Cover Image

Hybrid Quantum Neural Networks with Amplitude Encoding: Advancing Recovery Rate Predictions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Ying, Griffin, Paul, Recchia, Paolo, Zhou, Lei, Zhang, Hongrui
Format:	Preprint
Published:	2025
Subjects:	Computational Finance Machine Learning Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction
by: Choudhary, Prashant Kumar, et al.
Published: (2025)

Quantum Data Encoding and Variational Algorithms: A Framework for Hybrid Quantum Classical Machine Learning
by: Bose, Bhavna, et al.
Published: (2025)

Quantum Reinforcement Learning Trading Agent for Sector Rotation in the Taiwan Stock Market
by: Chen, Chi-Sheng, et al.
Published: (2025)

Application of Tensor Neural Networks to Pricing Bermudan Swaptions
by: Patel, Raj G., et al.
Published: (2023)

Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
by: Papierz, Mateusz, et al.
Published: (2026)

Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization
by: Gurgul, Vincent, et al.
Published: (2026)

Quantum Deep Hedging
by: Cherrat, El Amine, et al.
Published: (2023)

Large Language Model Scaling Laws for Neural Quantum States in Quantum Chemistry
by: Knitter, Oliver, et al.
Published: (2025)

Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry
by: Knitter, Oliver, et al.
Published: (2024)

Quantum-Inspired Tensor Neural Networks for Option Pricing
by: Patel, Raj G., et al.
Published: (2022)

Quantum Adaptive Self-Attention for Financial Rebalancing: An Empirical Study on Automated Market Makers in Decentralized Finance
by: Chen, Chi-Sheng, et al.
Published: (2025)

Quantum and Classical Machine Learning in Decentralized Finance: Comparative Evidence from Multi-Asset Backtesting of Automated Market Makers
by: Chen, Chi-Sheng, et al.
Published: (2025)

Statistics-Informed Parameterized Quantum Circuit via Maximum Entropy Principle for Data Science and Finance
by: Zhuang, Xi-Ning, et al.
Published: (2024)

Improved Financial Forecasting via Quantum Machine Learning
by: Thakkar, Sohum, et al.
Published: (2023)

Classification of Financial Data Using Quantum Support Vector Machine
by: Bhattacharjee, Seemanta, et al.
Published: (2024)

Comparative Study of Long Short-Term Memory (LSTM) and Quantum Long Short-Term Memory (QLSTM): Prediction of Stock Market Movement
by: Mahmood, Tariq, et al.
Published: (2024)

ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
by: Afane, Mohamed, et al.
Published: (2025)

Supervised Similarity for Firm Linkages
by: Samson, Ryan, et al.
Published: (2025)

TorchQuantumDistributed
by: Knitter, Oliver, et al.
Published: (2025)

Distributed Quantum Neural Networks via Partitioned Features Encoding
by: Kawase, Yoshiaki
Published: (2023)

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
by: Kumar, Rahul, et al.
Published: (2025)

Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning
by: Mancilla, Javier, et al.
Published: (2024)

Time series generation for option pricing on quantum computers using tensor network
by: Kobayashi, Nozomu, et al.
Published: (2024)

The cross-sectional stock return predictions via quantum neural network and tensor network
by: Kobayashi, Nozomu, et al.
Published: (2023)

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

Hybrid Quantum Graph Neural Network for Molecular Property Prediction
by: Vitz, Michael, et al.
Published: (2024)

A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials
by: Jeyaraj, Dhananjeyan, et al.
Published: (2025)

A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
by: Cowlessur, Hevish, et al.
Published: (2025)

Selective Feature Re-Encoded Quantum Convolutional Neural Network with Joint Optimization for Image Classification
by: Sarkar, Shaswata Mahernob, et al.
Published: (2025)

Theory for Equivariant Quantum Neural Networks
by: Nguyen, Quynh T., et al.
Published: (2022)

Hybrid Quantum-Classical Neural Networks for Few-Shot Credit Risk Assessment
by: Wang, Zheng-an, et al.
Published: (2025)

Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks
by: Kyriacou, Basil, et al.
Published: (2026)

Quantum Convolutional Neural Networks are Effectively Classically Simulable
by: Bermejo, Pablo, et al.
Published: (2024)

Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding
by: Jahin, Afrar, et al.
Published: (2025)

Quantum Neural Network applications to Protein Binding Affinity Predictions
by: Teixeira, Erico Souza, et al.
Published: (2025)

Quantum Temporal Convolutional Neural Networks for Cross-Sectional Equity Return Prediction: A Comparative Benchmark Study
by: Chen, Chi-Sheng, et al.
Published: (2025)

Triplet Loss Based Quantum Encoding for Class Separability
by: Mordacci, Marco, et al.
Published: (2025)

Variational quantum and neural quantum states algorithms for the linear complementarity problem
by: De, Saibal, et al.
Published: (2025)

EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration
by: Liu, Bo, et al.
Published: (2024)

STN-GPR: A Singularity Tensor Network Framework for Efficient Option Pricing
by: Gribben, Dominic, et al.
Published: (2026)