**Impact on Technoloy**

## Index

## Artificial Intelligence

- Advances in Quantum Deep Learning: An Overview.
- A Leap among Entanglement and Neural Networks: A Quantum Survey
- AI for Next Generation Computing: Emerging Trends and Future Directions
- An introduction to quantum machine learning: from quantum logic to quantum deep learning
- An unsupervised feature learning for quantum-classical convolutional network with applications to fault detection
- 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.
- A quantum algorithm for training wide and deep classical neural networks
- A review on quantum computing and deep learning algorithms and their applications
- A rigorous and robust quantum speed-up in supervised machine learning.
- A Tutorial on Quantum Convolutional Neural Networks (QCNN).
- Bayesian Quantum Neural Networks
- Classical and Quantum Algorithms for Orthogonal Neural Networks
- Decompositional Quantum Graph Neural Network
- Developments of Neural Networks in Quantum Physics.
- Entangled Datasets for Quantum Machine Learning
- Experimental quantum speed-up in reinforcement learning agents
- Exploring the applications of deep reinforcement learning and quantum variational circuit In quantum machine learning
- Expressivity of Variational Quantum Machine Learning on the Boolean Cube
- Feasible Architecture for Quantum Fully Convolutional Networks
- Federated Quantum Machine Learning.
- Generalization in quantum machine learning from few training data
- Infrastructure for Artificial Intelligence, Quantum and High Performance Computing.
- Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation
- Large-scale quantum machine learning
- Machine Learning and Quantum Devices.
- Monte Carlo Quantum Computing.
- Power of data in quantum machine learning.
- QDataset: Quantum Datasets for Machine Learning
- QDCNN: Quantum Dilated Convolutional Neural Network
- Quantum Algorithms for Deep Convolutional Neural Networks.
- Quantum Algorithms for Feedforward Neural Networks.
- Quantum algorithm for neural network enhanced multi-classparallel classification
- Quantum Annealing Formulation for Binary Neural Networks
- Quantum convolutional neural network for classical data classification
- Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer
- Quantum Deep Reinforcement Learning for Robot Navigation Tasks
- Quantum-enhanced neural networks in the neural tangent kernel framework
- Quantum Graph Convolutional Neural Networks
- Quantum Neural Networks: Concepts, Applications, and Challenges
- Quantum Machine Learning(2018)
- Quantum Machine Learning(2020)
- Quantum Machine Learning: A tutorial
- Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go?
- Quantum Machine Learning: Recent Advances and Outlook.
- Quantum machine learning for data scientists
- QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity.
- 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
- Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses
- Security intrusion detection using quantum machine learning techniques
- Solving a Higgs optimization problem with quantum annealing for machine learning.
- Supervised Learning Using Quantum Technology.
- Synthetic weather radar using hybrid quantum-classical machine learning
- Systematic Literature Review: Quantum Machine Learning and its applications
- Training Quantum Neural Networks on NISQ Devices.
- Unified framework for quantum classification
- Variational Quantum Reinforcement Learning via Evolutionary Optimization
- When Machine Learning Meets Quantum Computers: A Case Study.

## Blockchain

## Communications

- A quantum walk control plane for distributed quantum computing in quantum networks
- Demonstration of quantum communication over optical fibers exceeding 600 km
- Futuristic view of the Internet of Quantum Drones: Review, challenges and research agenda
- Hybrid CV-DV Quantum Communications and Quantum Networks
- Minimizing Delay in Network Function Visualization with Quantum Computing
- Quantum Communication for Post-Pandemic Cybersecurity
- Quantum Computing and the Future Internet
- Quantum Data Networking for Distributed QuantumComputing: Opportunities and Challenges
- 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 Quantum Edge Detection Algorithm
- A Quantum-Classical Hybrid Method for Image Classification and Segmentation
- Image Classification via Quantum Machine Learning
- On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
- Quantum Enhanced Filter: QFilter.
- 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
- RGB Image Classification with Quantum Convolutional Ansaetze
- Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning

## Natural Language Processing

## Robotics

- A New Quantum-computing-based Algorithm for Robotic Arms and Rigid Bodiesâ€™ 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
- 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

## Security

- A Review of Quantum Cybersecurity: Threats, Risks and Opportunities
- Advances in Quantum Cryptography
- Cybersecurity for Quantum Computing
- Cybersecurity in the Quantum Era-A Study of Perceived Risks in Conventional Cryptography and Discussion on Post Quantum Methods
- Drive (Quantum) Safe! - Towards Post-Quantum Security for V2V Communications
- Getting Ready for Post-Quantum Cryptography
- IEEE Quantum: Implications of Quantum Technologies for Cybersecurity
- Making Existing Software Quantum Safe: Lessons Learned
- NSA Quantum Computing and Post-Quantum Cryptography FAQs
- Performance Evaluation for a Post-Quantum Public-Key Cryptosystem
- Post-Quantum Cryptography (NIST)
- Practical Preparations for the Post-Quantum World
- QEnclave - A practical solution for secure quantum cloud computing
- Quantum Computing for Military Applications
- Quantum technologies in defence & security
- The Complex Path to Quantum Resistance
- The Threat and Promise of Quantum Cybersecurity
- Untappable quantum cryptography becomes practical with MDI-QKD
- Will quantum computers defeat cryptographers