The complexity of quantum support vector machines

The complexity of quantum support vector machines

28 February 2022

Gian Gentinetta

Papers citing "The complexity of quantum support vector machines"

15 / 15 papers shown

Title
Probabilistic Quantum SVM Training on Ising Machine Haoqi He Yan Xiao 55 0 0 20 Mar 2025
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise Bikram Khanal Pablo Rivas 82 0 0 16 Dec 2024
Quantum Kernel-Based Long Short-term Memory Yu-Chao Hsu Tai-Yu Li Kuan-Cheng Chen VLM 70 6 0 20 Nov 2024
Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent Debbie Lim Yixian Qiu P. Rebentrost Qisheng Wang 26 0 0 06 Nov 2024
CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data Kuan-Cheng Chen Yi-Tien Li Tai-Yu Li Chen-Yu Liu Po-Heng Li Cheng-Yu Chen 19 7 0 13 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 23 1 0 11 Sep 2024
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition Kuan-Cheng Chen Wenxuan Ma Xiaotian Xu 30 5 0 09 Sep 2024
Quantum Computing for Climate Resilience and Sustainability Challenges Kin Tung Michael Ho Kuan-Cheng Chen Lily Lee Felix Burt Shang Yu Po-Heng Lee Lee AI4CE 25 9 0 23 Jul 2024
Quantum Support Vector Machine for Prostate Cancer Detection: A Performance Analysis Walid El Maouaki Taoufik Said Mohamed Bennai 35 3 0 12 Mar 2024
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training M. E. Sahin Benjamin C. B. Symons Pushpak Pati F. Minhas Declan Millar M. Gabrani J. Robertus Stefano Mensa 21 5 0 05 Jan 2024
Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration Kuan-Cheng Chen Xiaotian Xu Henry Makhanov Hui-Hsuan Chung Chen-Yu Liu 13 10 0 21 Nov 2023
On Neural Quantum Support Vector Machines Lars Simon Manuel Radons 11 0 0 16 Aug 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 20 22 0 03 Jul 2023
Quantum Kernel Alignment with Stochastic Gradient Descent Gian Gentinetta David Sutter Christa Zoufal Bryce Fuller Stefan Woerner 21 12 0 19 Apr 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 24 17 0 22 Jan 2023