Barren plateaus in quantum neural network training landscapes

29 March 2018

Jarrod R. McClean

Sergio Boixo

V. Smelyanskiy

Ryan Babbush

Hartmut Neven

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Papers citing "Barren plateaus in quantum neural network training landscapes"

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Title
Role of scrambling and noise in temporal information processing with quantum systems Weijie Xiong Zoë Holmes Armando Angrisani Yudai Suzuki Thiparat Chotibut Supanut Thanasilp 14 1 0 15 May 2025
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
Quantum RNNs and LSTMs Through Entangling and Disentangling Power of Unitary Transformations Ammar Daskin 21 0 0 10 May 2025
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems Ibne Farabi Shihab Sanjeda Akter Anuj Sharma 41 0 0 06 May 2025
QFDNN: A Resource-Efficient Variational Quantum Feature Deep Neural Networks for Fraud Detection and Loan Prediction Subham Das Ashtakala Meghanath Bikash K. Behera Shahid Mumtaz Saif Al-Kuwari Ahmed Farouk 21 0 0 28 Apr 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
On the Generalization of Adversarially Trained Quantum Classifiers Petros Georgiou Aaron Mark Thomas Sharu Theresa Jose Osvaldo Simeone AAML 29 0 0 24 Apr 2025
Quantum Doubly Stochastic Transformers Jannis Born Filip Skogh Kahn Rhrissorrakrai Filippo Utro Nico Wagner Aleksandros Sobczyk 27 0 0 22 Apr 2025
Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks Keisuke Murota Takumi Kobori 27 0 0 21 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
Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach Kien X. Nguyen Bao Bach Ilya Safro 23 0 0 14 Apr 2025
Automating quantum feature map design via large language models Kenya Sakka K. Mitarai Keisuke Fujii 33 2 0 10 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
Enhancing variational quantum algorithms by balancing training on classical and quantum hardware Rahul Bhowmick Harsh Wadhwa Avinash Singh Tania Sidana Quoc Hoan Tran Krishna Kumar Sabapathy 61 0 0 20 Mar 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
Enhancing Circuit Trainability with Selective Gate Activation Strategy Jeihee Cho Junyong Lee Daniel Justice Shiho Kim 41 0 0 17 Mar 2025
Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification Rajiv Krishnakumar Julien Baglio Frederik F. Flöther Christian Ruiz Stefan Habringer Nicole H. Romano MedIm 44 0 0 13 Mar 2025
A quantum annealing approach to graph node embedding Hristo N. Djidjev GNN 36 0 0 08 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
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 59 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 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
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
Variational decision diagrams for quantum-inspired machine learning applications Santiago Acevedo-Mancera Vladimir Vargas-Calderón Herbert Vinck-Posada 57 0 0 06 Feb 2025
Stability and Generalization of Quantum Neural Networks Jiaqi Yang Wei Xie Xiaohua Xu 38 1 0 22 Jan 2025
Investigating layer-selective transfer learning of QAOA parameters for Max-Cut problem Francesco Aldo Venturelli Sreetama Das Filippo Caruso 27 2 0 31 Dec 2024
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise Bikram Khanal Pablo Rivas 87 0 0 16 Dec 2024
Mixed-State Quantum Denoising Diffusion Probabilistic Model Gino Kwun Bingzhi Zhang Quntao Zhuang DiffM 89 1 0 26 Nov 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 29 0 0 05 Nov 2024
Quantum Deep Equilibrium Models Philipp Schleich Marta Skreta L. B. Kristensen Rodrigo A. Vargas-Hernández Alán Aspuru-Guzik 30 0 0 31 Oct 2024
Quantum Boltzmann machine learning of ground-state energies Dhrumil Patel Daniel Koch Saahil Patel Mark M. Wilde 36 7 0 16 Oct 2024
Applying Quantum Autoencoders for Time Series Anomaly Detection Robin Frehner Kurt Stockinger AI4TS 22 0 0 05 Oct 2024
Quantum-data-driven dynamical transition in quantum learning Bingzhi Zhang Junyu Liu Liang Jiang Quntao Zhuang 29 1 0 02 Oct 2024
Resource-efficient equivariant quantum convolutional neural networks Koki Chinzei Quoc Hoan Tran Yasuhiro Endo Hirotaka Oshima 29 1 0 02 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
Exact gradients for linear optics with single photons Giorgio Facelli David D. Roberts Hugo Wallner Alexander Makarovskiy Zoë Holmes William R. Clements 27 4 0 24 Sep 2024
Scalable quantum dynamics compilation via quantum machine learning Yuxuan Zhang R. Wiersema Juan Carrasquilla Lukasz Cincio Yong Baek Kim 34 2 0 24 Sep 2024
Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA Lorenzo Borella Alberto Coppi J. Pazzini Andrea Stanco Marco Trenti Andrea Triossi M. Zanetti 41 1 0 24 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
Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics Osama Ahmed Felix Tennie Luca Magri 18 2 0 02 Sep 2024
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits Yuxuan Du Min-hsiu Hsieh Dacheng Tao 39 2 0 22 Aug 2024
Security Concerns in Quantum Machine Learning as a Service Satwik Kundu Swaroop Ghosh 28 1 0 18 Aug 2024
Bee-yond the Plateau: Training QNNs with Swarm Algorithms Rubén Darío Guerrero 23 0 0 16 Aug 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
Hierarchical Quantum Control Gates for Functional MRI Understanding Xuan-Bac Nguyen Hoang-Quan Nguyen Hugh Churchill Samee U. Khan Khoa Luu 40 3 0 07 Aug 2024
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning Michael Kölle Daniel Seidl Maximilian Zorn Philipp Altmann Jonas Stein Thomas Gabor 15 0 0 02 Aug 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 36 4 0 25 Jul 2024
Quantum Supervised Learning A. Macaluso 43 3 0 24 Jul 2024