Quantum Circuit
Quantum circuits are the fundamental building blocks of quantum computation, aiming to leverage quantum phenomena for computational advantage. Current research heavily focuses on optimizing circuit design for efficiency and robustness, exploring various architectures like variational quantum circuits (VQCs) and quantum neural networks (QNNs), often employing reinforcement learning and other advanced optimization techniques to mitigate issues like barren plateaus and noise. These efforts are crucial for advancing the capabilities of near-term quantum devices and enabling practical applications in areas such as quantum machine learning and optimization problems. The development of efficient and reliable quantum circuits is a key step towards realizing the full potential of quantum computing.
Papers
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang, Yu Pan, Zenglin Xu, Xiangli Yang, Guangxi Li, Andrzej Cichocki
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski