
|
artikel |
43 |
Quantum computing for a profusion of postman problem variants
|
Pion, Joel E. |
|
|
|
2 |
|
artikel |
44 |
Quantum computing methods for supervised learning
|
Kulkarni, Viraj |
|
|
|
2 |
|
artikel |
45 |
Quantum convolutional neural networks for multi-channel supervised learning
|
Smaldone, Anthony M. |
|
|
|
2 |
|
artikel |
46 |
Quantum Metropolis Solver: a quantum walks approach to optimization problems
|
Campos, Roberto |
|
|
|
2 |
|
artikel |
47 |
Quantum neural network autoencoder and classifier applied to an industrial case study
|
Mangini, Stefano |
|
|
|
2 |
|
artikel |
48 |
Quantum reinforcement learning via policy iteration
|
Cherrat, El Amine |
|
|
|
2 |
|
artikel |
49 |
Quantum semi-supervised kernel learning
|
Saeedi, Seyran |
|
|
|
2 |
|
artikel |
50 |
Rapid training of quantum recurrent neural networks
|
Siemaszko, Michał |
|
|
|
2 |
|
artikel |
51 |
Resource saving via ensemble techniques for quantum neural networks
|
Incudini, Massimiliano |
|
|
|
2 |
|
artikel |
52 |
Simplified quantum algorithm for the oracle identification problem
|
Taghavi, Leila |
|
|
|
2 |
|
artikel |
53 |
The cross-sectional stock return predictions via quantum neural network and tensor network
|
Kobayashi, Nozomu |
|
|
|
2 |
|
artikel |
54 |
The effect of the processing and measurement operators on the expressive power of quantum models
|
Gratsea, Aikaterini (Katerina) |
|
|
|
2 |
|
artikel |
55 |
Time series quantum classifiers with amplitude embedding
|
Cuéllar, M. P. |
|
|
|
2 |
|
artikel |
56 |
Training Gaussian boson sampling by quantum machine learning
|
Conti, Claudio |
|
|
|
2 |
|
artikel |
57 |
Using Shor’s algorithm on near term Quantum computers: a reduced version
|
Rossi, Martina |
|
|
|
2 |
|
artikel |