Generalization in quantum machine learning from few training data

9 November 2021

Papers citing "Generalization in quantum machine learning from few training data"

50 / 143 papers shown

Title
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis Petros Georgiou Sharu Theresa Jose Osvaldo Simeone AAML 30 4 0 31 Jan 2024
Learning shallow quantum circuits Hsin-Yuan Huang Yunchao Liu Michael Broughton Isaac Kim Anurag Anshu Zeph Landau Jarrod R. McClean 37 27 0 18 Jan 2024
Federated Quantum Long Short-term Memory (FedQLSTM) Mahdi Chehimi Samuel Yen-Chi Chen Walid Saad Shinjae Yoo FedML 42 16 0 21 Dec 2023
The role of data embedding in equivariant quantum convolutional neural networks Sreetama Das Stefano Martina Filippo Caruso 32 5 0 20 Dec 2023
Machine Learning for Anomaly Detection in Particle Physics Vasilis Belis Patrick Odagiu Thea Klæboe Årrestad 35 40 0 20 Dec 2023
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 51 128 0 14 Dec 2023
Impact of Data Augmentation on QCNNs Leting Zhouli Peiyong Wang P. Udaya 20 0 0 01 Dec 2023
sQUlearn -- A Python Library for Quantum Machine Learning D. Kreplin Moritz Willmann Jan Schnabel Frederic Rapp Manuel Hagelüken M. Roth GP 40 10 0 15 Nov 2023
Expressibility-induced Concentration of Quantum Neural Tangent Kernels Li-Wei Yu Weikang Li Qi Ye Zhide Lu Zizhao Han Dong-Ling Deng 40 7 0 08 Nov 2023
Quantum Federated Learning With Quantum Networks Tyler Wang Huan-Hsin Tseng Shinjae Yoo 31 6 0 23 Oct 2023
Federated Quantum Machine Learning with Differential Privacy Rod Rofougaran Shinjae Yoo Huan-Hsin Tseng Samuel Yen-Chi Chen FedML 28 20 0 10 Oct 2023
Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images Su Yeon Chang Michele Grossi B. L. Saux S. Vallecorsa 56 13 0 03 Oct 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks Hao Zhang Chenghong Zhu M. Jing Xin Wang 31 4 0 26 Sep 2023
Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm Till Muser Elias Zapusek Vasilis Belis Florentin Reiter 36 5 0 25 Sep 2023
Statistical Complexity of Quantum Learning L. Banchi Jason Luke Pereira Sharu Theresa Jose Osvaldo Simeone 42 12 0 20 Sep 2023
Coreset selection can accelerate quantum machine learning models with provable generalization Yiming Huang Huiyuan Wang Yuxuan Du Xiao Yuan 56 1 0 19 Sep 2023
Efficient quantum recurrent reinforcement learning via quantum reservoir computing Samuel Yen-Chi Chen 41 13 0 13 Sep 2023
What can we learn from quantum convolutional neural networks? Chukwudubem Umeano Annie E. Paine V. Elfving Oleksandr Kyriienko 38 12 0 31 Aug 2023
Application of Quantum Pre-Processing Filter for Binary Image Classification with Small Samples Farina Riaz Shahab A. Abdulla Hajime Suzuki Srinjoy Ganguly R. Deo Susan Hopkins 46 2 0 28 Aug 2023
Fat Shattering, Joint Measurability, and PAC Learnability of POVM Hypothesis Classes Abram Magner Arun Padakandla 20 0 0 21 Aug 2023
Toward Quantum Machine Translation of Syntactically Distinct Languages M. Abbaszade Mariam Zomorodi V. Salari Philip Kurian 14 3 0 31 Jul 2023
DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms Satwik Kundu Debarshi Kundu Swaroop Ghosh 49 0 0 23 Jul 2023
Applying QNLP to sentiment analysis in finance Jonas Stein Ivo Christ Nico Kraus M. Mansky Robert Muller Claudia Linnhoff-Popien 30 21 0 20 Jul 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications Yaswitha Gujju A. Matsuo Raymond H. Putra 25 24 0 03 Jul 2023
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 43 44 0 23 Jun 2023
Towards quantum enhanced adversarial robustness in machine learning Maxwell T. West S. Tsang J. S. Low C. Hill C. Leckie Lloyd C. L. Hollenberg S. Erfani Muhammad Usman AAML OOD 18 53 0 22 Jun 2023
Classical Verification of Quantum Learning Matthias C. Caro M. Hinsche M. Ioannou A. Nietner R. Sweke 22 5 0 08 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning Xinbiao Wang Yuxuan Du Zhuozhuo Tu Yong Luo Xiao Yuan Dacheng Tao 53 8 0 06 Jun 2023
Reduction of finite sampling noise in quantum neural networks D. Kreplin Marco Roth 39 16 0 02 Jun 2023
A survey on the complexity of learning quantum states Anurag Anshu Srinivasan Arunachalam 34 67 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 47 39 0 22 May 2023
Classical-to-Quantum Transfer Learning Facilitates Machine Learning with Variational Quantum Circuit Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh Hector Zenil Jesper Tegner 36 0 0 18 May 2023
Quantum Machine Learning for Malware Classification Grégoire Barrué Tony Quertier 86 2 0 09 May 2023
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading Maniraman Periyasamy Marc Hölle Marco Wiedmann Daniel D. Scherer Axel Plinge Christopher Mutschler OffRL 49 6 0 27 Apr 2023
Shot Optimization in Quantum Machine Learning Architectures to Accelerate Training Koustubh Phalak Swaroop Ghosh 39 5 0 21 Apr 2023
Application of quantum-inspired generative models to small molecular datasets Charles Moussa H. Wang Mauricio Araya-Polo T. Bäck Vedran Dunjko 29 5 0 21 Apr 2023
Conditional Generative Models for Learning Stochastic Processes Salvatore Certo Anh Pham Nicolas Robles Andrew Vlasic GAN 24 4 0 19 Apr 2023
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning Sangwoo Park Osvaldo Simeone 29 9 0 06 Apr 2023
Quantum Imitation Learning Zhihao Cheng Kaining Zhang Li Shen Dacheng Tao 19 1 0 04 Apr 2023
The power and limitations of learning quantum dynamics incoherently Sofiene Jerbi Joe Gibbs Manuel S. Rudolph Matthias C. Caro Patrick J. Coles Hsin-Yuan Huang Zoë Holmes 34 14 0 22 Mar 2023
Tensor networks for quantum machine learning Hans-Martin Rieser Frank Köster A. Raulf 22 21 0 21 Mar 2023
Challenges and Opportunities in Quantum Machine Learning M. Cerezo Guillaume Verdon Hsin-Yuan Huang L. Cincio Patrick J. Coles VLM 24 406 0 16 Mar 2023
Parallel Hybrid Networks: an interplay between quantum and classical neural networks Mohammad Kordzanganeh Daria Kosichkina A. Melnikov GNN 47 22 0 06 Mar 2023
Error mitigation of entangled states using brainbox quantum autoencoders Joséphine Pazem M. Ansari 38 3 0 02 Mar 2023
Quantum algorithms applied to satellite mission planning for Earth observation S. Rainjonneau Igor Tokarev S. Iudin Saaketh Rayaprolu Karan Pinto ... Miras Koblan Egor Barashov Mohammad Kordzanganeh M. Pflitsch A. Melnikov 25 37 0 14 Feb 2023
Quantum contextual bandits and recommender systems for quantum data Shrigyan Brahmachari Josep Lumbreras Marco Tomamichel 37 3 0 31 Jan 2023
Quantum anomaly detection in the latent space of proton collision events at the LHC Kinga Anna Wo'zniak Vasilis Belis E. Puljak Panagiotis Kl Barkoutsos Günther Dissertori Michele Grossi M. Pierini F. Reiter I. Tavernelli S. Vallecorsa 29 36 0 25 Jan 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 29 18 0 22 Jan 2023
Optimal lower bounds for Quantum Learning via Information Theory Shima Bab Hadiashar A. Nayak Pulkit Sinha 17 4 0 05 Jan 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 48 23 0 29 Dec 2022