Saved in:
| Main Authors: | Nebli, Ahmed, Saadatdoorabi, Hadi, Yam, Kevin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.22255 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unifying Sign and Magnitude for Optimizing Deep Vision Networks via ThermoLion
by: Nebli, Ahmed
Published: (2025)
by: Nebli, Ahmed
Published: (2025)
Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025)
by: Lin, Yu-Cheng, et al.
Published: (2025)
Sequence-Model-Guided Measurement Selection for Quantum State Learning
by: Huang, Jiaxin, et al.
Published: (2025)
by: Huang, Jiaxin, et al.
Published: (2025)
Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning
by: Peng, Kuo-Chung, et al.
Published: (2026)
by: Peng, Kuo-Chung, et al.
Published: (2026)
Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
by: Aizpurua, Borja, et al.
Published: (2026)
by: Aizpurua, Borja, et al.
Published: (2026)
Quantum Large Language Models via Tensor Network Disentanglers
by: Aizpurua, Borja, et al.
Published: (2024)
by: Aizpurua, Borja, et al.
Published: (2024)
Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
by: Jaouni, Tareq, et al.
Published: (2023)
by: Jaouni, Tareq, et al.
Published: (2023)
GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching
by: Wang, Haoran, et al.
Published: (2024)
by: Wang, Haoran, et al.
Published: (2024)
Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation
by: Xiao, Wenjing, et al.
Published: (2026)
by: Xiao, Wenjing, et al.
Published: (2026)
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction
by: Dutta, Siddhant, et al.
Published: (2024)
by: Dutta, Siddhant, et al.
Published: (2024)
Molecular Design beyond Training Data with Novel Extended Objective Functionals of Generative AI Models Driven by Quantum Annealing Computer
by: Kunugi, Hayato, et al.
Published: (2026)
by: Kunugi, Hayato, et al.
Published: (2026)
ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks
by: Kashif, Muhammad, et al.
Published: (2024)
by: Kashif, Muhammad, et al.
Published: (2024)
Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning
by: Suzuki, Ryo, et al.
Published: (2026)
by: Suzuki, Ryo, et al.
Published: (2026)
Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
by: Fan, Fan, et al.
Published: (2026)
by: Fan, Fan, et al.
Published: (2026)
QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding
by: Willis, John M.
Published: (2024)
by: Willis, John M.
Published: (2024)
Model-based Offline Quantum Reinforcement Learning
by: Eisenmann, Simon, et al.
Published: (2024)
by: Eisenmann, Simon, et al.
Published: (2024)
Mixed-State Quantum Denoising Diffusion Probabilistic Model
by: Kwun, Gino, et al.
Published: (2024)
by: Kwun, Gino, et al.
Published: (2024)
Quantum Gradient Class Activation Map for Model Interpretability
by: Lin, Hsin-Yi, et al.
Published: (2024)
by: Lin, Hsin-Yi, et al.
Published: (2024)
Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
by: Chaudhary, Devashish, et al.
Published: (2026)
by: Chaudhary, Devashish, et al.
Published: (2026)
QuXAI: Explainers for Hybrid Quantum Machine Learning Models
by: Barua, Saikat, et al.
Published: (2025)
by: Barua, Saikat, et al.
Published: (2025)
TabularQGAN: A Quantum Generative Model for Tabular Data
by: Bhardwaj, Pallavi, et al.
Published: (2025)
by: Bhardwaj, Pallavi, et al.
Published: (2025)
Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
by: Xu, Yang, et al.
Published: (2025)
by: Xu, Yang, et al.
Published: (2025)
Noise-Agnostic Quantum Error Mitigation with Data Augmented Neural Models
by: Liao, Manwen, et al.
Published: (2023)
by: Liao, Manwen, et al.
Published: (2023)
Infeasibility Aware Large Language Models for Combinatorial Optimization
by: Wang, Yakun, et al.
Published: (2026)
by: Wang, Yakun, et al.
Published: (2026)
Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)
by: Liao, Yidong, et al.
Published: (2021)
Large Language Models Can Help Mitigate Barren Plateaus in Quantum Neural Networks
by: Zhuang, Jun, et al.
Published: (2025)
by: Zhuang, Jun, et al.
Published: (2025)
Quantum-Inspired Stacked Integrated Concept Graph Model (QISICGM) for Diabetes Risk Prediction
by: Young II, Kenneth G.
Published: (2025)
by: Young II, Kenneth G.
Published: (2025)
Quantum Phase Recognition via Quantum Attention Mechanism
by: Chen, Jin-Long, et al.
Published: (2026)
by: Chen, Jin-Long, et al.
Published: (2026)
Quantum Architecture Search for Solving Quantum Machine Learning Tasks
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
ConQuER: Modular Architectures for Control and Bias Mitigation in IQP Quantum Generative Models
by: Zou, Xiaocheng, et al.
Published: (2025)
by: Zou, Xiaocheng, et al.
Published: (2025)
Quantum entanglement provides a competitive advantage in adversarial games
by: Wang, Peiyong, et al.
Published: (2026)
by: Wang, Peiyong, et al.
Published: (2026)
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks
by: Tomut, Andrei, et al.
Published: (2024)
by: Tomut, Andrei, et al.
Published: (2024)
Simulation of a Variational Quantum Perceptron using Grover's Algorithm
by: Innan, Nouhaila, et al.
Published: (2023)
by: Innan, Nouhaila, et al.
Published: (2023)
Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
by: Rahman, Ratun, et al.
Published: (2025)
by: Rahman, Ratun, et al.
Published: (2025)
Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)
Soft-Quantum Algorithms
by: Kyriacou, Basil, et al.
Published: (2026)
by: Kyriacou, Basil, et al.
Published: (2026)
Quantum Flow Matching
by: Cui, Zidong, et al.
Published: (2025)
by: Cui, Zidong, et al.
Published: (2025)
The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
by: Freinberger, Dominik, et al.
Published: (2026)
by: Freinberger, Dominik, et al.
Published: (2026)
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization
by: Wang, Hanrui, et al.
Published: (2021)
by: Wang, Hanrui, et al.
Published: (2021)
Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks
by: Kyriacou, Basil, et al.
Published: (2026)
by: Kyriacou, Basil, et al.
Published: (2026)
Similar Items
-
Unifying Sign and Magnitude for Optimizing Deep Vision Networks via ThermoLion
by: Nebli, Ahmed
Published: (2025) -
Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025) -
Sequence-Model-Guided Measurement Selection for Quantum State Learning
by: Huang, Jiaxin, et al.
Published: (2025) -
Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning
by: Peng, Kuo-Chung, et al.
Published: (2026) -
Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
by: Aizpurua, Borja, et al.
Published: (2026)