AQUA: Analytics-driven quantum neural network (QNN) user assistance for software validation
This paper proposes a novel analytics-driven user assistance software validation approach
for quantum neural network (QNN) codes. The proposed analytics-driven QNN user …
for quantum neural network (QNN) codes. The proposed analytics-driven QNN user …
Quantum Artificial Intelligence: A Brief Survey
Abstract Quantum Artificial Intelligence (QAI) is the intersection of quantum computing and
AI, a technological synergy with expected significant benefits for both. In this paper, we …
AI, a technological synergy with expected significant benefits for both. In this paper, we …
Quantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse
A metaverse is composed of a physical-space and virtual-space, with the aim of having
users in both the virtual reality and the real world experience. Prioritization is essential, but it …
users in both the virtual reality and the real world experience. Prioritization is essential, but it …
Dynamic Quantum Federated Learning for Satellite-Ground Integrated Systems Using Slimmable Quantum Neural Networks
Recent advances in low Earth orbit (LEO) satellites have made it possible to achieve zero
blind spots on Earth. Considering the give locations of these devices, this makes satellite …
blind spots on Earth. Considering the give locations of these devices, this makes satellite …
Realizing stabilized landing for computation-limited reusable rockets: A quantum reinforcement learning approach
The advent of reusable rockets has heralded a new era in space exploration, reducing the
costs of launching satellites by a significant factor. Traditional rockets were disposable, but …
costs of launching satellites by a significant factor. Traditional rockets were disposable, but …
Quantum Computing in Wireless Communications and Networking: A Tutorial-cum-Survey
Owing to its outstanding parallel computing capabilities, quantum computing (QC) has been
a subject of continuous attention. With the gradual maturation of QC platforms, it has …
a subject of continuous attention. With the gradual maturation of QC platforms, it has …
Trends in quantum reinforcement learning: State‐of‐the‐arts and the road ahead
This paper presents the basic quantum reinforcement learning theory and its applications to
various engineering problems. With the advances in quantum computing and deep learning …
various engineering problems. With the advances in quantum computing and deep learning …
Quantum Neural Network Software Testing, Analysis, and Code Optimization for Advanced IoT Systems: Design, Implementation, and Visualization
This paper introduces a novel run-time testing, analysis, and code optimization (TACO)
method for quantum neural network (QNN) software in advanced Internet-of-Things (IoT) …
method for quantum neural network (QNN) software in advanced Internet-of-Things (IoT) …
Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks
Achieving global space-air-ground integrated network (SAGIN) access only with CubeSats
presents significant challenges such as the access sustainability limitations in specific …
presents significant challenges such as the access sustainability limitations in specific …
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
Quantum Reinforcement Learning (QRL) emerged as a branch of reinforcement learning
(RL) that uses quantum submodules in the architecture of the algorithm. One branch of QRL …
(RL) that uses quantum submodules in the architecture of the algorithm. One branch of QRL …