Training Variational Quantum Circuits Using Particle Swarm Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Mordacci, Marco, Amoretti, Michele |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Multi-Class Quantum Convolutional Neural Networks
by: Mordacci, Marco, et al.
Published: (2024)
by: Mordacci, Marco, et al.
Published: (2024)
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)
Triplet Loss Based Quantum Encoding for Class Separability
by: Mordacci, Marco, et al.
Published: (2025)
by: Mordacci, Marco, et al.
Published: (2025)
AltGraph: Redesigning Quantum Circuits Using Generative Graph Models for Efficient Optimization
by: Beaudoin, Collin, et al.
Published: (2024)
by: Beaudoin, Collin, et al.
Published: (2024)
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects
by: Yan, Ge, et al.
Published: (2024)
by: Yan, Ge, et al.
Published: (2024)
Reachability Constraints in Variational Quantum Circuits: Optimization within Polynomial Group Module
by: Oh, Yun-Tak, et al.
Published: (2026)
by: Oh, Yun-Tak, et al.
Published: (2026)
Analyzing Images of Blood Cells with Quantum Machine Learning Methods: Equilibrium Propagation and Variational Quantum Circuits to Detect Acute Myeloid Leukemia
by: Bano, A., et al.
Published: (2026)
by: Bano, A., et al.
Published: (2026)
Variational Quantum Circuits Enhanced Generative Adversarial Network
by: Shu, Runqiu, et al.
Published: (2024)
by: Shu, Runqiu, et al.
Published: (2024)
Quantum Circuit for Random Forest Prediction
by: Safina, Liliia, et al.
Published: (2023)
by: Safina, Liliia, et al.
Published: (2023)
Compiler Optimization for Quantum Computing Using Reinforcement Learning
by: Quetschlich, Nils, et al.
Published: (2022)
by: Quetschlich, Nils, et al.
Published: (2022)
Algebraic Reduction to Improve an Optimally Bounded Quantum State Preparation Algorithm
by: Belli, Giacomo, et al.
Published: (2026)
by: Belli, Giacomo, et al.
Published: (2026)
VQEzy: An Open-Source Dataset for Parameter Initialization in Variational Quantum Eigensolvers
by: Zhang, Chi, et al.
Published: (2025)
by: Zhang, Chi, et al.
Published: (2025)
SRBB-Based Quantum State Preparation
by: Belli, Giacomo, et al.
Published: (2025)
by: Belli, Giacomo, et al.
Published: (2025)
DiffQ: Unified Parameter Initialization for Variational Quantum Algorithms via Diffusion Models
by: Zhang, Chi, et al.
Published: (2025)
by: Zhang, Chi, et al.
Published: (2025)
Local Binary and Multiclass SVMs Trained on a Quantum Annealer
by: Zardini, Enrico, et al.
Published: (2024)
by: Zardini, Enrico, et al.
Published: (2024)
Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity
by: Chen, Samuel Yen-Chi
Published: (2024)
by: Chen, Samuel Yen-Chi
Published: (2024)
Exploring Quantum Control Landscape and Solution Space Complexity through Dimensionality Reduction & Optimization Algorithms
by: Fentaw, Haftu W., et al.
Published: (2025)
by: Fentaw, Haftu W., et al.
Published: (2025)
EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data
by: Han, Jason, et al.
Published: (2025)
by: Han, Jason, et al.
Published: (2025)
Learning to Program Variational Quantum Circuits with Fast Weights
by: Chen, Samuel Yen-Chi
Published: (2024)
by: Chen, Samuel Yen-Chi
Published: (2024)
Variational and Annealing-Based Approaches to Quantum Combinatorial Optimization
by: Hawashin, Hala, et al.
Published: (2026)
by: Hawashin, Hala, et al.
Published: (2026)
KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
by: Apak, Boran, et al.
Published: (2024)
by: Apak, Boran, et al.
Published: (2024)
Q-fid: Quantum Circuit Fidelity Improvement with LSTM Networks
by: Mao, Yikai, et al.
Published: (2023)
by: Mao, Yikai, et al.
Published: (2023)
Empirical Quantum Advantage Analysis of Quantum Kernel in Gene Expression Data
by: Ghosh, Arpita, et al.
Published: (2024)
by: Ghosh, Arpita, et al.
Published: (2024)
Non-Variational Quantum Random Access Optimization with Alternating Operator Ansatz
by: He, Zichang, et al.
Published: (2025)
by: He, Zichang, et al.
Published: (2025)
BVQC: A Backdoor-style Watermarking Scheme for Variational Quantum Circuits
by: Chu, Cheng, et al.
Published: (2025)
by: Chu, Cheng, et al.
Published: (2025)
Machine Learning for Quantum Noise Reduction
by: Kendre, Karan
Published: (2025)
by: Kendre, Karan
Published: (2025)
Photonic Quantum-Enhanced Knowledge Distillation
by: Chen, Kuan-Cheng, et al.
Published: (2026)
by: Chen, Kuan-Cheng, et al.
Published: (2026)
Adversarial Robustness in Distributed Quantum Machine Learning
by: Kananian, Pouya, et al.
Published: (2025)
by: Kananian, Pouya, et al.
Published: (2025)
An Efficient Quantum Classifier Based on Hamiltonian Representations
by: Tiblias, Federico, et al.
Published: (2025)
by: Tiblias, Federico, et al.
Published: (2025)
Quantum Annealing for Robust Principal Component Analysis
by: Tomeo, Ian, et al.
Published: (2025)
by: Tomeo, Ian, et al.
Published: (2025)
Quantum AI for Alzheimer's disease early screening
by: Cappiello, Giacomo, et al.
Published: (2024)
by: Cappiello, Giacomo, 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)
Parameter-efficient Quantum Multi-task Learning
by: Cowlessur, Hevish, et al.
Published: (2026)
by: Cowlessur, Hevish, et al.
Published: (2026)
Quantum Federated Learning Experiments in the Cloud with Data Encoding
by: Pokhrel, Shiva Raj, et al.
Published: (2024)
by: Pokhrel, Shiva Raj, et al.
Published: (2024)
Sparks of Quantum Advantage and Rapid Retraining in Machine Learning
by: Troy, William
Published: (2024)
by: Troy, William
Published: (2024)
Quantum Clustering with k-Means: a Hybrid Approach
by: Poggiali, Alessandro, et al.
Published: (2022)
by: Poggiali, Alessandro, et al.
Published: (2022)
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)
Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction
by: Sakhuja, Saiyam, et al.
Published: (2025)
by: Sakhuja, Saiyam, et al.
Published: (2025)
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis
by: Georgiou, Petros, et al.
Published: (2024)
by: Georgiou, Petros, et al.
Published: (2024)
Similar Items
-
Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks
by: Mordacci, Marco, et al.
Published: (2025) -
Multi-Class Quantum Convolutional Neural Networks
by: Mordacci, Marco, et al.
Published: (2024) -
A Novel Single-Layer Quantum Neural Network for Approximate SRBB-Based Unitary Synthesis
by: Belli, Giacomo, et al.
Published: (2024) -
Triplet Loss Based Quantum Encoding for Class Separability
by: Mordacci, Marco, et al.
Published: (2025) -
AltGraph: Redesigning Quantum Circuits Using Generative Graph Models for Efficient Optimization
by: Beaudoin, Collin, et al.
Published: (2024)