Let Quantum Neural Networks Choose Their Own Frequencies
Fuente:
arXiv
Saved in:
| Main Authors: | Jaderberg, Ben, Gentile, Antonio A., Berrada, Youssef Achari, Shishenina, Elvira, Elfving, Vincent E. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Classification of the Fashion-MNIST Dataset on a Quantum Computer
by: Shen, Kevin, et al.
Published: (2024)
by: Shen, Kevin, et al.
Published: (2024)
Potential of quantum scientific machine learning applied to weather modelling
by: Jaderberg, Ben, et al.
Published: (2024)
by: Jaderberg, Ben, et al.
Published: (2024)
Geometric quantum machine learning of BQP$^A$ protocols and latent graph classifiers
by: Umeano, Chukwudubem, et al.
Published: (2024)
by: Umeano, Chukwudubem, et al.
Published: (2024)
Quantum Extremal Learning
by: Varsamopoulos, Savvas, et al.
Published: (2022)
by: Varsamopoulos, Savvas, et al.
Published: (2022)
What can we learn from quantum convolutional neural networks?
by: Umeano, Chukwudubem, et al.
Published: (2023)
by: Umeano, Chukwudubem, et al.
Published: (2023)
Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics
by: Williams, Chelsea A., et al.
Published: (2024)
by: Williams, Chelsea A., et al.
Published: (2024)
AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling
by: Dutta, Siddhant, et al.
Published: (2024)
by: Dutta, Siddhant, et al.
Published: (2024)
Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection
by: Tudisco, Antonio, et al.
Published: (2025)
by: Tudisco, Antonio, et al.
Published: (2025)
On the Interpretability of Quantum Neural Networks
by: Pira, Lirandë, et al.
Published: (2023)
by: Pira, Lirandë, et al.
Published: (2023)
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition
by: Carrasquilla, Juan, et al.
Published: (2023)
by: Carrasquilla, Juan, et al.
Published: (2023)
Differential equation quantum solvers: engineering measurements to reduce cost
by: Paine, Annie, et al.
Published: (2025)
by: Paine, Annie, et al.
Published: (2025)
Let the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical Components
by: Wang, Peiyong, et al.
Published: (2024)
by: Wang, Peiyong, et al.
Published: (2024)
Dataset Distillation for Quantum Neural Networks
by: Phalak, Koustubh, et al.
Published: (2025)
by: Phalak, Koustubh, et al.
Published: (2025)
Theory for Equivariant Quantum Neural Networks
by: Nguyen, Quynh T., et al.
Published: (2022)
by: Nguyen, Quynh T., et al.
Published: (2022)
Stochastic Neural Networks for Quantum Devices
by: Rosenhahn, Bodo, et al.
Published: (2026)
by: Rosenhahn, Bodo, et al.
Published: (2026)
Conservative quantum offline model-based optimization
by: Sotirov, Kristian, et al.
Published: (2025)
by: Sotirov, Kristian, et al.
Published: (2025)
Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
by: Zhai, Jucai, et al.
Published: (2026)
by: Zhai, Jucai, et al.
Published: (2026)
Coherent Feed Forward Quantum Neural Network
by: Singh, Utkarsh, et al.
Published: (2024)
by: Singh, Utkarsh, et al.
Published: (2024)
Fragmentation is Efficiently Learnable by Quantum Neural Networks
by: Mints, Mikhail, et al.
Published: (2025)
by: Mints, Mikhail, et al.
Published: (2025)
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
by: Aktar, Shamminuj, et al.
Published: (2024)
by: Aktar, Shamminuj, et al.
Published: (2024)
Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification
by: Hafidi, My Youssef El, et al.
Published: (2025)
by: Hafidi, My Youssef El, et al.
Published: (2025)
Performance Analysis of Quantum Support Vector Classifiers and Quantum Neural Networks
by: Villalba-Ferreiro, Tomás, et al.
Published: (2025)
by: Villalba-Ferreiro, Tomás, et al.
Published: (2025)
Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks
by: Andrews, Emma, et al.
Published: (2026)
by: Andrews, Emma, et al.
Published: (2026)
Enhancing Small Dataset Classification Using Projected Quantum Kernels with Convolutional Neural Networks
by: Alagiyawanna, A. M. A. S. D., et al.
Published: (2026)
by: Alagiyawanna, A. M. A. S. D., et al.
Published: (2026)
Accelerating Inference for Multilayer Neural Networks with Quantum Computers
by: Rattew, Arthur G., et al.
Published: (2025)
by: Rattew, Arthur G., et al.
Published: (2025)
WSBD: Freezing-Based Optimizer for Quantum Neural Networks
by: Kverne, Christopher, et al.
Published: (2026)
by: Kverne, Christopher, et al.
Published: (2026)
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks
by: Schatzki, Louis, et al.
Published: (2022)
by: Schatzki, Louis, et al.
Published: (2022)
Quantum Convolutional Neural Networks are Effectively Classically Simulable
by: Bermejo, Pablo, et al.
Published: (2024)
by: Bermejo, Pablo, et al.
Published: (2024)
Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection
by: Mathur, Natansh, et al.
Published: (2025)
by: Mathur, Natansh, et al.
Published: (2025)
QNAS: A Neural Architecture Search Framework for Accurate and Efficient Quantum Neural Networks
by: Maleki, Kooshan, et al.
Published: (2026)
by: Maleki, Kooshan, et al.
Published: (2026)
Distributed Quantum Neural Networks via Partitioned Features Encoding
by: Kawase, Yoshiaki
Published: (2023)
by: Kawase, Yoshiaki
Published: (2023)
Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning
by: Smaldone, Anthony M., et al.
Published: (2023)
by: Smaldone, Anthony M., et al.
Published: (2023)
A Unified Theory of Quantum Neural Network Loss Landscapes
by: Anschuetz, Eric R.
Published: (2024)
by: Anschuetz, Eric R.
Published: (2024)
Assessing Superposition-Targeted Coverage Criteria for Quantum Neural Networks
by: Shao, Minqi, et al.
Published: (2024)
by: Shao, Minqi, et al.
Published: (2024)
IQNN-CS: Interpretable Quantum Neural Network for Credit Scoring
by: Khan, Abdul Samad, et al.
Published: (2025)
by: Khan, Abdul Samad, et al.
Published: (2025)
Quantum Neural Network applications to Protein Binding Affinity Predictions
by: Teixeira, Erico Souza, et al.
Published: (2025)
by: Teixeira, Erico Souza, et al.
Published: (2025)
Inductive Graph Representation Learning with Quantum Graph Neural Networks
by: Faria, Arthur M., et al.
Published: (2025)
by: Faria, Arthur M., et al.
Published: (2025)
A Study on Quantum Neural Networks in Healthcare 5.0
by: Chakraborty, Sanjay
Published: (2024)
by: Chakraborty, Sanjay
Published: (2024)
FRQI Pairs method for image classification using Quantum Recurrent Neural Network
by: Potempa, Rafał, et al.
Published: (2025)
by: Potempa, Rafał, et al.
Published: (2025)
Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models
by: D'Amico, Luigi, et al.
Published: (2025)
by: D'Amico, Luigi, et al.
Published: (2025)
Similar Items
-
Classification of the Fashion-MNIST Dataset on a Quantum Computer
by: Shen, Kevin, et al.
Published: (2024) -
Potential of quantum scientific machine learning applied to weather modelling
by: Jaderberg, Ben, et al.
Published: (2024) -
Geometric quantum machine learning of BQP$^A$ protocols and latent graph classifiers
by: Umeano, Chukwudubem, et al.
Published: (2024) -
Quantum Extremal Learning
by: Varsamopoulos, Savvas, et al.
Published: (2022) -
What can we learn from quantum convolutional neural networks?
by: Umeano, Chukwudubem, et al.
Published: (2023)