Quantum Machine Learning
248 papers for year 2022
Showing 229-240 of 248
Tierkreis: A Dataflow Framework for Hybrid Quantum-Classical Computing
Seyon Sivarajah, Lukas Heidemann, Alan Lawrence, Ross Duncan
TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits
Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian
Topical Review: Extracting Molecular Frame Photoionization Dynamics from Experimental Data
Paul Hockett, Varun Makhija
Topological data analysis on noisy quantum computers
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
Towards a scalable discrete quantum generative adversarial neural network
Smit Chaudhary, Patrick Huembeli, Ian MacCormack, Taylor L. Patti, Jean Kossaifi, Alexey Galda
Towards efficient and generic entanglement detection by machine learning
Jue Xu, Qi Zhao
Towards Quantum-Enabled 6G Slicing
Farhad Rezazadeh, Sarang Kahvazadeh, Mohammadreza Mosahebfard
Transformations for accelerator-based quantum circuit simulation in Haskell
Youssef Moawad, Wim Vanderbauwhede, René Steijl
Transitions in Computational Complexity of Continuous-Time Local Open Quantum Dynamics
Rahul Trivedi, J. Ignacio Cirac
Trie-based ranking of quantum many-body states
Markus Wallerberger, Karsten Held
Two-Qutrit entanglement: 56-years old algorithm challenges machine learning
Marcin Wieśniak
Unclonability and Quantum Cryptanalysis: From Foundations to Applications
Mina Doosti