Power of data in quantum machine learning

3 November 2020

Hsin-Yuan Huang

Michael Broughton

Masoud Mohseni

Ryan Babbush

Sergio Boixo

Hartmut Neven

Jarrod R. McClean

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Papers citing "Power of data in quantum machine learning"

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Title
High Dimensional Quantum Machine Learning With Small Quantum Computers Simon Marshall Casper Gyurik Vedran Dunjko 16 28 0 25 Mar 2022
Policy Gradients using Variational Quantum Circuits André Sequeira L. Santos Luis Soares Barbosa 39 11 0 20 Mar 2022
Quantum neural networks force fields generation Oriel Kiss F. Tacchino S. Vallecorsa I. Tavernelli AI4CE 19 19 0 09 Mar 2022
AI for Next Generation Computing: Emerging Trends and Future Directions S. Gill Minxian Xu Carlo Ottaviani Panos Patros Rami Bahsoon ... R. Sakellariou Schahram Dustdar Omer F. Rana Ivona Brandić Steve Uhlig 23 389 0 05 Mar 2022
Quantum Deep Learning for Mutant COVID-19 Strain Prediction Yumi Jin Junmin Hu Qi Li Zhirui Luo Fangxin Zhang Hao Tang Kun Qian Xian-min Jin MedIm 25 7 0 04 Mar 2022
Optimal quantum dataset for learning a unitary transformation Zhan Yu Xuanqiang Zhao Benchi Zhao Xin Wang 24 8 0 01 Mar 2022
From Quantum Graph Computing to Quantum Graph Learning: A Survey Yehui Tang Junchi Yan Hancock Edwin GNN 24 9 0 19 Feb 2022
Scalable approach to many-body localization via quantum data Alexander Gresch Lennart Bittel M. Kliesch 17 2 0 17 Feb 2022
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing Chao-Han Huck Yang Jun Qi Samuel Yen-Chi Chen Yu Tsao Pin-Yu Chen 14 51 0 17 Feb 2022
Systematic Literature Review: Quantum Machine Learning and its applications David Peral García Juan Cruz-Benito Francisco José García-Penalvo 30 119 0 11 Jan 2022
Generalized quantum similarity learning Santosh Kumar Radha Casey Jao 20 2 0 07 Jan 2022
An Introduction to Quantum Computing for Statisticians and Data Scientists A. Lopatnikova Minh-Ngoc Tran S. Sisson 15 3 0 13 Dec 2021
Quantum kernels for real-world predictions based on electronic health records Z. Krunic Frederik F. Flöther G. Seegan Nathan Earnest-Noble Omar Shehab 8 36 0 12 Dec 2021
Synthetic weather radar using hybrid quantum-classical machine learning Graham Enos M. Reagor Maxwell P. Henderson Christina Young K. Horton Mandy Birch C. Rigetti 9 9 0 30 Nov 2021
Importance of Kernel Bandwidth in Quantum Machine Learning Ruslan Shaydulin Stefan M. Wild 30 37 0 09 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
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
Quantum machine learning beyond kernel methods Sofiene Jerbi Lukas J. Fiderer Hendrik Poulsen Nautrup Jonas M. Kubler H. Briegel Vedran Dunjko 14 159 0 25 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
Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery H. Kawaguchi MedIm 26 6 0 09 Oct 2021
Quantum pixel representations and compression for $N$ -dimensional images Mercy G. Amankwah Daan Camps E. .. Bethel R. Beeumen T. Perciano 16 34 0 08 Oct 2021
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks Jun Qi Chao-Han Huck Yang Pin-Yu Chen 29 44 0 06 Oct 2021
Theory of overparametrization in quantum neural networks Martín Larocca Nathan Ju Diego García-Martín Patrick J. Coles M. Cerezo 34 188 0 23 Sep 2021
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification A. Sebastianelli Daniela A. Zaidenberg D. Spiller Bertrand Le Saux Silvia Liberata Ullo 20 90 0 20 Sep 2021
Differentiable Physics: A Position Piece Bharath Ramsundar Dilip Krishnamurthy V. Viswanathan PINN AI4CE 37 14 0 14 Sep 2021
Quantum Machine Learning for Finance Marco Pistoia Syed Farhan Ahmad Akshay Ajagekar A. Buts Shouvanik Chakrabarti ... Pierre Minssen Pradeep Niroula Arthur G. Rattew Yue Sun Romina Yalovetzky AIFin 21 22 0 09 Sep 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 19 58 0 08 Sep 2021
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper) M. Alam Satwik Kundu R. Topaloglu Swaroop Ghosh VLM 22 32 0 07 Sep 2021
Quantum machine learning of large datasets using randomized measurements Tobias Haug C. Self Myungshik S. Kim 26 50 0 02 Aug 2021
Quantum Artificial Intelligence for the Science of Climate Change Manmeet Singh C. Dhara Adarsh Kumar S. Gill Steve Uhlig AI4CE 14 15 0 28 Jul 2021
Fock State-enhanced Expressivity of Quantum Machine Learning Models Beng Yee Gan Daniel Leykam D. Angelakis 32 26 0 12 Jul 2021
Non-parametric Semi-Supervised Learning in Many-body Hilbert Space with Rescaled Logarithmic Fidelity Wei-Ming Li Shi-Ju Ran 13 2 0 01 Jul 2021
Accelerating variational quantum algorithms with multiple quantum processors Yuxuan Du Yan Qian Dacheng Tao 9 8 0 24 Jun 2021
Provably efficient machine learning for quantum many-body problems Hsin-Yuan Huang R. Kueng Giacomo Torlai Victor V. Albert J. Preskill AI4CE 16 231 0 23 Jun 2021
The dilemma of quantum neural networks Yan Qian Xinbiao Wang Yuxuan Du Xingyao Wu Dacheng Tao 13 30 0 09 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 19 118 0 07 Jun 2021
Quantum Embedding Search for Quantum Machine Learning N. Nguyen Kwang-Cheng Chen 12 26 0 25 May 2021
Structural risk minimization for quantum linear classifiers Casper Gyurik Dyon van Vreumingen Vedran Dunjko 13 32 0 12 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 20 93 0 05 May 2021
Optimal training of variational quantum algorithms without barren plateaus Tobias Haug M. S. Kim 37 35 0 29 Apr 2021
Towards understanding the power of quantum kernels in the NISQ era Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 35 68 0 31 Mar 2021
Quantum Self-Supervised Learning Ben Jaderberg L. W. Anderson Weidi Xie Samuel Albanie M. Kiffner D. Jaksch SSL 21 39 0 26 Mar 2021
Variational inference with a quantum computer Marcello Benedetti Brian Coyle Mattia Fiorentini M. Lubasch Matthias Rosenkranz BDL 22 37 0 11 Mar 2021
Quantum machine learning with differential privacy William Watkins Samuel Yen-Chi Chen Shinjae Yoo 21 47 0 10 Mar 2021
Parametrized quantum policies for reinforcement learning Sofiene Jerbi Casper Gyurik Simon Marshall H. Briegel Vedran Dunjko 40 103 0 09 Mar 2021
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer Robin Lorenz A. Pearson K. Meichanetzidis Dimitri Kartsaklis B. Coecke 27 109 0 25 Feb 2021
Generalization in Quantum Machine Learning: a Quantum Information Perspective L. Banchi Jason Pereira S. Pirandola 29 22 0 17 Feb 2021
Quantum machine learning with adaptive linear optics Ulysse Chabaud D. Markham A. Sohbi 13 21 0 08 Feb 2021
Ansatz-Independent Variational Quantum Classifier Hideyuki Miyahara V. Roychowdhury 8 8 0 02 Feb 2021