Connecting ansatz expressibility to gradient magnitudes and barren plateaus

6 January 2021

Zoë Holmes

Papers citing "Connecting ansatz expressibility to gradient magnitudes and barren plateaus"

50 / 118 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
The effect of the number of parameters and the number of local feature patches on loss landscapes in distributed quantum neural networks Yoshiaki Kawase 73 0 0 27 Apr 2025
Inductive Graph Representation Learning with Quantum Graph Neural Networks Arthur M. Faria Ignacio F. Graña Savvas Varsamopoulos GNN 62 0 0 31 Mar 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
Enhancing Circuit Trainability with Selective Gate Activation Strategy Jeihee Cho Junyong Lee Daniel Justice Shiho Kim 39 0 0 17 Mar 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 52 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 48 0 0 17 Feb 2025
Quantum automated learning with provable and explainable trainability Qi Ye Shuangyue Geng Zizhao Han Weikang Li L. Duan D. Deng 38 0 0 07 Feb 2025
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise Bikram Khanal Pablo Rivas 82 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
Fourier Analysis of Variational Quantum Circuits for Supervised Learning Marco Wiedmann Maniraman Periyasamy Daniel D. Scherer 34 0 0 05 Nov 2024
Expressivity of deterministic quantum computation with one qubit Yujin Kim Daniel K. Park 29 0 0 05 Nov 2024
Quantum Boltzmann machine learning of ground-state energies Dhrumil Patel Daniel Koch Saahil Patel Mark M. Wilde 31 7 0 16 Oct 2024
Integrated Encoding and Quantization to Enhance Quanvolutional Neural Networks Daniele Lizzio Bosco Beatrice Portelli Giuseppe Serra 31 0 0 08 Oct 2024
Resource-efficient equivariant quantum convolutional neural networks Koki Chinzei Quoc Hoan Tran Yasuhiro Endo Hirotaka Oshima 26 1 0 02 Oct 2024
Satellite image classification with neural quantum kernels Pablo Rodriguez-Grasa Robert Farzan-Rodriguez Gabriele Novelli Yue Ban Mikel Sanz 26 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 26 2 0 11 Sep 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 34 0 0 12 Aug 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 32 4 0 25 Jul 2024
In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods Artur Miroszewski M. F. Asiani Jakub Mielczarek B. L. Saux Jakub Nalepa 34 3 0 22 Jul 2024
Exploiting the equivalence between quantum neural networks and perceptrons Chris Mingard Jessica Pointing Charles London Yoonsoo Nam Ard A. Louis 32 2 0 05 Jul 2024
Graph Neural Networks on Quantum Computers Yidong Liao Xiao-Ming Zhang Chris Ferrie GNN 35 4 0 27 May 2024
Quantum Neural Networks for Solving Power System Transient Simulation Problem Mohammadreza Soltaninia Junpeng Zhan 18 0 0 19 May 2024
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation Shammi Aktar Andreas Bartschi Diane Oyen S. Eidenbenz Abdel-Hameed A. Badawy 18 2 0 13 May 2024
Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization Georg Kruse Rodrigo Coehlo A. Rosskopf Robert Wille Jeanette Miriam Lorenz 25 1 0 13 May 2024
Quantum AI for Alzheimer's disease early screening Giacomo Cappiello Filippo Caruso 19 1 0 01 May 2024
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification Skylar Chan Pranav Kulkarni P. Yi Vishwa S. Parekh 26 0 0 30 Apr 2024
Permutation-equivariant quantum convolutional neural networks Sreetama Das Filippo Caruso 41 2 0 28 Apr 2024
Variational Optimization for Quantum Problems using Deep Generative Networks Lingxia Zhang Xiaodie Lin Peidong Wang Kaiyan Yang Xiao Zeng Zhaohui Wei Zizhu Wang 32 1 0 28 Apr 2024
Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting Sandra Leticia Juárez-Osorio Mayra Alejandra Rivera-Ruiz Andres Mendez-Vazquez Eduardo Rodriguez-Tello AI4TS 14 0 0 23 Apr 2024
Variational quantum simulation: a case study for understanding warm starts Ricard Puig-i-Valls Marc Drudis Supanut Thanasilp Zoë Holmes 34 20 0 15 Apr 2024
Layered Uploading for Quantum Convolutional Neural Networks Grégoire Barrué Tony Quertier Orlane Zang 89 0 0 15 Apr 2024
Traitement quantique des langues : {é}tat de lárt S. Campano T. Nabil Meryl Bothua 31 0 0 09 Apr 2024
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension Changwon Lee Israel F. Araujo Dongha Kim Junghan Lee Siheon Park Ju-Young Ryu Daniel K. Park 24 1 0 28 Mar 2024
On Optimizing Hyperparameters for Quantum Neural Networks Sabrina Herbst Vincenzo De Maio Ivona Brandić 31 2 0 27 Mar 2024
Qubit-Wise Architecture Search Method for Variational Quantum Circuits Jialin Chen Zhiqiang Cai Ke Xu Di Wu Wei Cao 21 1 0 07 Mar 2024
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning Eric R. Anschuetz Xun Gao 40 4 0 13 Feb 2024
Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration Lucas Friedrich Jonas Maziero 31 4 0 08 Feb 2024
VQC-Based Reinforcement Learning with Data Re-uploading: Performance and Trainability Rodrigo Coelho André Sequeira Luis Paulo Santos 34 8 0 21 Jan 2024
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance Yunfei Wang Junyu Liu 33 26 0 21 Jan 2024
Learning shallow quantum circuits Hsin-Yuan Huang Yunchao Liu Michael Broughton Isaac Kim Anurag Anshu Zeph Landau Jarrod R. McClean 30 26 0 18 Jan 2024
On fundamental aspects of quantum extreme learning machines Weijie Xiong Giorgio Facelli Mehrad Sahebi Owen Agnel Thiparat Chotibut Supanut Thanasilp Zoë Holmes 24 22 0 23 Dec 2023
The role of data embedding in equivariant quantum convolutional neural networks Sreetama Das Stefano Martina Filippo Caruso 19 5 0 20 Dec 2023
Machine Learning for Anomaly Detection in Particle Physics Vasilis Belis Patrick Odagiu Thea Klæboe Årrestad 30 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 38 128 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
Maximising Quantum-Computing Expressive Power through Randomised Circuits Yingli Yang Zongkang Zhang Anbang Wang Xiaosi Xu Xiaoting Wang Ying Li 16 3 0 04 Dec 2023
Towards Transparency in Coreference Resolution: A Quantum-Inspired Approach Hadi Wazni M. Sadrzadeh 29 2 0 01 Dec 2023
Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits H. Gharibyan Vincent Su Hayk H. Tepanyan 40 1 0 21 Nov 2023
Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars Akash Sinha A. Macaluso Matthias Klusch 42 4 0 20 Nov 2023