Variational Quantum Algorithms

16 December 2020

Jarrod R. McClean

Papers citing "Variational Quantum Algorithms"

50 / 157 papers shown

Title
Group-Invariant Quantum Machine Learning Martín Larocca F. Sauvage Faris M. Sbahi Guillaume Verdon Patrick J. Coles M. Cerezo AI4CE 18 117 0 04 May 2022
Dynamical simulation via quantum machine learning with provable generalization Joe Gibbs Zoë Holmes Matthias C. Caro Nic Ezzell Hsin-Yuan Huang L. Cincio A. Sornborger Patrick J. Coles AI4CE 23 43 0 21 Apr 2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits Jiahao Yao Haoya Li Marin Bukov Lin Lin Lexing Ying 16 15 0 30 Mar 2022
Compositional optimization of quantum circuits for quantum kernels of support vector machines E. Torabian R. Krems 11 10 0 25 Mar 2022
Quantum-enhanced Markov chain Monte Carlo David Layden G. Mazzola R. Mishmash M. Motta P. Wocjan Jin-Sung Kim S. Sheldon 19 54 0 23 Mar 2022
Policy Gradients using Variational Quantum Circuits André Sequeira L. Santos Luis Soares Barbosa 39 11 0 20 Mar 2022
projUNN: efficient method for training deep networks with unitary matrices B. Kiani Randall Balestriero Yann LeCun S. Lloyd 43 32 0 10 Mar 2022
The complexity of quantum support vector machines Gian Gentinetta Arne Thomsen David Sutter Stefan Woerner 42 40 0 28 Feb 2022
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge Nicholas J. Teague AAML 15 1 0 18 Feb 2022
Variational quantum solutions to the Shortest Vector Problem Martin R. Albrecht Milos Prokop Yixin Shen P. Wallden 16 11 0 14 Feb 2022
An Empirical Review of Optimization Techniques for Quantum Variational Circuits Owen Lockwood 23 16 0 03 Feb 2022
Classical Simulation of Variational Quantum Classifiers using Tensor Rings Dheeraj Peddireddy V. Bansal Vaneet Aggarwal 16 11 0 21 Jan 2022
Quantum Capsule Networks Zidu Liu Pei-Xin Shen Weikang Li L. Duan D. Deng GNN 43 18 0 05 Jan 2022
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze Han Zheng Zimu Li Junyu Liu Sergii Strelchuk Risi Kondor 53 54 0 14 Dec 2021
Towards Efficient Ansatz Architecture for Variational Quantum Algorithms Anbang Wu Gushu Li Yuke Wang Boyuan Feng Yufei Ding Yuan Xie 19 9 0 26 Nov 2021
Generalization in quantum machine learning from few training data Matthias C. Caro Hsin-Yuan Huang M. Cerezo Kunal Sharma A. Sornborger L. Cincio Patrick J. Coles 8 354 0 09 Nov 2021
Representation Learning via Quantum Neural Tangent Kernels Junyu Liu F. Tacchino Jennifer R. Glick Liang Jiang Antonio Mezzacapo 24 60 0 08 Nov 2021
Graph neural network initialisation of quantum approximate optimisation Nishant Jain Brian Coyle E. Kashefi N. Kumar GNN AI4CE 35 48 0 04 Nov 2021
Quantum tangent kernel Norihito Shirai K. Kubo K. Mitarai Keisuke Fujii 33 25 0 04 Nov 2021
Subtleties in the trainability of quantum machine learning models Supanut Thanasilp Samson Wang Nhat A. Nghiem Patrick J. Coles M. Cerezo 38 61 0 27 Oct 2021
Learning quantum dynamics with latent neural ODEs M. Choi Daniel Flam-Shepherd T. Kyaw A. Aspuru‐Guzik BDL AI4CE 32 5 0 20 Oct 2021
The Dawn of Quantum Natural Language Processing R. Sipio Jia-Hong Huang Samuel Yen-Chi Chen Stefano Mangini M. Worring 50 80 0 13 Oct 2021
Learnability of the output distributions of local quantum circuits M. Hinsche M. Ioannou A. Nietner J. Haferkamp Yihui Quek D. Hangleiter Jean-Pierre Seifert Jens Eisert R. Sweke 35 17 0 11 Oct 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 20 11 0 08 Oct 2021
Feasible Architecture for Quantum Fully Convolutional Networks Yusui Chen Wenhao Hu Xiang Li 13 1 0 05 Oct 2021
Theory of overparametrization in quantum neural networks Martín Larocca Nathan Ju Diego García-Martín Patrick J. Coles M. Cerezo 43 188 0 23 Sep 2021
Towards a variational Jordan-Lee-Preskill quantum algorithm Junyu Liu Zimu Li Han Zheng Xiao Yuan Jinzhao Sun 9 19 0 12 Sep 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 19 58 0 08 Sep 2021
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? Samson Wang Piotr Czarnik A. Arrasmith M. Cerezo L. Cincio Patrick J. Coles 68 81 0 02 Sep 2021
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
Recent advances for quantum classifiers Weikang Li D. Deng AAML 39 84 0 30 Aug 2021
Representation of binary classification trees with binary features by quantum circuits R. Heese P. Bickert A. Niederle 21 19 0 30 Aug 2021
A Leap among Quantum Computing and Quantum Neural Networks: A Survey F. V. Massoli Lucia Vadicamo Giuseppe Amato Fabrizio Falchi 25 32 0 06 Jul 2021
Accelerating variational quantum algorithms with multiple quantum processors Yuxuan Du Yan Qian Dacheng Tao 9 8 0 24 Jun 2021
Variational Quanvolutional Neural Networks with enhanced image encoding Denny Mattern Darya Martyniuk Henri Willems F. Bergmann Adrian Paschke 23 26 0 14 Jun 2021
Quantum Algorithms and Simulation for Parallel and Distributed Quantum Computing Rhea Parekh Andrea Ricciardi Ahmed Darwish Stephen Diadamo LRM 14 28 0 12 Jun 2021
Encoding-dependent generalization bounds for parametrized quantum circuits Matthias C. Caro Elies Gil-Fuster Johannes Jakob Meyer Jens Eisert R. Sweke UQCV 16 101 0 07 Jun 2021
The Inductive Bias of Quantum Kernels Jonas M. Kubler Simon Buchholz Bernhard Schölkopf 19 119 0 07 Jun 2021
Variational Quantum Classifiers Through the Lens of the Hessian Pinaki Sen Amandeep Singh Bhatia A. Bhatia Ahmed Elbeltagi 17 24 0 21 May 2021
Training Quantum Embedding Kernels on Near-Term Quantum Computers T. Hubregtsen David Wierichs Elies Gil-Fuster Peter-Jan H. S. Derks Paul K. Faehrmann Johannes Jakob Meyer 25 93 0 05 May 2021
Optimal training of variational quantum algorithms without barren plateaus Tobias Haug M. S. Kim 43 35 0 29 Apr 2021
Towards understanding the power of quantum kernels in the NISQ era Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 38 68 0 31 Mar 2021
Reinforcement learning for optimization of variational quantum circuit architectures M. Ostaszewski Lea M. Trenkwalder Wojciech Masarczyk Eleanor Scerri Vedran Dunjko 29 135 0 30 Mar 2021
Federated Quantum Machine Learning Samuel Yen-Chi Chen Shinjae Yoo FedML AI4CE 19 115 0 22 Mar 2021
Quantum federated learning through blind quantum computing Weikang Li Sirui Lu D. Deng FedML 21 82 0 15 Mar 2021
Quantum machine learning with adaptive linear optics Ulysse Chabaud D. Markham A. Sohbi 13 21 0 08 Feb 2021
Long-time simulations with high fidelity on quantum hardware Joe Gibbs Kaitlin Gili Zoë Holmes Benjamin Commeau A. Arrasmith L. Cincio Patrick J. Coles A. Sornborger 52 53 0 08 Feb 2021
Practical distributed quantum information processing with LOCCNet Xuanqiang Zhao Benchi Zhao Zihe Wang Zhixin Song Xin Wang 38 30 0 28 Jan 2021
On the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 53 43 0 15 Jan 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