An Introduction to Quantum Machine Learning for Engineers

An Introduction to Quantum Machine Learning for Engineers

11 May 2022

Osvaldo Simeone

Papers citing "An Introduction to Quantum Machine Learning for Engineers"

18 / 18 papers shown

Title
On the Generalization of Adversarially Trained Quantum Classifiers Petros Georgiou Aaron Mark Thomas Sharu Theresa Jose Osvaldo Simeone AAML 31 0 0 24 Apr 2025
Neuromorphic Wireless Split Computing with Multi-Level Spikes Dengyu Wu Jiechen Chen Bipin Rajendran H. Vincent Poor Osvaldo Simeone 44 1 0 07 Nov 2024
Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks Gyu Seon Kim Yeryeong Cho Jaehyun Chung Soohyun Park Soyi Jung Zhu Han Joongheon Kim 30 2 0 24 Jun 2024
QMViT: A Mushroom is worth 16x16 Words Siddhant Dutta Hemant Singh Kalpita Shankhdhar Sridhar Iyer 31 0 0 11 May 2024
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis Petros Georgiou Sharu Theresa Jose Osvaldo Simeone AAML 22 4 0 31 Jan 2024
Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE Thinh Viet Le V. Kekatos 19 3 0 14 Nov 2023
Towards Efficient and Trustworthy AI Through Hardware-Algorithm-Communication Co-Design Yongchao Chen Osvaldo Simeone Bashir M. Al-Hashimi 39 4 0 27 Sep 2023
Statistical Complexity of Quantum Learning L. Banchi Jason Luke Pereira Sharu Theresa Jose Osvaldo Simeone 37 12 0 20 Sep 2023
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning Sangwoo Park Osvaldo Simeone 27 9 0 06 Apr 2023
Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management Won Joon Yun Jae Pyoung Kim Soyi Jung Jae-Hyun Kim Joongheon Kim OffRL 21 31 0 04 Jan 2023
Online Convex Optimization of Programmable Quantum Computers to Simulate Time-Varying Quantum Channels Hari Hara Suthan Chittoor Osvaldo Simeone L. Banchi S. Pirandola 18 0 0 09 Dec 2022
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding Won Joon Yun Jae Pyoung Kim Hankyul Baek Soyi Jung Jihong Park M. Bennis Joongheon Kim 25 4 0 04 Dec 2022
Quantum Split Neural Network Learning using Cross-Channel Pooling Won Joon Yun Hankyul Baek Joongheon Kim 34 4 0 12 Nov 2022
Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis Sharu Theresa Jose Osvaldo Simeone 24 8 0 23 Sep 2022
Quantum Machine Learning for Distributed Quantum Protocols with Local Operations and Noisy Classical Communications Hari Hara Suthan Chittoor Osvaldo Simeone 13 2 0 22 Jul 2022
Learning Quantum Entanglement Distillation with Noisy Classical Communications Hari Hara Suthan Chittoor Osvaldo Simeone 11 7 0 17 May 2022
Optimisation-free Classification and Density Estimation with Quantum Circuits Vladimir Vargas-Calderón Fabio A. González Herbert Vinck-Posada 40 6 0 28 Mar 2022
Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis Sharu Theresa Jose Osvaldo Simeone 8 3 0 17 Jan 2022