The Expressive Power of Parameterized Quantum Circuits

The Expressive Power of Parameterized Quantum Circuits

29 October 2018

Papers citing "The Expressive Power of Parameterized Quantum Circuits"

15 / 15 papers shown

Title
eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels Alexander C. DeRieux Walid Saad 46 1 0 24 May 2024
Generative Invertible Quantum Neural Networks Armand Rousselot M. Spannowsky BDL 16 9 0 24 Feb 2023
Reservoir Computing via Quantum Recurrent Neural Networks Samuel Yen-Chi Chen D. Fry Amol Deshmukh V. Rastunkov Charlee Stefanski 21 16 0 04 Nov 2022
Quantum deep recurrent reinforcement learning Samuel Yen-Chi Chen 50 17 0 26 Oct 2022
Classical Simulation of Variational Quantum Classifiers using Tensor Rings Dheeraj Peddireddy V. Bansal Vaneet Aggarwal 16 11 0 21 Jan 2022
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 38 81 0 01 Sep 2021
Federated Quantum Machine Learning Samuel Yen-Chi Chen Shinjae Yoo FedML AI4CE 19 115 0 22 Mar 2021
Learning quantum data with the quantum Earth Mover's distance B. Kiani Giacomo De Palma M. Marvian Zi-Wen Liu S. Lloyd 21 45 0 08 Jan 2021
Evaluation of Parameterized Quantum Circuits: on the relation between classification accuracy, expressibility and entangling capability T. Hubregtsen Josef Pichlmeier Patrick Stecher K. Bertels 19 13 0 22 Mar 2020
Robust data encodings for quantum classifiers Ryan Larose Brian Coyle 19 238 0 03 Mar 2020
Information Scrambling in Quantum Neural Networks Huitao Shen Pengfei Zhang Yi-Zhuang You H. Zhai GNN 9 46 0 26 Sep 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 27 869 0 18 Jun 2019
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang Tongliang Liu Cheng Deng Wei Liu Dacheng Tao FedML 14 144 0 09 May 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 27 155 0 03 Apr 2019
Efficient Learning for Deep Quantum Neural Networks Kerstin Beer Dmytro Bondarenko Terry Farrelly T. Osborne Robert Salzmann Ramona Wolf 11 546 0 27 Feb 2019