yusuke1997/dblp-id-title huggingface dataset:
Quantum circuit fidelity estimation using machine learning
Boost clustering with Gaussian Boson Sampling: a quantum-classical hybrid approach
The effect of the processing and measurement operators on the expressive power of quantum models
Charged particle tracking with quantum annealing optimization
Computational complexity in high-dimensional quantum computing
Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators
Quantum boosting using domain-partitioning hypotheses
An efficient prediction-based dynamic resource allocation framework in quantum cloud using knowledge-based offline reinforcement learning
A case study for cyber-attack detection using quantum variational circuits
Quantum image cryptography based on discrete chaotic maps
QRLaXAI: quantum representation learning and explainable AI
Analysis and synthesis of feature map for kernel-based quantum classifier
Binary classification with classical instances and quantum labels
Learning reduced representations for quantum classifiers
Quantum autoencoders for image classification
A quantum procedure for estimating information gain in Boolean classification task
Exoplanet discovery with variational quantum circuits
Quantum circuits for word embeddings
Hybrid quantum-classical machine learning for enhanced PCOS classification
Unsupervised beyond-standard-model event discovery at the LHC with a novel quantum autoencoder
Boosting the performance of quantum annealers using machine learning
Quantum state tomography using quantum machine learning
Harnessing quantum support vector machines for cross-domain classification of quantum states
Artificial intelligence and blockchain for quantum satellites and UAV-based communications: a review
Learning classical readout quantum PUFs based on single-qubit gates
Variational quantum Boltzmann machines
Meta-variational quantum Monte Carlo
QDNN: deep neural networks with quantum layers
Methods for accelerating geospatial data processing using quantum computers
Mapping graph coloring to quantum annealing
Quantum federated learning: a comprehensive literature review of foundations, challenges, and future directions
On fundamental aspects of quantum extreme learning machines
Stochastic security as a performance metric for quantum-enhanced generative AI
Learning the noise fingerprint of quantum devices
Hybrid quantum ResNet for car classification and its hyperparameter optimization
Quantum Metropolis Solver: a quantum walks approach to optimization problems
A quantum neural network for sequential data analysis in machine learning
On quantum ensembles of quantum classifiers
Classical ensembles of single-qubit quantum variational circuits for classification
Stationary states of a dissipative two-qubit quantum channel and their applications for quantum machine learning
Crop leaf disease classification using fractional integral image enhancement and quantum convolutional neural networks approaches
Application of ZX-calculus to quantum architecture search
Quantum convolution image processing by quantum wavelet transform for extraction of features
Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study
DevQCC: Device-Aware Quantum Circuit Cutting framework with applications in quantum machine learning
Quantum support vector machines for classification and regression on a trapped-ion quantum computer
A matrix product state model for simultaneous classification and generation
Quantum deep learning-based anomaly detection for enhanced network security
Quantum neural network autoencoder and classifier applied to an industrial case study
Quantum machine learning: a systematic categorization based on learning paradigms, NISQ suitability, and fault tolerance
Quantum algorithms for structured prediction
Classical splitting of parametrized quantum circuits
A kernel-based quantum random forest for improved classification
Deep tensor networks with matrix product operators
Sparse quantum Gaussian processes to counter the curse of dimensionality
Classical-quantum hybrid recommendation system based on collaborative filtering and demographics
Semi-supervised time series classification method for quantum computing
A hybrid machine learning algorithm for designing quantum experiments
Parallel Ising annealer via gradient-based Hamiltonian Monte Carlo
Polynomial quantum computing algorithms for solving the dualization problem for positive Boolean functions
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning
Quantum convolutional neural networks for multi-channel supervised learning
Hybrid classical-quantum transfer learning for text classification
Decoding surface code with a distributed neural network-based decoder
Robust implementation of generative modeling with parametrized quantum circuits
Error-mitigated data-driven circuit learning on noisy quantum hardware
Pairwise classification using quantum support vector machine with Kronecker kernel
Quantum-assisted associative adversarial network: applying quantum annealing in deep learning
A reinforcement learning approach for quantum state engineering
Quantum reinforcement learning: the maze problem
Evaluation of parameterized quantum circuits: on the relation between classification accuracy, expressibility, and entangling capability
Large scale structure-aware pronoun resolution using quantum natural language processing
Quantum-classical reinforcement learning for decoding noisy classical parity information
A quantum model for constrained Markowitz modern portfolio using slack variables to process mixed-binary optimization under QAOA
Learning adiabatic quantum algorithms over optimization problems
Unleashing the expressive power of pulse-based quantum neural networks
Faster quantum state decomposition with Tucker tensor approximation
What we can do with one qubit in quantum machine learning: ten classical machine learning problems that can be solved with a single qubit
A hyperparameter study for quantum kernel methods
Optimum-preserving QUBO parameter compression
Nav-Q: quantum deep reinforcement learning for collision-free navigation of self-driving cars
Rapid training of quantum recurrent neural networks
Bayesian network structure learning using quantum generative models
LHQNN: sequential and non-sequential layered hybrid quantum neural networks for image classification
Graph representation learning for parameter transferability in quantum approximate optimization algorithm
The quantum realization of image linear gray enhancement
Complex-encoded quantum convolutional neural networks
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
Dimension-adaptive machine learning-based quantum state reconstruction
A hybrid quantum image edge detector for the NISQ era
Mixer-phaser Ansätze for quantum optimization with hard constraints
Quantum-inspired classification based on quantum state discrimination
The cross-sectional stock return predictions via quantum neural network and tensor network
Hybrid classical-quantum multilayer neural networks for monitoring agricultural activities using remote sensing data
Overfitting in quantum machine learning and entangling dropout
Quantum circuits for discrete graphical models
Quantum-inspired multi-agent reinforcement learning for exploration-exploitation optimization in UAV-assisted 6G network deployment
Explaining quantum circuits with Shapley values: towards explainable quantum machine learning
Leveraging Quantum Kernel Support Vector Machine for breast cancer diagnosis from Digital Breast Tomosynthesis images
Quantum annealing for enhanced feature selection in single-cell RNA sequencing data analysis
An encoding of argumentation problems using quadratic unconstrained binary optimization
Hybrid classical-quantum image processing via polar Walsh basis functions
Implementation of a Hamming distance-like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne
Universal discriminative quantum neural networks
Optimizer-dependent generalization bound for quantum neural networks
Improved financial forecasting via quantum machine learning
Pulsar classification: comparing quantum convolutional neural networks and quantum support vector machines
Swarm-intelligence-based quantum-inspired optimization techniques for enhancing algorithmic efficiency and empirical assessment
Hybrid quantum error-corrected Hadamard edge detection using adaptive state-vector mean thresholding: HQEHED-AMT
Quantum information distance based on classical descriptions
Information geometry of nonmonotonic quantum natural gradient
Quantum algorithms for SVD-based data representation and analysis
Quantum-enhanced cortical deep echo state network for fast and accurate speech emotion recognition
Interaction graph-based characterization of quantum benchmarks for improving quantum circuit mapping techniques
Benchmarking the operation of quantum heuristics and Ising machines: scoring parameter setting strategies on optimization applications
HiQC: hybrid quantum classical deep learning with parameter efficient quantum modules
kNN classification using Hausdorff metric with quantum-based Euclidean distance
Conditional generative models for learning stochastic processes
Quantum latent diffusion models
Implementable hybrid quantum ant colony optimization algorithm
Quantum AI powered dynamic user profiling for next-generation personalized recommender system
The role of encodings and distance metrics for the quantum nearest neighbor
On the interpretability of quantum neural networks
SoK: quantum computing methods for machine learning optimization
Bipolar fuzzy attribute implications
Quantum contextual bandits and recommender systems for quantum data
Applying quantum autoencoders for time series anomaly detection
Design and evaluation of a quantum variational graph auto-encoder using quantum graph neural networks
Publisher Correction: Kernel density matrices for probabilistic deep learning
Resource saving via ensemble techniques for quantum neural networks
Policy gradients using variational quantum circuits
Quantum transfer learning for acceptability judgements
An introduction to quantum machine learning: from quantum logic to quantum deep learning
Adiabatic quantum support vector machines
Determining probability density functions with adiabatic quantum computing
Continuous-variable neural network quantum states and the quantum rotor model
Detecting Markovianity of quantum processes via recurrent neural networks
A note on implication operators of quantum logic
A semi-agnostic ansatz with variable structure for variational quantum algorithms
Nondestructive classification of quantum states using an algorithmic quantum computer
Sarcopenia risk prediction and feature selection by using quantum machine learning algorithms
Quantum optimization for training quantum neural networks
Continuous-variable optimization with neural network quantum states
Quantum transfer learning for breast cancer detection
Recognizing good variational quantum circuits with Monte Carlo Tree Search
On reducing the amount of samples required for training of QNNs: constraints on the linear structure of the training data
Quantum deep sets and sequences
Mode connectivity in the loss landscape of parameterized quantum circuits
An inductive bias from quantum mechanics: learning order effects with non-commuting measurements
On quantum implication
Decohering tensor network quantum machine learning models
Layered uploading for quantum convolutional neural networks
A fuzzy approach using asymmetrical triangular distribution in a two-person zero-sum game for a multi-criteria decision-making problem
Facial expression recognition on a quantum computer
Correction: Classical-quantum hybrid recommendation system based on collaborative filtering and demographics
Using Shor's algorithm on near term Quantum computers: a reduced version
Empirical power of quantum encoding methods for binary classification
Quantum circuit design search
From conceptual spaces to quantum concepts: formalising and learning structured conceptual models
Hybrid classical-quantum autoencoder for anomaly detection
Parallel hybrid quantum-classical machine learning for kernelized time-series classification
An invitation to distributed quantum neural networks
A weighted quantum ensemble of homogeneous quantum classifiers
Quantum subroutine for variance estimation: algorithmic design and applications
The effects of quantum hardware properties on the performances of variational quantum learning algorithms
Equivariant quantum graph circuits: constructions for universal approximation over graphs
Quantum state reconstruction in a noisy environment via deep learning
Machine learning with sub-diffraction resolution in the photon-counting regime
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation
Explainable artificial intelligence enhanced quantum-inspired spider monkey optimization for a constrained portfolio optimization proble
Iteration-Free quantum approximate optimization algorithm using neural networks
K-spin Hamiltonian for quantum-resolvable Markov decision processes
A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search
A quantum approach to synthetic minority oversampling technique (SMOTE)
A novel approach for quantum financial simulation and quantum state preparation
A quantum "black box" for entropy calculation
Quantum image representation: a review
Quantum enhanced stratification of breast cancer: exploring quantum expressivity for real omics data
Transformer models for quantum gate set tomography
Comparing quantum and classical machine learning for Vector Boson Scattering background reduction at the Large Hadron Collider
Data augmentation in cancer image classification problem with quantum GAN
Continuous-variable quantum Boltzmann machine
Quantum inference for Bayesian networks: an empirical study
Network attack traffic detection with hybrid quantum-enhanced convolution neural network
Application of quantum-inspired tensor networks to optimize federated learning systems
MAQML: a Meta-approach to Quantum Machine Learning with Accentuated Sample Variations for Unobtrusive Mental Health Monitoring
An evolutionary strategy for finding effective quantum 2-body Hamiltonians of p -body interacting systems
Quanvolutional neural networks: powering image recognition with quantum circuits
Grammar-aware sentence classification on quantum computers
Financial fraud detection using quantum graph neural networks
Deep Q-learning with hybrid quantum neural network on solving maze problems
Grover's search with learning oracle for constrained binary optimization problems
Layerwise learning for quantum neural networks
Behavior prediction of fiber optic temperature sensor based on hybrid classical quantum regression model
Quantum algorithms for weighted constrained sampling and weighted model counting
Machine learning for arbitrary single-qubit rotations on an embedded device
Solving the vehicle routing problem via quantum support vector machines
Permutation invariant encodings for quantum machine learning with point cloud data
Quantum self-attention for visual unsupervised clustering
Coherent feed-forward quantum neural network
Skin cancer image classification using hybrid quantum deep learning model with BiLSTM and MobileNetV2
On hybrid quanvolutional neural networks optimization
Quantum extremal learning
Subtleties in the trainability of quantum machine learning models
Optimisation of pulse waveforms for qubit gates using deep learning
Exploring the features of quanvolutional neural networks for improved image classification
Feature selection on quantum computers
QuanFlex-GAN: a flexible algorithm for image generation via quantum generative modeling
Hybrid quantum tensor networks for aeroelastic applications
Feature permutation for quantum machine learning
A randomized transformation for data processing on quantum computers
Quantum-convolution-based hybrid neural network model for arrhythmia detection
Online learning of a panoply of quantum objects
Optimizing quantum heuristics with meta-learning
Bayesian Parameterized Quantum Circuit Optimization (BPQCO): a task and hardware-dependent approach
QuSplit: achieving both high fidelity and throughput via job splitting on noisy quantum computers
If AI machine cannot think, can QI machine think? - from negative numbers to quantum intelligence for mind-light-matter unity
Adaptive neural network for quantum error mitigation
Integrating quantum CI and generative AI for Taiwanese/English co-learning
Federated quantum long short-term memory (FedQLSTM)
On-board classification of underwater images using hybrid classical-quantum CNN-based method
Guest editorial: topical collection of the 2023 workshop on quantum artificial intelligence
Integration of parameterized quantum circuits within classical neural network for financial time-series prediction
Effective detection of quantum discord by using convolutional neural networks
Barren plateaus are amplified by the dimension of qudits
Linear-layer-enhanced quantum long short-term memory for carbon price forecasting
Generative model for learning quantum ensemble with optimal transport loss
Quantum kernel methods under scrutiny: a benchmarking study
Bayesian deep learning on a quantum computer
On neural quantum support vector machines
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization
Quantum machine intelligence
Data re-uploading with a single qudit
Software bug prediction using entanglement-enhanced quantum support vector machines (E-QSVM)
Multi-level quantum inspired metaheuristics for automatic clustering of hyperspectral images
Accuracy and minor embedding in subqubo decomposition with fully connected large problems: a case study about the number partitioning problem
A real-world test of portfolio optimization with quantum annealing
Quantum reinforcement learning via policy iteration
Simplified quantum algorithm for the oracle identification problem
Correction to: Quantum next generation reservoir computing: an efficient quantum algorithm for forecasting quantum dynamics
XpookyNet: advancement in quantum system analysis through convolutional neural networks for detection of entanglement
Quantum variational rewinding for gravitational wave detection
Generalization error bound for quantum machine learning in NISQ era - a survey
Multilingual multi-task quantum transfer learning
Quantum power flows: from theory to practice
Publisher Correction: Parallel Ising annealer via gradient-based Hamiltonian Monte Carlo
Investigating the Chinese postman problem on a quantum annealer
Quantum pattern recognition on real quantum processing units
Quantum convolutional neural networks with interaction layers for classification of classical data
Hybrid quantum-classical reinforcement learning in latent observation spaces
Quantum Gaussian process regression for Bayesian optimization
Kernel density matrices for probabilistic deep learning
Increasing the quantum tunneling probability through a learned ancilla-assisted protocol
Quantum autoencoders for communication-efficient cloud computing
Quantum next generation reservoir computing: an efficient quantum algorithm for forecasting quantum dynamics
Optimal training of finitely sampled quantum reservoir computers for forecasting of chaotic dynamics
A continuous-variable quantum-inspired algorithm for classical image segmentation
Publisher Correction: Boost clustering with Gaussian Boson Sampling: a quantum-classical hybrid approach
Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective
Quantum neural networks successfully calibrate language models
Classification of quantum correlations via quantum-inspired machine learning
Hybrid genetic optimization for quantum feature map design
Quantum neural networks in practice: a comparative study with classical models from standard data sets to industrial images
Quantum-inspired neural networks for time-series air pollution prediction and control of the most polluted region in the world
Estimation of mutual information via quantum kernel methods
MEMO-QCD: quantum density estimation through memetic optimisation for quantum circuit design
SARS-CoV-2 spike and ACE2 entanglement-like binding
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction
Quantum-accessible reinforcement learning beyond strictly epochal environments
Kernel methods in Quantum Machine Learning
VAE-QWGAN: addressing mode collapse in quantum GANs via autoencoding priors
A hybrid quantum neural network for split learning
Quantum density peak clustering
An evolutionary quantum generative adversarial network
Quarta: quantum supervised and unsupervised learning for binary classification in domain-incremental learning
Tensor ring optimized quantum-enhanced tensor neural networks
Reconstructing quantum states with VAE and CVAE
A projective simulation scheme for partially observable multi-agent systems
The quantum threat to blockchain: summary and timeline analysis
Training Gaussian boson sampling by quantum machine learning
Quantum visual feature encoding revisited
Representations of Dialogue State for Domain and Task Independent Meta-Dialogue
Use of Inductive Logic Programming to Learn Principles of Protein Structure
Teleo-Reactive Programs and the Triple-Tower Architecture
Developing a Logical Model of Yeast Metabolism
A Constraint-Based Approach to the Description and Detection of Fitness-for-Purpose
Decision Theory, the Situation Calculus and Conditional Plans
A Knowledge Representation for Information Filtering Using Formal Concept Analysis
Managing Context in a Conversational Agent
On the Design of Software Individuals
A Study of Ants' Numerical Competence
Useful Counterfactuals
Logic-Based Modelling of Goal-Directed Behavior
Approaches for Simulating and Modeling Cell Regulation: Search for a Unified View Using Constraints
Predicate Construction in Higher-order Logic
Foundations for the Situation Calculus
TAL: Temporal Action Logics Language Specification and Tutorial
Learning Stochastic Logic Programs
The Acquisition of Grammar in an Evolving Population of Language Agents
Language-Processing Strategies and Mixed-Initiative Dialogues
It Takes Two (At Least) to Tango
A Practical, Declarative Theory of Dialog
A Bootstrapping Model for Children's Vocabulary Acquisition using Inductive Logic Programming
An Inductive Definition Approach to Ramifications
HypothesisCreator: Concepts for Accelerating the Computational Knowledge Discovery Process
Multi-Agent Reinforcement Learning with Vicarious Rewards
Automatic determination of protein fold signatures from structural superpositions
Causality in Action Theories
Solving Constraint Satisfaction Problems with NB-Resolution
A quantum mechanics based representation of molecules for machine inference
Minimal Knowledge Approach to Reasoning about Actions and Sensing
Publishing and Reviewing in the ETAI
A Survey of Knowledge Sources in Dialogue Systems
A Logical Foundation of Metaphoric Search Based on Abstraction Approach
Object-Oriented First-Order Logic
Compilability of Domain Descriptions in the Language A
Return of the Imitation Game
Universal Dialogue Specification for Conversational Systems
Interleaving Planning and Execution in a Multiagent Team Planning Environment
Motor Skill as Dynamic Constraint Satisfaction
A Logical Account of the Common Sense Informatic Situation for a Mobile Robot
Cognitive Robotics Logic and its Metatheory: Features and Fluents Revisited
Incremental Encoding of Multiple Inheritance Hierarchies Supporting Lattice Operations
Plan Execution, Monitoring, and Adaptation for Planetary Rovers
Faceted Knowledge Representation
Introduction to the Fluent Calculus
Simple Pre- and Post-Pruning Techniques for Large Conceptual Clustering Structures
Symbolic and qualitative reconstruction of control skill
Reasoning about Actions, Narratives and Ramification
A Theory of Dynamic Diagnosis. Electronic Transactions on Artificial Intelligence
Dialogue Requirements for Argumentation Systems
Information States and Dialogue Move Engines