Quantum circuit architecture search for variational quantum algorithms

20 October 2020

Papers citing "Quantum circuit architecture search for variational quantum algorithms"

49 / 49 papers shown

Title
Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Chuangtao Chen Qinglin Zhao Mengchu Zhou Zhimin He Haozhen Situ DiffM 44 0 0 08 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
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
DeQompile: quantum circuit decompilation using genetic programming for explainable quantum architecture search Shubing Xie Aritra Sarkar Sebastian Feld 27 0 0 11 Apr 2025
Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search Vincenzo Lipardi Domenica Dibenedetto Georgios Stamoulis Mark H.M. Winands 117 0 0 06 Feb 2025
Quantum Circuit Training with Growth-Based Architectures Callum Duffy Smit Chaudhary Gergana V. Velikova 59 0 0 25 Nov 2024
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness Yang Qian Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 16 0 0 27 Sep 2024
Security Concerns in Quantum Machine Learning as a Service Satwik Kundu Swaroop Ghosh 23 1 0 18 Aug 2024
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning Xin Dai Tzu-Chieh Wei Shinjae Yoo Samuel Yen-Chi Chen 32 0 0 29 Jul 2024
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning Samuel Yen-Chi Chen 37 4 0 25 Jul 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 32 4 0 25 Jul 2024
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects Yan Ge Wu Wenjie Chen Yuheng Pan Kaisen Lu Xudong Zhou Zixiang Wang Yuhan Wang Ruocheng Yan Junchi 21 12 0 30 Jun 2024
KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search Akash Kundu Aritra Sarkar Abhishek Sadhu 40 29 0 25 Jun 2024
Quantum Architecture Search: A Survey Darya Martyniuk Johannes Jung Adrian Paschke AI4CE 24 6 0 10 Jun 2024
Improving Trainability of Variational Quantum Circuits via Regularization Strategies Jun Zhuang Jack Cunningham Chaowen Guan 22 4 0 02 May 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
Quantum Mixed-State Self-Attention Network Fu Chen Qinglin Zhao Li Feng Chuangtao Chen Yangbin Lin Jianhong Lin 26 5 0 05 Mar 2024
Curriculum reinforcement learning for quantum architecture search under hardware errors Yash J. Patel Akash Kundu M. Ostaszewski X. Bonet-Monroig Vedran Dunjko Onur Danaci 22 22 0 05 Feb 2024
Quantum Architecture Search with Unsupervised Representation Learning Yize Sun Zixin Wu Yunpu Ma Volker Tresp 17 7 0 21 Jan 2024
Neural auto-designer for enhanced quantum kernels Cong Lei Yuxuan Du Peng Mi Jun-chen Yu Tongliang Liu 13 5 0 20 Jan 2024
Élivágar: Efficient Quantum Circuit Search for Classification Sashwat Anagolum Narges Alavisamani Poulami Das Moinuddin K. Qureshi Eric Kessler Yunong Shi 26 13 0 17 Jan 2024
Quantum Transfer Learning for Acceptability Judgements Giuseppe Buonaiuto Raffaele Guarasci Aniello Minutolo G. De Pietro M. Esposito 29 7 0 15 Jan 2024
Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble Chuangtao Chen Qinglin Zhao Mengchu Zhou Zhimin He Zhili Sun Haozhen Situ 21 2 0 13 Jan 2024
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits Tianlong Chen Zhenyu (Allen) Zhang Hanrui Wang Jiaqi Gu Zi-Chen Li David Z. Pan Frederic T. Chong Song Han Zhangyang Wang 21 0 0 10 Jan 2024
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly Jonas Stein Navid Roshani Maximilian Zorn Philipp Altmann Michael Kolle Claudia Linnhoff-Popien 11 1 0 09 Dec 2023
Toward Automated Quantum Variational Machine Learning Omer Subasi 9 2 0 04 Dec 2023
QArchSearch: A Scalable Quantum Architecture Search Package Ankit Kulshrestha Danylo Lykov Ilya Safro Yuri Alexeev 14 2 0 11 Oct 2023
Coreset selection can accelerate quantum machine learning models with provable generalization Yiming Huang Huiyuan Wang Yuxuan Du Xiao Yuan 38 1 0 19 Sep 2023
ShadowNet for Data-Centric Quantum System Learning Yuxuan Du Yibo Yang Tongliang Liu Zhouchen Lin Bernard Ghanem Dacheng Tao 23 6 0 22 Aug 2023
Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances Gloria Turati Maurizio Ferrari Dacrema Paolo Cremonesi 6 3 0 03 Aug 2023
Computing the gradients with respect to all parameters of a quantum neural network using a single circuit Guanglei He 26 1 0 16 Jul 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications Yaswitha Gujju A. Matsuo Raymond H. Putra 13 22 0 03 Jul 2023
Enhancing variational quantum state diagonalization using reinforcement learning techniques Akash Kundu Przemyslaw Bedelek M. Ostaszewski Onur Danaci Yash J. Patel Vedran Dunjko Jaroslaw Adam Miszczak 22 8 0 19 Jun 2023
QTrojan: A Circuit Backdoor Against Quantum Neural Networks Cheng Chu Lei Jiang Martin Swany Fan Chen 16 8 0 16 Feb 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 18 17 0 22 Jan 2023
Restricting to the chip architecture maintains the quantum neural network accuracy Lucas Friedrich Jonas Maziero 21 3 0 29 Dec 2022
Review of Ansatz Designing Techniques for Variational Quantum Algorithms Junhan Qin 22 9 0 07 Dec 2022
Expressibility-Enhancing Strategies for Quantum Neural Networks Y. Liao Junpeng Zhan 15 6 0 23 Nov 2022
Hierarchical quantum circuit representations for neural architecture search Matt Lourens I. Sinayskiy D. Park Carsten Blank Francesco Petruccione 6 12 0 26 Oct 2022
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction Yan Qian Yuxuan Du Dacheng Tao 18 3 0 26 Sep 2022
Automatic and effective discovery of quantum kernels Massimiliano Incudini Daniele Lizzio Bosco F. Martini Michele Grossi Giuseppe Serra Alessandra Di Pierro 23 4 0 22 Sep 2022
Symmetric Pruning in Quantum Neural Networks Xinbiao Wang Junyu Liu Tongliang Liu Yong Luo Yuxuan Du Dacheng Tao 8 24 0 30 Aug 2022
NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithms Zhiding Liang Jinglei Cheng Hang Ren Hanrui Wang Fei Hua ... Yongshan Ding Fred Chong Song Han Xuehai Qian Yiyu Shi 14 18 0 02 Aug 2022
Federated Learning with Quantum Secure Aggregation Yichi Zhang Chao Zhang Cai Zhang Lixin Fan B. Zeng Qiang Yang FedML 11 23 0 09 Jul 2022
Automated Quantum Circuit Design with Nested Monte Carlo Tree Search Peiyue Wang M. Usman U. Parampalli Lloyd C. L. Hollenberg C. Myers 4 16 0 01 Jul 2022
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization Trong Duong Sang T. Truong Minh Tam B. Bach Juno Ryu J. Rhee 12 12 0 28 Jun 2022
Estimating the randomness of quantum circuit ensembles up to 50 qubits Minzhao Liu Junyu Liu Yuri Alexeev Liang Jiang 10 7 0 19 May 2022
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 118 420 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 119 645 0 28 Jul 2020