Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits

20 February 2025

Papers citing "Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits"

23 / 23 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 21 May 2025
Quantum Autoencoder for Multivariate Time Series Anomaly Detection Kilian Tscharke Maximilian Wendlinger Afrae Ahouzi Pallavi Bhardwaj Kaweh Amoi-Taleghani Michael Schrödl-Baumann Pascal Debus 24 0 0 24 Apr 2025
The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Yuqing Li Jinglei Cheng Xulong Tang Youtao Zhang Frederic T. Chong Junyu Liu 66 0 0 16 Dec 2024
Quantum Circuit Training with Growth-Based Architectures Callum Duffy Smit Chaudhary Gergana V. Velikova 68 0 0 25 Nov 2024
Expressivity of deterministic quantum computation with one qubit Yujin Kim Daniel K. Park 31 0 0 05 Nov 2024
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks Andrea Ceschini Francesco Mauro Francesca De Falco A. Sebastianelli A. Verdone A. Rosato Bertrand Le Saux Massimo Panella Paolo Gamba Silvia Liberata Ullo GNN AI4CE 36 0 0 12 Aug 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 36 4 0 25 Jul 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
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning Michael Kölle Timo Witter Tobias Rohe Gerhard Stenzel Philipp Altmann Thomas Gabor 28 2 0 20 May 2024
Improving Trainability of Variational Quantum Circuits via Regularization Strategies Jun Zhuang Jack Cunningham Chaowen Guan 35 4 0 02 May 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
VQC-Based Reinforcement Learning with Data Re-uploading: Performance and Trainability Rodrigo Coelho André Sequeira Luis Paulo Santos 37 9 0 21 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 43 128 0 14 Dec 2023
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly Jonas Stein Navid Roshani Maximilian Zorn Philipp Altmann Michael Kolle Claudia Linnhoff-Popien 19 1 0 09 Dec 2023
Toward Automated Quantum Variational Machine Learning Omer Subasi 23 2 0 04 Dec 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks Hao Zhang Chenghong Zhu M. Jing Xin Wang 26 4 0 26 Sep 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 26 25 0 29 Mar 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 41 22 0 29 Dec 2022
A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers Xuchen You Shouvanik Chakrabarti Xiaodi Wu 55 34 0 25 May 2022
Exponentially Many Local Minima in Quantum Neural Networks Xuchen You Xiaodi Wu 72 51 0 06 Oct 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 143 423 0 06 Jan 2021
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 138 655 0 28 Jul 2020