Cover Image

Hybrid Quantum-Classical Mixture of Experts: Unlocking Topological Advantage via Interference-Based Routing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Heddad, Reda, Bouanane, Lamiae
Format:	Preprint
Published:	2025
Subjects:	Machine Learning 68T05, 81P68 I.2.6; F.1.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Noise-Adaptive Quantum Circuit Mapping for Multi-Chip NISQ Systems via Deep Reinforcement Learning
by: Zeynali, Atiye, et al.
Published: (2025)

The Free Will Equation: Quantum Field Analogies for AGI
by: Kabali, Rahul
Published: (2025)

A Hybrid Quantum Solver for Gaussian Process Regression
by: Bükrü, Kerem, et al.
Published: (2025)

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder
by: Orduz, Javier, et al.
Published: (2025)

Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection
by: Li, Xin, et al.
Published: (2025)

Readout-Side Bypass for Residual Hybrid Quantum-Classical Models
by: Zhang, Guilin, et al.
Published: (2025)

PERM EQ x GRAPH EQ: Equivariant Neural Networks for Quantum Molecular Learning
by: Biswas, Saumya, et al.
Published: (2025)

A Classical-Quantum Hybrid Architecture for Physics-Informed Neural Networks
by: Lantigua, Said, et al.
Published: (2025)

Classically Time-Controlled Quantum Automata: Definition and Properties
by: Díaz-Caro, Alejandro, et al.
Published: (2018)

STACHE: Local Black-Box Explanations for Reinforcement Learning Policies
by: Elashkin, Andrew, et al.
Published: (2025)

Understanding the Nature of Generative AI as Threshold Logic in High-Dimensional Space
by: Levin, Ilya
Published: (2026)

Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets
by: Paredes, Carlos A. Durán, et al.
Published: (2026)

Machine-learning based noise characterization and correction on neutral atoms NISQ devices
by: Canonici, Ettore, et al.
Published: (2023)

Quantum Deep Learning Still Needs a Quantum Leap
by: Gundlach, Hans, et al.
Published: (2025)

Quantum-aware Transformer model for state classification
by: Sekuła, Przemysław, et al.
Published: (2025)

Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies
by: Novák, Vojtěch, et al.
Published: (2025)

Tricks and Plug-ins for Gradient Boosting with Transformers
by: Fang, Biyi, et al.
Published: (2025)

Frequency-Domain Analysis of Time-Dependent Multiomic Data in Progressive Neurodegenerative Diseases: A Proposed Quantum-Classical Hybrid Approach with Quaternionic Extensions
by: Mayfield, John D.
Published: (2025)

Primal-Dual Sample Complexity Bounds for Constrained Markov Decision Processes with Multiple Constraints
by: Buckley, Max, et al.
Published: (2025)

Quantum Algorithm for Binary Vector Encoding and Retrieval Utilizing the Permutation Trick
by: Wichert, Andreas
Published: (2025)

Information-Theoretic Constraints on Variational Quantum Optimization: Efficiency Transitions and the Dynamical Lie Algebra
by: Tan, Jun Liang
Published: (2025)

Interpretation, Learning, and Empathy as One Constraint: A Residual-Adequacy Architecture with Accountable Abstention
by: Amornbunchornvej, Chainarong
Published: (2026)

Utilizing redundancies in Qubit Hilbert Space to reduce entangling gate counts in the Unitary Vibrational Coupled-Cluster Method
by: Szczepanik, Michal, et al.
Published: (2024)

Quantum generative adversarial networks for gluon initiated jets generation
by: Guadarrama, Rey, et al.
Published: (2025)

The Serial Scaling Hypothesis
by: Liu, Yuxi, et al.
Published: (2025)

Mastering NIM and Impartial Games with Weak Neural Networks: An AlphaZero-inspired Multi-Frame Approach
by: Riis, Søren
Published: (2024)

Bridging Classical and Quantum: Group-Theoretic Approach to Quantum Circuit Simulation
by: Shami, Daksh
Published: (2024)

Graded Transformers
by: Shaska Sr, Tony
Published: (2025)

NeurOptimisation: The Spiking Way to Evolve
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)

Synthetic data for ratemaking: imputation-based methods vs adversarial networks and autoencoders
by: Havrylenko, Yevhen, et al.
Published: (2025)

Active perception and disentangled representations allow continual, episodic zero and few-shot learning
by: Rawlinson, David, et al.
Published: (2026)

Theoretical Analysis of Positional Encodings in Transformer Models: Impact on Expressiveness and Generalization
by: Li, Yin
Published: (2025)

Quantum-Inspired Reinforcement Learning in the Presence of Epistemic Ambivalence
by: Habibi, Alireza, et al.
Published: (2025)

Actor-Curator: Co-adaptive Curriculum Learning via Policy-Improvement Bandits for RL Post-Training
by: Gu, Zhengyao, et al.
Published: (2026)

Semantic Variational Bayes Based on Semantic Information G Theory for Solving Latent Variables
by: Lu, Chenguang
Published: (2024)

Binarized Neural Networks Converge Toward Algorithmic Simplicity: Empirical Support for the Learning-as-Compression Hypothesis
by: Sakabe, Eduardo Y., et al.
Published: (2025)

Does Editing Provide Evidence for Localization?
by: Wang, Zihao, et al.
Published: (2025)

Learning Rate Engineering: From Coarse Single Parameter to Layered Evolution
by: Yao, Ming-Hong, et al.
Published: (2026)

From Point to probabilistic gradient boosting for claim frequency and severity prediction
by: Chevalier, Dominik, et al.
Published: (2024)

Counterfactual Basis Extension and Representational Geometry: An MDL-Constrained Model of Conceptual Growth
by: Amornbunchornvej, Chainarong
Published: (2025)