Distributed hybrid quantum-classical performance prediction for hyperparameter optimization

2024-9-14

Quantum contextual bandits and recommender systems for quantum data

2024-9-12

Quantum next generation reservoir computing: an efficient quantum algorithm for forecasting quantum dynamics

2024-9-9

Pulsar classification: comparing quantum convolutional neural networks and quantum support vector machines

2024-9-6

Quantum power flows: from theory to practice

2024-9-5

Computing exact moments of local random quantum circuits via tensor networks

2024-9-2

On the interpretability of quantum neural networks

2024-8-28

VQC-based reinforcement learning with data re-uploading: performance and trainability

2024-8-28

An encoding of argumentation problems using quadratic unconstrained binary optimization

2024-8-26

XpookyNet: advancement in quantum system analysis through convolutional neural networks for detection of entanglement

2024-8-20

A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search

2024-8-6

Analyzing the effectiveness of quantum annealing with meta-learning

2024-7-25

SoK: quantum computing methods for machine learning optimization

2024-7-24

Graph representation learning for parameter transferability in quantum approximate optimization algorithm

2024-7-22

A hyperparameter study for quantum kernel methods

2024-7-15

Hybrid genetic optimization for quantum feature map design

2024-7-15

Federated quantum long short-term memory (FedQLSTM)

2024-7-9

Quantum extremal learning

2024-7-5

Evaluation of VQC-LSTM for disability forecasting in multiple sclerosis using sequential multisequence MRI

2024-7-5

Leveraging Quantum Kernel Support Vector Machine for breast cancer diagnosis from Digital Breast Tomosynthesis images

2024-7-3

Quantum state reconstruction in a noisy environment via deep learning

2024-7-2

Iteration-Free quantum approximate optimization algorithm using neural networks

2024-7-1

Quantum circuits for discrete graphical models

2024-6-28

Recognizing good variational quantum circuits with Monte Carlo Tree Search

2024-6-27

Peptide binding classification on quantum computers

2024-6-10

Quantum optimization for training quantum neural networks

2024-6-1

Solving the vehicle routing problem via quantum support vector machines

2024-6-1

Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction

2024-5-24

Quantum support vector machines for classification and regression on a trapped-ion quantum computer

2024-5-18

Correction: Learning with density matrices and random features

2024-5-14

Exploring the features of quanvolutional neural networks for improved image classification

2024-5-13

Quantum state tomography using quantum machine learning

2024-5-7

Improved financial forecasting via quantum machine learning

2024-5-7

Quantum deep learning-based anomaly detection for enhanced network security

2024-5-2

Permutation invariant encodings for quantum machine learning with point cloud data

2024-5-2

A novel approach for quantum financial simulation and quantum state preparation

2024-4-25

A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation

2024-4-23

A parameterized quantum circuit for estimating distribution measures

2024-4-23

From conceptual spaces to quantum concepts: formalising and learning structured conceptual models

2024-4-15

Behavior prediction of fiber optic temperature sensor based on hybrid classical quantum regression model

2024-4-4

Hybrid classical-quantum transfer learning for text classification

2024-3-17

Parallel hybrid quantum-classical machine learning for kernelized time-series classification

2024-3-10

Classification of data with a qudit, a geometric approach

2024-3-7

A quantum procedure for estimating information gain in Boolean classification task

2024-3-5

Quantum transfer learning for acceptability judgements

2024-3-4

Distributed quantum neural networks via partitioned features encoding

2024-3-4

Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators

2024-3-4

Grover’s search with learning oracle for constrained binary optimization problems

2024-2-24

Quantum convolutional neural networks with interaction layers for classification of classical data

2024-2-21

A kernel-based quantum random forest for improved classification

2024-2-7