Quantum machine learning: from physics to software engineering

A Melnikov, M Kordzanganeh, A Alodjants… - Advances in Physics …, 2023 - Taylor & Francis
Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …

Variational quantum reinforcement learning via evolutionary optimization

SYC Chen, CM Huang, CW Hsing… - Machine Learning …, 2022 - iopscience.iop.org
Recent advances in classical reinforcement learning (RL) and quantum computation point to
a promising direction for performing RL on a quantum computer. However, potential …

Quantum architecture search via continual reinforcement learning

E Ye, SYC Chen - arXiv preprint arXiv:2112.05779, 2021 - arxiv.org
Quantum computing has promised significant improvement in solving difficult computational
tasks over classical computers. Designing quantum circuits for practical use, however, is not …

[PDF][PDF] Exploring the Latest Applications of OpenAI and ChatGPT: An In-Depth Survey.

H Zhang, H Shao - CMES-Computer Modeling in Engineering & …, 2024 - cdn.techscience.cn
OpenAI and ChatGPT, as state-of-the-art language models driven by cutting-edge artificial
intelligence technology, have gained widespread adoption across diverse industries. In the …

Performance analysis of a hybrid agent for quantum-accessible reinforcement learning

A Hamann, S Wölk - New Journal of Physics, 2022 - iopscience.iop.org
In the last decade quantum machine learning has provided fascinating and fundamental
improvements to supervised, unsupervised and reinforcement learning (RL). In RL, a so …

Quantum Deep Reinforcement Learning for Robot Navigation Tasks

H Hohenfeld, D Heimann, F Wiebe, F Kirchner - IEEE Access, 2024 - ieeexplore.ieee.org
We utilize hybrid quantum deep reinforcement learning to learn navigation tasks for a
simple, wheeled robot in simulated environments of increasing complexity. For this, we train …

[PDF][PDF] Quantum machine learning: On the design, trainability and noise-robustness of near-term algorithms

A Skolik - 2023 - scholarlypublications …
The past decade has brought on tremendous progress in the quest to build a quantum
computer, and cloud access to first devices is starting to get available. Although these …

[PDF][PDF] 3. félévi beszámoló

N Dániel - physics.elte.hu
A doktori kutatásom célja az elmúlt években hatalmas fejlodésen keresztülment
kvantuminformáció-technológia és a szintén nagy népszeruségnek örvendo gépi tanulás …