**Impact on Technoloy**

## Index

## Artificial Intelligence

- A LAPLACIAN-BASED QUANTUM GRAPH NEURAL NETWORK FOR SEMI-SUPERVISED LEARNING
- A Leap among Entanglement and Neural Networks: A Quantum Survey
- A Novel Quantum Neural Network Approach to Combating Fake Reviews
- A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms
- A quantum algorithm for training wide and deep classical neural networks
- A Quantum Federated Learning Framework for Classical Clients
- A Review of the Applications of Quantum Machine Learning in Optical Communication Systems
- A review on quantum computing and deep learning algorithms and their applications
- A rigorous and robust quantum speed-up in supervised machine learning
- A Software Architecting for Quantum Machine Learning Platform in Noisy Intermediate-Scale Quantum Era
- A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
- A Survey on Quantum Reinforcement Learning
- A Tutorial on Quantum Convolutional Neural Networks (QCNN)
- Adiabatic quantum learning
- Advances in Quantum Deep Learning: An Overview
- Advantage of Quantum Machine Learning from General Computational Advantages
- AI for Next Generation Computing: Emerging Trends and Future Directions
- An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients
- An Empirical Study of Bugs in Quantum Machine Learning Frameworks
- An introduction to quantum machine learning: from quantum logic to quantum deep learning
- Analysis of a hybrid quantum network for classification tasks
- Application of Quantum Machine Learning using the Quantum Variational Classifier Method to High Energy Physics Analysis at the LHC on IBM Quantum Computer Simulator and Hardware with 10 qubits
- Architectural Vision for Quantum Computing in the Edge-Cloud Continuum
- Batch Quantum Reinforcement Learning
- Bayesian Quantum Neural Networks
- Challenges and opportunities in the supervised learning of quantum circuit outputs
- Challenges for Reinforcement Learning in Quantum Computing
- Classical and Quantum Algorithms for Orthogonal Neural Networks
- Clustering Classical Data with Quantum k-Means
- Decompositional Quantum Graph Neural Network
- Deep learning as a tool of quantum error reduction in quantum image processing
- Design and analysis of quantum machine learning: a survey
- Developments of Neural Networks in Quantum Physics
- DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing
- Entangled Datasets for Quantum Machine Learning
- Evolutionary quantum feature selection
- Evolutionary-enhanced quantum supervised learning model
- Experimental Evaluation of Quantum Machine Learning Algorithms
- Experimental quantum speed-up in reinforcement learning agents
- Exploring the applications of deep reinforcement learning and quantum variational circuit In quantum machine learning
- Expressive Quantum Supervised Machine Learning using Kerr-nonlinear Parametric Oscillators
- Expressivity of Variational Quantum Machine Learning on the Boolean Cube
- Feasible Architecture for Quantum Fully Convolutional Networks
- Federated Quantum Machine Learning
- Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network
- Forging the Future: Strategic Approaches to Quantum AI Integration for Industry Transformation
- Foundations of Quantum Federated Learning Over Classical and Quantum Networks
- From Portfolio Optimization to Quantum Blockchain and Security: A Systematic Review of Quantum Computing in Finance
- General implementation of quantum physics-informed neural network
- Generalization in quantum machine learning from few training data
- Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits
- Hybrid quantum architecture for smart city security
- Hybrid Quantum Technologies for Quantum Support Vector Machines
- Hybrid Quantum-Classical Neural Network for Semantic Segmentation
- Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton’s Gradient Descent
- Infrastructure for Artificial Intelligence, Quantum and High Performance Computing.
- Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation
- Large-scale quantum machine learning
- Learning Infused Quantum-Classical Distributed Optimization Technique for Power Generation Scheduling
- Logarithmic Dimension Reduction for Quantum Neural Networks
- Machine Learning and Quantum Devices
- Machine Learning Applications of Quantum Computing: A Review
- Model-Driven Quantum Federated Learning (QFL)
- Monte Carlo Quantum Computing
- On Reducing the Amount of Samples Required for Training of QNNs: Constraints on the Linear Structure of the Training Data
- On the Applicability of Quantum Machine Learning
- On the Physics-Informed Neural Networks for Quantum Computers
- Power of data in quantum machine learning
- Predominant Aspects on Security for Quantum Machine Learning: Literature Review
- Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
- Provably Trainable Rotationally Equivariant Quantum Machine Learning
- ProxiML: Building Machine Learning Classifiers for Photonic Quantum Computing
- QDataset: Quantum Datasets for Machine Learning
- QDCNN: Quantum Dilated Convolutional Neural Network
- QUACK: Quantum Aligned Centroid Kernel
- Quantity study on a novel quantum neural network with alternately controlled gates for binary image classification
- Quantum Acceleration of Linear Regression for Artificial Neural Networks
- Quantum algorithm for neural network enhanced multi-classparallel classification
- Quantum Algorithms for Deep Convolutional Neural Networks
- Quantum Algorithms for Trust-Based AI Applications
- Quantum Annealing Formulation for Binary Neural Networks
- Quantum Artificial Intelligence: A tutorial
- Quantum classical hybrid neural networks for continuous variable prediction
- Quantum Clustering with k-Means: a Hybrid Approach
- Quantum Computing and AI in the Cloud
- Quantum convolutional neural network based on variational quantum circuits
- Quantum convolutional neural network for classical data classification
- Quantum Curriculum Learning
- Quantum Deep Learning
- Quantum Deep Learning: A Quick Guide to Quantum Convolutional Neural Networks
- Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer
- Quantum Deep Recurrent Reinforcement Learning
- Quantum Deep Reinforcement Learning for Robot Navigation Tasks
- Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications
- Quantum generative adversarial learning in photonics
- Quantum Generative Adversarial Networks: Bridging Classical and Quantum Realms
- Quantum Graph Convolutional Neural Networks
- Quantum Machine Learning Approach for the Prediction of Surface Roughness in Additive Manufactured Specimens
- Quantum Machine Learning Architecture Search via Deep Reinforcement Learning
- Quantum machine learning based on continuous variable single-photon states: an elementary foundation for quantum neural networks
- Quantum Machine Learning for Computational Methods in Engineering: A Systematic Review
- Quantum machine learning for data scientists
- Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go?
- Quantum Machine Learning State of the Art and Future Directions
- Quantum Machine Learning(2018)
- Quantum Machine Learning(2020)
- Quantum Machine Learning: A tutorial
- Quantum Machine Learning: from physics to software engineering
- Quantum Machine Learning: Recent Advances and Outlook
- Quantum machine-learning phase prediction of high-entropy alloys
- Quantum Neural Network for Quantum Neural Computing
- Quantum neural networks with multi-qubit potentials
- Quantum Neural Networks: Bridging Quantum Computing and Machine Learning
- Quantum Neural Networks: Concepts, Applications, and Challenges
- Quantum reinforcement learning
- Quantum Resonant Dimensionality Reduction and Its Application in Quantum Machine Learning
- Quantum Transfer Learning for Real-World, Small, and Large-Scale Datasets
- Quantum Vision Transformers
- Quantum-enhanced neural networks in the neural tangent kernel framework
- QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity
- QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation
- Realizing Quantum Convolutional Neural Networks on a Superconducting Quantum Processor to Recognize Quantum Phases
- Recent advances for quantum classifiers
- Recent advances in quantum machine learning
- Reconstructing Bayesian Networks on a Quantum Annealer
- Reinforcement Learning Quantum Local Search
- Reinforcement learning-based architecture search for quantum machine learning
- Reservoir Computing via Quantum Recurrent Neural Networks
- Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses
- Security intrusion detection using quantum machine learning techniques
- Seeking a quantum advantage for machine learning
- Solving a Higgs optimization problem with quantum annealing for machine learning
- Sparks of Quantum Advantage and Rapid Retraining in Machine Learning
- Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case
- Supervised Learning Using Quantum Technology
- Synthetic weather radar using hybrid quantum-classical machine learning
- Systematic Literature Review: Quantum Machine Learning and its applications
- Taking advantage of noise in quantum reservoir computing
- TeD-Q: a tensor network enhanced distributed hybrid quantum machine learning framework
- Towards Federated Learning on the Quantum Internet
- TRAINING MULTILAYER PERCEPTRONS BY SAMPLING WITH QUANTUM ANNEALERS
- Training Neural Networks with Universal Adiabatic Quantum Computing
- Training Quantum Neural Networks on NISQ Devices
- Unified framework for quantum classification
- Variational quantum algorithms for machine learning Theory and Applications
- Variational Quantum Reinforcement Learning via Evolutionary Optimization
- When Machine Learning Meets Quantum Computers: A Case Study

## Blockchain

- A Survey and Comparison of Post-quantum and Quantum Blockchains
- Decentralization using Quantum Blockchain: A Theoretical Analysis
- Post Quantum Secure Blockchain-based Federated Learning for Mobile Edge Computing
- Post-Quantum Blockchain-based Secure Service Orchestration in Multi-Cloud Networks
- Quantum blockchain based on asymmetric quantum encryption and a stake vote consensus algorithm
- Quantum-resistance in blockchain networks

## Communications

- A quantum walk control plane for distributed quantum computing in quantum networks
- A Survey of Important Issues in Quantum Computing and Communications
- Demonstration of quantum communication over optical fibers exceeding 600 km
- Distributed Quantum Computing: a Survey
- FIPS Compliant Quantum Secure Communication using Quantum Permutation Pad
- From Distributed Quantum Computing to Quantum Internet Computing: an Overview
- Futuristic view of the Internet of Quantum Drones: Review, challenges and research agenda
- Generative AI-enabled Quantum Computing Networks and Intelligent Resource Allocation
- Hybrid CV-DV Quantum Communications and Quantum Networks
- In-Network Quantum Computing for Future 6G Networks
- Minimizing Delay in Network Function Visualization with Quantum Computing
- QLSN: Quantum key distribution for large scale networks
- Quantum Communication for Post-Pandemic Cybersecurity
- Quantum Computing and the Future Internet
- Quantum Data Networking for Distributed QuantumComputing: Opportunities and Challenges
- Quantum repeaters: From quantum networks to the quantum internet
- Quantum Technologies in the Telecommunications Industry
- Resource Allocation in Quantum Networks for Distributed Quantum Computing
- Survey of Promising Technologies for Quantum Drones and Networks

## Image Processing

- A Facial Identification System
- A hybrid quantum image edge detector for the NISQ era
- A NOVEL STATE CONNECTION STRATEGY FOR QUANTUM COMPUTING TO REPRESENT AND COMPRESS DIGITAL IMAGES
- A Quantum Edge Detection Algorithm
- A Quantum-Classical Hybrid Method for Image Classification and Segmentation
- Accurate Chemical Reaction Modeling on Noisy Intermediate-Scale Quantum Computers Using a Noise Resilient Wavefunction Ansatz
- Digital-analog quantum convolutional neural networks for image classification
- Exploiting the Quantum Advantage for Satellite Image Processing: Review and Assessment
- H-QNN: A Hybrid Quantum–Classical Neural Network for Improved Binary Image Classification
- Hybrid adiabatic quantum computing for tomographic image reconstruction - opportunities and limitations
- Image Classification via Quantum Machine Learning
- Modelling Heterogeneous Catalysis using Quantum Computers: An academic and industry Perspective
- On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
- Parallel Structure of Hybrid Quantum-Classical Neural Networks for Image Classification
- Parallel Structure of Hybrid Quantum-Classical Neural Networks for Image Classification
- Quantum Annealing for Single Image Super-Resolution
- Quantum Approach to Satellite Image Data Compression and Analysis
- QUANTUM CONTRASTIVE LEARNING FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES
- Quantum Enhanced Filter: QFilter
- Quantum Federated Learning for Image Classification
- Quantum Image Processing: A review of advances in its security technologies
- Quantum Image Processing: Challenges and Future Research Issues
- Quantum Image Processing: Opportunities and Challenges
- Qubit-efficient Variational Quantum Algorithms for Image Segmentation
- RGB Image Classification with Quantum Convolutional Ansaetze
- Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning
- Traffic Sign Classification Using Deep and Quantum Neural Networks

## Natural Language Processing

- A hybrid classical-quantum workflow for natural language processing
- lambeq: An Efficient High-Level Python Library for Quantum NLP
- Natural Language, AI, and Quantum Computing in 2024
- Quantum Natural Language Processing on Near-Term Quantum Computers
- Quantum Natural Language Processing: A Comprehensive Survey
- Quantum Natural Language Processing: Challenges and Opportunities
- The Dawn of Quantum Natural Languague Processing

## Robotics

- A New Quantum-computing-based Algorithm for Robotic Arms and Rigid Bodies’ Orientation
- A Novel Quantum-Computing-Based Quaternions Model for a Robotic Arm Position
- Conceptual Framework for Quantum Affective Computing and Its Use in Fusion of Multi-Robot Emotions
- Does Creativity Help Us Survive? A Possible Approach with Quantum-Driven Robots
- MAZE NAVIGATION BY QUANTUM ROBOT: DEVELOPMENT OF QUANTUM MAZE SOLVING ALGORITHM
- qRobot: A Quantum computing approach in mobile robot order picking and batching problem solver optimization
- Quantum Computing for Designing Behavioral Model And Quantum Machine Learning on a Humanoid Robot
- Quantum Deep Reinforcement Learning for Robot Navigation Tasks
- Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management

## Security

- A Primer on Security of Quantum Computing
- A Review of Quantum Cybersecurity: Threats, Risks and Opportunities
- A Security Assessment tool for Quantum Threat Analysis
- Advances in Quantum Cryptography
- Authenticated Secure Quantum-based Communication Scheme in Internet-of-Drones Deployment
- Billiard Quantum Chaos: A Pioneering Image Encryption Scheme in the Post-Quantum Era
- Bridging Quantum Computing and Differential Privacy: A Survey on Quantum Computing Privacy
- Cyber Protection Applications of Quantum Computing: A Review
- Cybersecurity for Quantum Computing
- Cybersecurity in the Quantum Era-A Study of Perceived Risks in Conventional Cryptography and Discussion on Post Quantum Methods
- Cybersecurity in the Quantum Era: Assessing the Impact of Quantum Computing on Infrastructure
- DISTRIBUTED AND SECURE KERNEL-BASED QUANTUM MACHINE LEARNING
- Drive (Quantum) Safe! - Towards Post-Quantum Security for V2V Communications
- Elections in the Post- antum Era: Is the Complexity Shield Strong Enough?
- Full private delegated quantum computing tailored from user to industry
- Getting Ready for Post-Quantum Cryptography
- IEEE Quantum: Implications of Quantum Technologies for Cybersecurity
- Lightweight Public Key Encryption in Post-Quantum Computing Era
- Making Existing Software Quantum Safe: Lessons Learned
- NIST’s Post-Quantum Cryptography Standards Competition
- NSA Quantum Computing and Post-Quantum Cryptography FAQs
- Performance Evaluation for a Post-Quantum Public-Key Cryptosystem
- Post-Quantum Cryptography (NIST)
- Post-Quantum Security: Origin, Fundamentals, and Adoption
- Practical Preparations for the Post-Quantum World
- QEnclave - A practical solution for secure quantum cloud computing
- Quantum computing and its potential impact on U.S. cybersecurity
- Quantum Computing Approach for Energy Optimization in a Prosumer Community
- Quantum Computing for Military Applications
- QUANTUM COMPUTING IN CRYPTOGRAPHY
- Quantum Computing: An Assessment into the Impactsof Post-Quantum Cryptography
- Quantum technologies in defence & security
- Quantum-Safe Deep Learning for FutureProofing Cloud Security: A Survey
- Quantum-safe: Cybersecurity in the age of Quantum-Powered AI
- Recent Progress in Quantum Computing Relevant to Internet Security
- Recent Progress in Quantum Key Distribution Network Deployments and Standards
- Supercomputers and Quantum Computing on the Axis of Cyber Security
- The Complex Path to Quantum Resistance
- The Quantum Cybersecurity Threat May Arrive Sooner Than You Think
- The Threat and Promise of Quantum Cybersecurity
- Toward Privacy in Quantum Program Execution On Untrusted Quantum Cloud Computing Machines for Business-sensitive Quantum Needs
- Towards Secure Classical-Quantum Systems
- Transitioning to a Quantum-Secure Economy
- Transitioning Towards Quantum-Safe Government
- Untappable quantum cryptography becomes practical with MDI-QKD
- Will quantum computers defeat cryptographers