The effect of data encoding on the expressive power of variational quantum machine learning models

19 August 2020

Maria Schuld

Papers citing "The effect of data encoding on the expressive power of variational quantum machine learning models"

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Title
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting Chen-Yu Liu Kuan-Cheng Chen Yi-Chien Chen Samuel Yen-Chi Chen Wei-Hao Huang Wei-Jia Huang Yen-Jui Chang 19 0 0 14 May 2025
Hybrid Quantum Recurrent Neural Network For Remaining Useful Life Prediction Olga Tsurkan Aleksandra Konstantinova Aleksandr Sedykh Dmitrii Zhiganov Arsenii Senokosov Daniil Tarpanov Matvei Anoshin Leonid Fedichkin 29 0 0 29 Apr 2025
QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Hongni Jin Gurinder Singh Kenneth M. Merz Jr 41 0 0 26 Apr 2025
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs Afrah Farea Saiful Khan Mustafa Serdar Celebi PINN 61 0 0 20 Mar 2025
On the similarity of bandwidth-tuned quantum kernels and classical kernels Roberto Flórez Ablan M. Roth Jan Schnabel 60 2 0 07 Mar 2025
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks Sabrina Herbst S. S. Cranganore Vincenzo De Maio Ivona Brandić 50 0 0 17 Feb 2025
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting Nikolaos Schetakis Paolo Bonfini Negin Alisoltani Konstantinos Blazakis Symeon I. Tsintzos Alexis Askitopoulos Davit Aghamalyan Panagiotis Fafoutellis Eleni I. Vlahogianni 41 0 0 22 Jan 2025
Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency Lorenzo Bergadano Andrea Ceschini Pietro Chiavassa E. Giusto B. Montrucchio Massimo Panella A. Rosato 20 0 0 03 Oct 2024
Satellite image classification with neural quantum kernels Pablo Rodriguez-Grasa Robert Farzan-Rodriguez Gabriele Novelli Yue Ban Mikel Sanz 31 0 0 30 Sep 2024
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey Bikram Khanal Pablo Rivas Arun Sanjel Korn Sooksatra Ernesto Quevedo Alejandro Rodriguez 28 2 0 11 Sep 2024
Quantum Kernel Methods under Scrutiny: A Benchmarking Study Jan Schnabel M. Roth 62 3 0 06 Sep 2024
Certifiably Robust Encoding Schemes Aman Saxena Tom Wollschlager Nicola Franco J. M. Lorenz Stephan Günnemann OOD AAML 40 1 0 02 Aug 2024
On the relation between trainability and dequantization of variational quantum learning models Elies Gil-Fuster Casper Gyurik Adrián Pérez-Salinas Vedran Dunjko 34 10 0 11 Jun 2024
Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset Alona Sakhnenko Julian Sikora J. M. Lorenz 39 0 0 10 Jun 2024
Quantum Implicit Neural Representations Jiaming Zhao Wenbo Qiao Peng Zhang Hui Gao 55 3 0 06 Jun 2024
Reinforcement learning-based architecture search for quantum machine learning Frederic Rapp D. Kreplin Marco F. Huber M. Roth AI4CE 34 5 0 04 Jun 2024
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning Michael Kölle Timo Witter Tobias Rohe Gerhard Stenzel Philipp Altmann Thomas Gabor 26 2 0 20 May 2024
On Optimizing Hyperparameters for Quantum Neural Networks Sabrina Herbst Vincenzo De Maio Ivona Brandić 35 2 0 27 Mar 2024
Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration Lucas Friedrich Jonas Maziero 33 4 0 08 Feb 2024
Photovoltaic power forecasting using quantum machine learning Asel Sagingalieva Stefan Komornyik Arsenii Senokosov Ayush Joshi Alexander Sedykh Christopher Mansell Olga Tsurkan 47 8 0 27 Dec 2023
sQUlearn -- A Python Library for Quantum Machine Learning D. Kreplin Moritz Willmann Jan Schnabel Frederic Rapp Manuel Hagelüken M. Roth GP 30 9 0 15 Nov 2023
Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction José Daniel Viqueira Daniel Faílde M. M. Juane Andrés Gómez David Mera 28 5 0 31 Oct 2023
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 32 16 0 25 Sep 2023
Potential and limitations of random Fourier features for dequantizing quantum machine learning R. Sweke Erik Recio Sofiene Jerbi Elies Gil-Fuster Bryce Fuller Jens Eisert Johannes Jakob Meyer 22 12 0 20 Sep 2023
Quantum Neural Network for Quantum Neural Computing Min-Gang Zhou Zhi-Ping Liu Hua‐Lei Yin Chen-Long Li Tong Xu Zeng-Bing Chen 11 39 0 15 May 2023
Biomarker Discovery with Quantum Neural Networks: A Case-study in CTLA4-Activation Pathways Nam D. Nguyen 21 13 0 15 May 2023
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning Sangwoo Park Osvaldo Simeone 24 9 0 06 Apr 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 24 18 0 22 Jan 2023
The quantum cost function concentration dependency on the parametrization expressivity Lucas Friedrich Jonas Maziero 32 14 0 17 Jan 2023
Restricting to the chip architecture maintains the quantum neural network accuracy Lucas Friedrich Jonas Maziero 32 3 0 29 Dec 2022
Expressibility-Enhancing Strategies for Quantum Neural Networks Y. Liao Junpeng Zhan 18 6 0 23 Nov 2022
Towards Quantum-Enabled 6G Slicing Farhad Rezazadeh Sarang Kahvazadeh M. Mosahebfard AI4CE 17 0 0 21 Oct 2022
Deep tensor networks with matrix product operators Bojan Žunkovič 69 4 0 16 Sep 2022
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits Lidong Ding Lee Spector 21 15 0 23 Aug 2022
On establishing learning separations between classical and quantum machine learning with classical data Casper Gyurik Vedran Dunjko 31 15 0 12 Aug 2022
Rapid training of quantum recurrent neural networks M. Siemaszko A. Buraczewski Bertrand Le Saux Magdalena Stobiñska 18 9 0 01 Jul 2022
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets Charles Moussa Jan N. van Rijn Thomas Bäck Vedran Dunjko 24 12 0 20 Jun 2022
Overfitting in quantum machine learning and entangling dropout Masahiro Kobayashi Kouhei Nakaji N. Yamamoto 13 30 0 23 May 2022
Evolution strategies: Application in hybrid quantum-classical neural networks Lucas Friedrich Jonas Maziero 21 8 0 17 May 2022
Power and limitations of single-qubit native quantum neural networks Zhan Yu Hong Yao Mujin Li Xin Wang 42 36 0 16 May 2022
Hybrid quantum ResNet for car classification and its hyperparameter optimization Asel Sagingalieva Mohammad Kordzanganeh Andrii Kurkin Artem Melnikov Daniil Kuhmistrov M. Perelshtein A. Melnikov Andrea Skolik David Von Dollen 50 36 0 10 May 2022
Quantum neural network autoencoder and classifier applied to an industrial case study Stefano Mangini A. Marruzzo M. Piantanida D. Gerace D. Bajoni C. Macchiavello AI4CE 25 16 0 09 May 2022
Incremental Data-Uploading for Full-Quantum Classification Maniraman Periyasamy Nico Meyer Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler AI4CE 29 16 0 06 May 2022
A walk through of time series analysis on quantum computers Ammar Daskin 11 5 0 02 May 2022
Compositional optimization of quantum circuits for quantum kernels of support vector machines E. Torabian R. Krems 11 10 0 25 Mar 2022
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
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms Armando Angrisani Mina Doosti E. Kashefi 16 12 0 07 Mar 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks Maja Franz Lucas Wolf Maniraman Periyasamy Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler Wolfgang Mauerer 24 29 0 10 Feb 2022
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 36 8 0 10 Dec 2021