On the statistical complexity of quantum circuits

15 January 2021

Papers citing "On the statistical complexity of quantum circuits"

21 / 21 papers shown

Title
Stability and Generalization of Quantum Neural Networks Jiaqi Yang Wei Xie Xiaohua Xu 72 1 0 22 Jan 2025
Pseudorandom unitaries are neither real nor sparse nor noise-robust Tobias Haug Kishor Bharti D. E. Koh 73 23 0 20 Jun 2023
Variational Quantum Algorithms M. Cerezo A. Arrasmith Ryan Babbush S. Benjamin Suguru Endo ... Jarrod R. McClean K. Mitarai Xiao Yuan L. Cincio Patrick J. Coles 107 2,540 0 16 Dec 2020
Depth-Width Trade-offs for Neural Networks via Topological Entropy Kaifeng Bu Yaobo Zhang Qingxian Luo 44 8 0 15 Oct 2020
Trainability of Dissipative Perceptron-Based Quantum Neural Networks Kunal Sharma M. Cerezo L. Cincio Patrick J. Coles GNN 69 148 0 26 May 2020
Pseudo-dimension of quantum circuits Matthias C. Caro Ishaun Datta 61 43 0 04 Feb 2020
Efficient Learning for Deep Quantum Neural Networks Kerstin Beer Dmytro Bondarenko Terry Farrelly T. Osborne Robert Salzmann Ramona Wolf 65 563 0 27 Feb 2019
Continuous-variable quantum neural networks N. Killoran T. Bromley J. M. Arrazola Maria Schuld N. Quesada S. Lloyd GNN 46 359 0 18 Jun 2018
Size-Independent Sample Complexity of Neural Networks Noah Golowich Alexander Rakhlin Ohad Shamir 154 551 0 18 Dec 2017
$Machine learning \& artificial intelligence in the quantum domain$ Machine learning \& artificial intelligence in the quantum domain Vedran Dunjko Hans J. Briegel 55 347 0 08 Sep 2017
Recent Trends in Deep Learning Based Natural Language Processing Tom Young Devamanyu Hazarika Soujanya Poria Min Zhang 77 2,835 0 09 Aug 2017
Quantum machine learning: a classical perspective C. Ciliberto Mark Herbster Alessandro Davide Ialongo Massimiliano Pontil Andrea Rocchetto Simone Severini Leonard Wossnig AI4CE 78 440 0 26 Jul 2017
Exploring Generalization in Deep Learning Behnam Neyshabur Srinadh Bhojanapalli David A. McAllester Nathan Srebro FAtt 162 1,259 0 27 Jun 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 210 1,225 0 26 Jun 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 700 10,799 0 19 Feb 2017
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling Sebastian Ramos S. Gehrig Peter Pinggera Uwe Franke Carsten Rother 154 174 0 20 Dec 2016
Quantum Machine Learning Jacob Biamonte P. Wittek Nicola Pancotti Patrick Rebentrost N. Wiebe S. Lloyd 66 2,024 0 28 Nov 2016
Benefits of depth in neural networks Matus Telgarsky 380 609 0 14 Feb 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 292 591 0 27 Feb 2015
Dropout improves Recurrent Neural Networks for Handwriting Recognition Vu Pham Théodore Bluche Christopher Kermorvant J. Louradour 111 567 0 05 Nov 2013
Rejoinder: 2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization V. Koltchinskii 576 196 0 01 Aug 2007