Cover Image

$\mathcal{O}(n)$ alternative to Quantum Fourier Transform with efficient neural net classical post-processing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bian, Kaiming, Wen, Zujin, Dahlsten, Oscar
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Symmetry-guided gradient descent for quantum neural networks
by: Bian, Kaiming, et al.
Published: (2024)

Quantum Sinusoidal Neural Networks
by: Wen, Zujin, et al.
Published: (2024)

Information compression via hidden subgroup quantum autoencoders
by: Liu, Feiyang, et al.
Published: (2023)

Quantum neural networks form Gaussian processes
by: García-Martín, Diego, et al.
Published: (2023)

Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning
by: Li, Linsen, et al.
Published: (2024)

Quantum-assisted Gaussian process regression using random Fourier features
by: Galvis-Florez, Cristian A., et al.
Published: (2025)

Quantum walks as thermalizations, with application to fullerene graphs
by: Dhamapurkar, Shyam, et al.
Published: (2023)

QGAN-based data augmentation for hybrid quantum-classical neural networks
by: He, Run-Ze, et al.
Published: (2025)

Inference, interference and invariance: How the Quantum Fourier Transform can help to learn from data
by: Wakeham, David, et al.
Published: (2024)

Comparing concepts of quantum and classical neural network models for image classification task
by: Potempa, Rafal, et al.
Published: (2021)

Resource-efficient equivariant quantum convolutional neural networks
by: Chinzei, Koki, et al.
Published: (2024)

HyQuRP: Hybrid quantum-classical neural network with rotational and permutational equivariance
by: Park, Semin, et al.
Published: (2026)

QuFeX: Quantum feature extraction module for hybrid quantum-classical deep neural networks
by: Jain, Naman, et al.
Published: (2025)

Classification and reconstruction for single-pixel imaging with classical and quantum neural networks
by: Manko, Sofya, et al.
Published: (2024)

Quantum oracles give an advantage for identifying classical counterfactuals
by: Gilligan-Lee, Ciarán M., et al.
Published: (2025)

Fourier Analysis of Variational Quantum Circuits for Supervised Learning
by: Wiedmann, Marco, et al.
Published: (2024)

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning
by: Marcandelli, Paolo, et al.
Published: (2025)

Tensor networks and efficient descriptions of classical data
by: Lu, Sirui, et al.
Published: (2021)

Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems
by: Shah, Freya, et al.
Published: (2024)

A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery
by: Domingo, L., et al.
Published: (2023)

Sample-efficient quantum error mitigation via classical learning surrogates
by: Liao, Wei-You, et al.
Published: (2025)

When can classical neural networks represent quantum states?
by: Yang, Tai-Hsuan, et al.
Published: (2024)

Quantum neural networks facilitating quantum state classification
by: Sharma, Diksha, et al.
Published: (2025)

Pixel-Translation-Equivariant Quantum Convolutional Neural Networks via Fourier Multiplexers
by: Chirkov, Dmitry, et al.
Published: (2026)

Trained quantum neural networks are Gaussian processes
by: Girardi, Filippo, et al.
Published: (2024)

Molecular Quantum Transformer
by: Kamata, Yuichi, et al.
Published: (2025)

Quantum Vision Transformers
by: Cherrat, El Amine, et al.
Published: (2022)

Page Curve of average subsystem entropy
by: Dahlsten, Oscar C. O.
Published: (2025)

Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting
by: Osorio, Sandra Leticia Juárez, et al.
Published: (2024)

Quantum Temporal Fusion Transformer
by: Barik, Krishnakanta, et al.
Published: (2025)

Quantum advantage for learning shallow neural networks with natural data distributions
by: Lewis, Laura, et al.
Published: (2025)

Quantum Adaptive Self-Attention for Quantum Transformer Models
by: Chen, Chi-Sheng, et al.
Published: (2025)

TunnElQNN: A Hybrid Quantum-classical Neural Network for Efficient Learning
by: Abbas, A. H.
Published: (2025)

Channel Superposition Mitigates Photon Loss Errors in Quantum Illumination
by: Li, Fei, et al.
Published: (2025)

Quantum Embedding with Transformer for High-dimensional Data
by: Chen, Hao-Yuan, et al.
Published: (2024)

Revisiting Quantum Code Generation: Where Should Domain Knowledge Live?
by: Novo, Oscar, et al.
Published: (2026)

What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
by: Hothem, Daniel, et al.
Published: (2024)

Generative quantum advantage for classical and quantum problems
by: Huang, Hsin-Yuan, et al.
Published: (2025)

Exponential separations between classical and quantum learners
by: Gyurik, Casper, et al.
Published: (2023)

Quantum parameter estimation with uncertainty quantification from continuous measurement data using neural network ensembles
by: Anteneh, Amanuel
Published: (2025)