Quantum Machine Learning
248 papers for year 2022
Showing 37-48 of 248
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Maxwell T. West, Sarah M. Erfani, Christopher Leckie, Martin Sevior, Lloyd C. L. Hollenberg, Muhammad Usman
Binary Classification Quantum Neural Network Model Based on Optimized Grover Algorithm.
Zhao W, Wang Y, Qu Y, Ma H, Wang S.
Blockchain and quantum cryptography: Future of secure telecommunications in banking
Olajide Soji Osundare, Chidiebere Somadina Ike, Ololade Gilbert Fakeyede, Adebimpe Bolatito Ige
Boosting Quantum Fidelity with an Ordered Diverse Ensemble of Clifford Canary Circuits
Gokul Subramanian Ravi, Jonathan M. Baker, Kaitlin N. Smith, Nathan Earnest, Ali Javadi-Abhari, Frederic Chong
Calibrating the Classical Hardness of the Quantum Approximate Optimization Algorithm
Maxime Dupont, Nicolas Didier, Mark J. Hodson, Joel E. Moore, Matthew J. Reagor
Category Theory for Quantum Natural Language Processing
Alexis Toumi
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise
Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo
Challenges and opportunities of quantum-computational chemistry
Zhenyu Li, Jie Liu, Xiangjian Shen, Feixue Gao
Classical and Quantum Iterative Optimization Algorithms Based on Matrix Legendre-Bregman Projections
Zhengfeng Ji
Classical and quantum metrology of the Lieb-Liniger model
Jae-Gyun Baak, Uwe R. Fischer
Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networks
Anupama Ray, Sai Sakunthala Guddanti, Vishnu Ajith, Dhinakaran Vinayagamurthy
Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
Jonas Landman, Slimane Thabet, Constantin Dalyac, Hela Mhiri, Elham Kashefi