On Optimizing Hyperparameters for Quantum Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Herbst, Sabrina, De Maio, Vincenzo, Brandic, Ivona |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case
by: Herbst, Sabrina, et al.
Published: (2024)
by: Herbst, Sabrina, et al.
Published: (2024)
Qubit-Efficient QUBO Formulation for Constrained Optimization Problems
by: Kanatbekova, Meerzhan, et al.
Published: (2025)
by: Kanatbekova, Meerzhan, et al.
Published: (2025)
Breaking Down Quantum Compilation: Profiling and Identifying Costly Passes
by: Zilk, Felix, et al.
Published: (2025)
by: Zilk, Felix, et al.
Published: (2025)
Paving the Way to Hybrid Quantum-Classical Scientific Workflows
by: Cranganore, Sandeep Suresh, et al.
Published: (2024)
by: Cranganore, Sandeep Suresh, et al.
Published: (2024)
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks
by: Herbst, Sabrina, et al.
Published: (2024)
by: Herbst, Sabrina, et al.
Published: (2024)
Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing
by: De Maio, Vincenzo, et al.
Published: (2024)
by: De Maio, Vincenzo, et al.
Published: (2024)
Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
by: Pelke, Rebecca, et al.
Published: (2025)
by: Pelke, Rebecca, et al.
Published: (2025)
Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction
by: Jeong, Seon-Geun, et al.
Published: (2025)
by: Jeong, Seon-Geun, et al.
Published: (2025)
Quadratic Binary Optimization with Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)
by: Eliasof, Moshe, et al.
Published: (2024)
Exploring Quantum Neural Networks for Demand Forecasting
by: de Jesus, Gleydson Fernandes, et al.
Published: (2024)
by: de Jesus, Gleydson Fernandes, et al.
Published: (2024)
Multi-Class Quantum Convolutional Neural Networks
by: Mordacci, Marco, et al.
Published: (2024)
by: Mordacci, Marco, et al.
Published: (2024)
Exploring the Potential of Spiking Neural Networks in UWB Channel Estimation
by: Zhang, Youdong, et al.
Published: (2025)
by: Zhang, Youdong, et al.
Published: (2025)
Neural CRNs: A Natural Implementation of Learning in Chemical Reaction Networks
by: Nagipogu, Rajiv Teja, et al.
Published: (2024)
by: Nagipogu, Rajiv Teja, et al.
Published: (2024)
Device Modeling Bias in ReRAM-based Neural Network Simulations
by: Yousuf, Osama, et al.
Published: (2022)
by: Yousuf, Osama, et al.
Published: (2022)
Thermodynamics-Inspired Computing with Oscillatory Neural Networks for Inverse Matrix Computation
by: Tsormpatzoglou, George, et al.
Published: (2025)
by: Tsormpatzoglou, George, et al.
Published: (2025)
Clustering Guided Residual Neural Networks for Multi-Tx Localization in Molecular Communications
by: Sonmez, Ali, et al.
Published: (2025)
by: Sonmez, Ali, et al.
Published: (2025)
Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming
by: Sharma, Aasish Kumar, et al.
Published: (2025)
by: Sharma, Aasish Kumar, et al.
Published: (2025)
StochEP: Stochastic Equilibrium Propagation for Spiking Convergent Recurrent Neural Networks
by: Lin, Jiaqi, et al.
Published: (2025)
by: Lin, Jiaqi, et al.
Published: (2025)
FedQNN: Federated Learning using Quantum Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024)
by: Innan, Nouhaila, et al.
Published: (2024)
Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks
by: Tao, Han-Xiao, et al.
Published: (2024)
by: Tao, Han-Xiao, et al.
Published: (2024)
Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks
by: Mordacci, Marco, et al.
Published: (2025)
by: Mordacci, Marco, et al.
Published: (2025)
Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test
by: Nagies, Sebastian, et al.
Published: (2025)
by: Nagies, Sebastian, et al.
Published: (2025)
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
by: Gallo, Manuel Le, et al.
Published: (2023)
by: Gallo, Manuel Le, et al.
Published: (2023)
QAOA-PCA: Enhancing Efficiency in the Quantum Approximate Optimization Algorithm via Principal Component Analysis
by: Parry, Owain, et al.
Published: (2025)
by: Parry, Owain, et al.
Published: (2025)
Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle Fleet
by: Deineko, Elija, et al.
Published: (2024)
by: Deineko, Elija, et al.
Published: (2024)
Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks
by: Kumaresan, Poornima, et al.
Published: (2026)
by: Kumaresan, Poornima, et al.
Published: (2026)
A Novel Single-Layer Quantum Neural Network for Approximate SRBB-Based Unitary Synthesis
by: Belli, Giacomo, et al.
Published: (2024)
by: Belli, Giacomo, et al.
Published: (2024)
BitLogic: Training Framework for Gradient-Based FPGA-Native Neural Networks
by: Bührer, Simon, et al.
Published: (2026)
by: Bührer, Simon, et al.
Published: (2026)
Scalable Thermodynamic Second-order Optimization
by: Donatella, Kaelan, et al.
Published: (2025)
by: Donatella, Kaelan, et al.
Published: (2025)
Multi-Objective Neural Architecture Search for In-Memory Computing
by: Amin, Md Hasibul, et al.
Published: (2024)
by: Amin, Md Hasibul, et al.
Published: (2024)
Perfecting Imperfect Physical Neural Networks with Transferable Robustness using Sharpness-Aware Training
by: Xu, Tengji, et al.
Published: (2024)
by: Xu, Tengji, et al.
Published: (2024)
Machine Learning Applications of Quantum Computing: A Review
by: Nguyen, Thien, et al.
Published: (2024)
by: Nguyen, Thien, et al.
Published: (2024)
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition
by: Chen, Andi, et al.
Published: (2024)
by: Chen, Andi, et al.
Published: (2024)
Quantum Synthetic Data Generation for Industrial Bioprocess Monitoring
by: Gibford, Shawn M., et al.
Published: (2025)
by: Gibford, Shawn M., et al.
Published: (2025)
Quantum Algorithms: A New Frontier in Financial Crime Prevention
by: Weinberg, Abraham Itzhak, et al.
Published: (2024)
by: Weinberg, Abraham Itzhak, et al.
Published: (2024)
Quantum Machine Learning in Healthcare: Evaluating QNN and QSVM Models
by: Tudisco, Antonio, et al.
Published: (2025)
by: Tudisco, Antonio, et al.
Published: (2025)
Machine Intelligence on Wireless Edge Networks
by: Vadlamani, Sri Krishna, et al.
Published: (2025)
by: Vadlamani, Sri Krishna, et al.
Published: (2025)
Generation of Optimized Solidity Code for Machine Learning Models using LLMs
by: Sham, Nikumbh Sarthak, et al.
Published: (2025)
by: Sham, Nikumbh Sarthak, et al.
Published: (2025)
PASS: Certified Subset Repair for Classical and Quantum Pairwise Constrained Clustering
by: Chumpitaz-Flores, Pedro, et al.
Published: (2026)
by: Chumpitaz-Flores, Pedro, et al.
Published: (2026)
Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders
by: Ludmir, Jason Zev, et al.
Published: (2025)
by: Ludmir, Jason Zev, et al.
Published: (2025)
Similar Items
-
Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case
by: Herbst, Sabrina, et al.
Published: (2024) -
Qubit-Efficient QUBO Formulation for Constrained Optimization Problems
by: Kanatbekova, Meerzhan, et al.
Published: (2025) -
Breaking Down Quantum Compilation: Profiling and Identifying Costly Passes
by: Zilk, Felix, et al.
Published: (2025) -
Paving the Way to Hybrid Quantum-Classical Scientific Workflows
by: Cranganore, Sandeep Suresh, et al.
Published: (2024) -
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks
by: Herbst, Sabrina, et al.
Published: (2024)