Variational Quantum Algorithms

16 December 2020

Jarrod R. McClean

Papers citing "Variational Quantum Algorithms"

50 / 157 papers shown

Title
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles Junghoon Justin Park Jiook Cha Samuel Yen-Chi Chen H. Tseng Shinjae Yoo 29 0 0 13 May 2025
Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing Kuan-Cheng Chen Chen-Yu Liu Yu Shang Felix Burt Kin K Leung 39 0 0 13 May 2025
Quantum thermodynamics and semi-definite optimization Nana Liu Michele Minervini Dhrumil Patel Mark M. Wilde 19 0 0 07 May 2025
TunnElQNN: A Hybrid Quantum-classical Neural Network for Efficient Learning A. H. Abbas 27 0 0 02 May 2025
Learning to Learn with Quantum Optimization via Quantum Neural Networks Kuan-Cheng Chen Hiromichi Matsuyama Wei-Hao Huang 32 1 0 01 May 2025
The effect of the number of parameters and the number of local feature patches on loss landscapes in distributed quantum neural networks Yoshiaki Kawase 76 0 0 27 Apr 2025
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 51 0 0 17 Apr 2025
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs Afrah Farea Saiful Khan Mustafa Serdar Celebi PINN 64 0 0 20 Mar 2025
Causal Discovery from Data Assisted by Large Language Models Kamyar Barakati Alexander Molak Chris Nelson Xiaohang Zhang Ichiro Takeuchi Sergei V. Kalinin 48 0 0 18 Mar 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 62 60 0 20 Feb 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
Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search Vincenzo Lipardi Domenica Dibenedetto Georgios Stamoulis Mark H.M. Winands 121 0 0 06 Feb 2025
Benchmarking Quantum Convolutional Neural Networks for Signal Classification in Simulated Gamma-Ray Burst Detection Farida Farsian Nicolò Parmiggiani Alessandro Rizzo Gabriele Panebianco Andrea Bulgarelli ... Giuseppe Murante Giuseppe Sarracino Roberto Scaramella Vincenzo Testa Tiziana Trombetti 59 0 0 28 Jan 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 46 0 0 22 Jan 2025
Mixed-State Quantum Denoising Diffusion Probabilistic Model Gino Kwun Bingzhi Zhang Quntao Zhuang DiffM 91 1 0 26 Nov 2024
A Universal Quantum Computer From Relativistic Motion Philip A. LeMaitre T. Rick Perche Marius Krumm H. Briegel 45 0 0 31 Oct 2024
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 23 0 0 03 Oct 2024
IBM Quantum Computers: Evolution, Performance, and Future Directions M. AbuGhanem 26 6 0 17 Sep 2024
Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs F. Schiavello Edoardo Altamura I. Tavernelli Stefano Mensa Benjamin C. B. Symons 39 1 0 16 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
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition Kuan-Cheng Chen Wenxuan Ma Xiaotian Xu 40 7 0 09 Sep 2024
Distributed and Secure Kernel-Based Quantum Machine Learning Arjhun Swaminathan Mete Akgun 35 0 0 16 Aug 2024
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks Koki Chinzei Shinichiro Yamano Quoc-Hoan Tran Yasuhiro Endo H. Oshima 60 2 0 26 Jun 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
Quantum Architecture Search: A Survey Darya Martyniuk Johannes Jung Adrian Paschke AI4CE 36 7 0 10 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
Variational quantum simulation: a case study for understanding warm starts Ricard Puig-i-Valls Marc Drudis Supanut Thanasilp Zoë Holmes 44 20 0 15 Apr 2024
On Optimizing Hyperparameters for Quantum Neural Networks Sabrina Herbst Vincenzo De Maio Ivona Brandić 38 2 0 27 Mar 2024
Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations Yin Mo Lei Zhang Yuanyi Chen Yingjian Liu Tengxiang Lin Xin Wang 45 2 0 06 Mar 2024
Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration Lucas Friedrich Jonas Maziero 39 4 0 08 Feb 2024
Quantum Circuit Reconstruction from Power Side-Channel Attacks on Quantum Computer Controllers Ferhat Erata Chuan Xu R. Piskac Jakub Szefer 31 10 0 29 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 46 128 0 14 Dec 2023
A Novel Image Classification Framework Based on Variational Quantum Algorithms Yixiong Chen 32 3 0 13 Dec 2023
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation Mohammad Junayed Hasan M.R.C. Mahdy 29 1 0 23 Nov 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
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead Kamila Zaman Alberto Marchisio Muhammad Abdullah Hanif Muhammad Shafique 31 25 0 16 Oct 2023
Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems Lucas Tecot Cho-Jui Hsieh 19 0 0 14 Oct 2023
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers Daniel Silver Tirthak Patel Aditya Ranjan Harshitta Gandhi William Cutler Devesh Tiwari 32 4 0 26 Sep 2023
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 35 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 30 12 0 20 Sep 2023
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning Yize Sun Yunpu Ma Volker Tresp 28 10 0 19 Sep 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 28 2 0 28 Aug 2023
ShadowNet for Data-Centric Quantum System Learning Yuxuan Du Yibo Yang Tongliang Liu Zhouchen Lin Guohao Li Dacheng Tao 42 6 0 22 Aug 2023
Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances Gloria Turati Maurizio Ferrari Dacrema Paolo Cremonesi 19 3 0 03 Aug 2023
Computing the gradients with respect to all parameters of a quantum neural network using a single circuit Guanglei He 39 1 0 16 Jul 2023
Quantum Neural Estimation of Entropies Ziv Goldfeld Dhrumil Patel Sreejith Sreekumar Mark M. Wilde 35 9 0 03 Jul 2023
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era Leonardo Placidi Ryuichiro Hataya Toshio Mori Koki Aoyama Hayata Morisaki K. Mitarai Keisuke Fujii 21 8 0 29 Jun 2023
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 35 45 0 23 Jun 2023
Decentralized Quantum Federated Learning for Metaverse: Analysis, Design and Implementation Devya Gurung Shiva Raj Pokhrel Gang Li 35 5 0 20 Jun 2023