Training-efficient density quantum machine learning

30 May 2024

Papers citing "Training-efficient density quantum machine learning"

46 / 46 papers shown

Title
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks Koki Chinzei Shinichiro Yamano Quoc-Hoan Tran Yasuhiro Endo H. Oshima 72 2 0 26 Jun 2024
Mixtral of Experts Albert Q. Jiang Alexandre Sablayrolles Antoine Roux A. Mensch Blanche Savary ... Théophile Gervet Thibaut Lavril Thomas Wang Timothée Lacroix William El Sayed MoE LLMAG 73 1,049 0 08 Jan 2024
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing M. Cerezo Martín Larocca Diego García-Martín N. L. Diaz Paolo Braccia ... Pablo Bermejo Aroosa Ijaz Supanut Thanasilp Eric R. Anschuetz Zoë Holmes 56 130 0 14 Dec 2023
Variational measurement-based quantum computation for generative modeling Arunava Majumder Marius Krumm Tina Radkohl Hendrik Poulsen Nautrup Sofiene Jerbi Hans J. Briegel 48 7 0 20 Oct 2023
Post-variational quantum neural networks Po-Wei Huang Patrick Rebentrost 35 4 0 20 Jul 2023
Shadows of quantum machine learning Sofiene Jerbi Casper Gyurik Simon Marshall Riccardo Molteni Vedran Dunjko 39 43 0 31 May 2023
Improved Financial Forecasting via Quantum Machine Learning Sohum Thakkar Skander Kazdaghli Natansh Mathur Iordanis Kerenidis A. J. Ferreira-Martins Samurai Brito QC Ware Corp AIFin 30 24 0 31 May 2023
On quantum backpropagation, information reuse, and cheating measurement collapse Amira Abbas Robbie King Hsin-Yuan Huang W. Huggins R. Movassagh D. Gilboa Jarrod R. McClean 52 40 0 22 May 2023
Quantum Deep Hedging El Amine Cherrat S. Raj Iordanis Kerenidis Abhishek Shekhar Ben Wood ... Pierre Minssen Ruslan Shaydulin Yue Sun Romina Yalovetzky Marco Pistoia 41 25 0 29 Mar 2023
Challenges and Opportunities in Quantum Machine Learning M. Cerezo Guillaume Verdon Hsin-Yuan Huang L. Cincio Patrick J. Coles VLM 31 412 0 16 Mar 2023
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 62 92 0 16 Oct 2022
Quantum Vision Transformers El Amine Cherrat Iordanis Kerenidis Natansh Mathur Jonas Landman M. Strahm Yun. Y Li ViT 41 58 0 16 Sep 2022
Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT James Lee-Thorp Joshua Ainslie MoE 46 12 0 24 May 2022
Overfitting in quantum machine learning and entangling dropout Masahiro Kobayashi Kouhei Nakaji N. Yamamoto 34 29 0 23 May 2022
On the Representation Collapse of Sparse Mixture of Experts Zewen Chi Li Dong Shaohan Huang Damai Dai Shuming Ma ... Payal Bajaj Xia Song Xian-Ling Mao Heyan Huang Furu Wei MoMe MoE 58 102 0 20 Apr 2022
projUNN: efficient method for training deep networks with unitary matrices B. Kiani Randall Balestriero Yann LeCun S. Lloyd 56 32 0 10 Mar 2022
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 52 364 0 09 Nov 2021
Quantum machine learning beyond kernel methods Sofiene Jerbi Lukas J. Fiderer Hendrik Poulsen Nautrup Jonas M. Kubler Hans J. Briegel Vedran Dunjko 35 166 0 25 Oct 2021
Scaling Vision with Sparse Mixture of Experts C. Riquelme J. Puigcerver Basil Mustafa Maxim Neumann Rodolphe Jenatton André Susano Pinto Daniel Keysers N. Houlsby MoE 59 587 0 10 Jun 2021
Parallelized Computation and Backpropagation Under Angle-Parametrized Orthogonal Matrices F. Hamze 37 1 0 30 May 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 316 4,873 0 24 Feb 2021
Supervised quantum machine learning models are kernel methods Maria Schuld 119 365 0 26 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 163 428 0 06 Jan 2021
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 74 2,487 0 16 Dec 2020
The effect of data encoding on the expressive power of variational quantum machine learning models Maria Schuld R. Sweke Johannes Jakob Meyer 43 500 0 19 Aug 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 453 41,106 0 28 May 2020
TensorFlow Quantum: A Software Framework for Quantum Machine Learning Michael Broughton Guillaume Verdon Trevor McCourt Antonio J. Martinez Jae Hyeon Yoo ... Sergio Boixo Dave Bacon Alan K. Ho Hartmut Neven Masoud Mohseni VLM AI4CE 27 205 0 06 Mar 2020
Predicting Many Properties of a Quantum System from Very Few Measurements Hsin-Yuan Huang R. Kueng J. Preskill 31 1,092 0 18 Feb 2020
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm Guillaume Verdon Jacob A. Marks Sasha Nanda Stefan Leichenauer Jack Hidary DRL 33 98 0 04 Oct 2019
Stochastic gradient descent for hybrid quantum-classical optimization R. Sweke Frederik Wilde Johannes Jakob Meyer Maria Schuld Paul K. Fährmann Barthélémy Meynard-Piganeau Jens Eisert 32 236 0 02 Oct 2019
Optimizing quantum heuristics with meta-learning M. Wilson Rachel Stromswold Filip Wudarski Stuart Hadfield N. Tubman E. Rieffel 26 74 0 08 Aug 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 282 5,664 0 25 Jul 2019
Learning to learn with quantum neural networks via classical neural networks Guillaume Verdon Michael Broughton Jarrod R. McClean Kevin J Sung Ryan Babbush Zhang Jiang Hartmut Neven Masoud Mohseni 27 196 0 11 Jul 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 57 881 0 18 Jun 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 34 156 0 03 Apr 2019
Differentiable Learning of Quantum Circuit Born Machine Jin-Guo Liu Lei Wang 69 230 0 11 Apr 2018
Barren plateaus in quantum neural network training landscapes Jarrod R. McClean Sergio Boixo V. Smelyanskiy Ryan Babbush Hartmut Neven 54 1,800 0 29 Mar 2018
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines Song Cheng J. Chen Lei Wang 49 102 0 12 Dec 2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 99 1,755 0 05 Dec 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 422 129,831 0 12 Jun 2017
Generative Image Modeling Using Spatial LSTMs Lucas Theis Matthias Bethge GAN VLM 36 200 0 10 Jun 2015
Distributed Gaussian Processes M. Deisenroth Jun Wei Ng GP 43 341 0 10 Feb 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 266 20,467 0 10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 371 27,205 0 01 Sep 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 165 16,311 0 30 Apr 2014
Learning Factored Representations in a Deep Mixture of Experts David Eigen MarcÁurelio Ranzato Ilya Sutskever MoE 58 372 0 16 Dec 2013