Key papers

• Optimal Stabilizer Testing and Learning with Limited Quantum Memory (2026)
  Srinivasan Arunachalam et al.
  5.49
• Do emulated quantum circuits change what CNNs look at? Performance and explainability comparison in medical image classification (2026)
  Guillermo Rubi\~nos Rodr\'iguez et al.
  5.49
• Quantum-secure multiparty deep learning (2024)
  Kfir Sulimany et al.
  5.29
• Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning (2026)
  Santanu Ganguly et al.
  5.01
• Quantum-Inspired Vision: Leveraging Wave-Particle Duality for Low-Illumination Enhancement (2026)
  Yiquan Gao
  5.01
• Generative Modeling of Quantum Distribution with Functional Flow Matching (2026)
  Jaehoon Hahm et al.
  4.39
• Hybrid quantum-classical neural network for sentiment analysis (2026)
  Giacomo Cappiello et al.
  4.39
• Ravines in quantum cost landscapes: opportunities for improved VQA predictions (2026)
  Felix J. Beckmann et al.
  3.51
• Mechanistic Interpretability and Causal Feature Steering of Neural Quantum States via Sparse Autoencoders (2026)
  Zihao Qi et al.
  3.51
• Design rules for fault-tolerant multi-gate teleportation (2026)
  Mathys Rennela
  3.51
• Efficient Unclonable Encryption from Pauli Eigenstates (2026)
  Seyoon Ragavan
  3.51
• QC-PHAST Search: Classical--Quantum Query Benchmarks for Finite-Pool Rare-Regime Discovery (2026)
  Harsh Milind Tirhekar et al.
  3.51
• Learning to Prepare Molecular Ground States with Transformer Models (2026)
  Alex Koziell-Pipe et al.
  3.51
• Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support (2026)
  Peiyong Wang et al.
  3.51
• Entanglement geometry separates circuit cutting, classical hardness, and trainability (2026)
  Maria Gragera Garces et al.
  2.00
• Explainable quantum-compressed machine learning for complex fluid flows (2026)
  Xiao Xue et al.
  2.00
• Universal Quantum Transformer (2026)
  Sungyong Chung et al.
  1.94
• Can Quantum Federated Learning Withstand Circuit-Level Backdoors? (2026)
  Aakar Mathur et al.
  1.89
• Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation (2026)
  Wenjing Xiao et al.
  1.89
• Federated Learning with Quantum Enhanced LSTM for Applications in High Energy Physics (2026)
  Abhishek Sawaika et al.
  1.83
• Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification (2026)
  Ralntion Komini et al.
  1.83
• Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks (2026)
  Devashish Chaudhary et al.
  1.78
• Tackling Heterogeneity in Quantum Federated Learning: An Integrated Sporadic-Personalized Approach (2026)
  Ratun Rahman et al.
  1.67
• Adaptive Aggregation with Two Gains in QFL (2025)
  S Nanayakkara
  1.61
• Quantum Machine Unlearning: Foundations, Mechanisms, and Taxonomy (2025)
  Thanveer Shaik et al.
  1.56
• Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series (2025)
  Kuan-Cheng Chen et al.
  1.56
• Enhancing Federated Learning Privacy with QUBO (2025)
  Andras Ferenczi and Sutapa Samanta and Dagen Wang and Todd Hodges
  1.56
• Towards Personalized Quantum Federated Learning for Anomaly Detection (2025)
  Ratun Rahman et al.
  1.56
• Towards Heterogeneous Quantum Federated Learning: Challenges and Solutions (2025)
  Ratun Rahman et al.
  1.56
• RELiQ: Scalable Entanglement Routing via Reinforcement Learning in Quantum Networks (2025)
  Tobias Meuser et al.
  1.56
• Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus (2025)
  Jason Han et al.
  1.50
• Quantum Federated Learning: Architectural Elements and Future Directions (2025)
  Siva Sai et al.
  1.50
• RobQFL: Robust Quantum Federated Learning in Adversarial Environment (2025)
  Walid El Maouaki et al.
  1.44
• Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning (2025)
  Duc-Thien Phan et al.
  1.44
• Adversarial Robustness in Distributed Quantum Machine Learning (2025)
  Pouya Kananian et al.
  1.39
• SimQFL: A Quantum Federated Learning Simulator with Real-Time Visualization (2025)
  Ratun Rahman et al.
  1.39
• Differentially Private Federated Quantum Learning via Quantum Noise (2025)
  Atit Pokharel et al.
  1.39
• Enhancing Quantum Federated Learning with Fisher Information-Based Optimization (2025)
  Amandeep Singh Bhatia et al.
  1.33
• CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion (2022)
  Anh Le-Tuan et al.
  —
• The Future of QKD Networks (2024)
  Alin-Bogdan Popa and Pantelimon George Popescu
  —
• CEF: Connecting Elaborate Federal QKD Networks (2024)
  Alin-Bogdan Popa and Pantelimon Popescu
  —