Key papers

• 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
• QC-PHAST Search: Classical--Quantum Query Benchmarks for Finite-Pool Rare-Regime Discovery (2026)
  Harsh Milind Tirhekar et al.
  5.49
• Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support (2026)
  Peiyong Wang et al.
  5.49
• Bridging Quantum Computing Paradigms toward Semiconductor Yield: A Controlled CV-versus-DV Comparison on Wafer-Map Defect Classification (2026)
  Yeonhong Kim et al.
  5.01
• Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders (2026)
  Gregorio de la Fuente et al.
  5.01
• CayleyR: Solving the TopSpin puzzle via cycle intersection (2026)
  Yuri Baramykov
  4.39
• PQFA: Parallel Quantum Feature Augmentation of Fused Representations for Multimodal Classification (2026)
  Mingzhu Wang et al.
  4.39
• Towards quantum machine learning for assessing the resilience of post-quantum cryptography (2026)
  Jaros{\l}aw A. Miszczak
  4.39
• Quantum Topological Data Encoding (2026)
  Adam Weso{\l}owski et al.
  4.39
• RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation (2026)
  Abdallah Aaraba et al.
  4.39
• Statevector-Referenced Geometry Survival of a Four-Qubit ZZ Quantum Kernel on IBM Quantum Hardware: A Fixed-Subset Diagnostic Across Three Execution Configurations (2026)
  Rostyslav Sipakov
  4.39
• GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries (2026)
  Miguel P. Bento et al.
  4.39
• A Drift Stable Quantum Federated Learning for Intelligent Services (2026)
  Shanika Iroshi Nanayakkara et al.
  4.39
• Reliability-Aware Bayesian Optimization of 1310 nm PCSELs with FDTD Verification (2026)
  Jinglin Yu et al.
  4.39
• VQCSim: When Does Compile-Once Statevector Simulation Beat Generic Quantum Frameworks? (2026)
  Anton Firc et al.
  3.51
• Identity-Paired Progressive Depth Training: When Trainability Persists Beyond Expressibility (2026)
  Athanasios Hadjidimoulas et al.
  3.51
• Position: The Inevitable Transition to Machine Learning in Quantum Chemistry (2026)
  Karen Sargsyan et al.
  3.51
• Enhanced Neural Quantum State via Annealed Gradient Descent (2026)
  Shiwei Zhou et al.
  3.51
• Entanglement geometry separates circuit cutting, classical hardness, and trainability (2026)
  Maria Gragera Garces et al.
  2.00
• GPTQ-2D: Cubic-Time Two-Sided Adaptive Rounding (2026)
  Jiale Chen et al.
  2.00
• An Empirical Study of OpenPangu Quantization on Ascend NPUs (2026)
  Tong Shi et al.
  1.94
• Shot-based quantum encoding: a data-loading paradigm for quantum neural networks (2026)
  Basil Kyriacou 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
• GPU-Accelerated ANNS: Quantized for Speed, Built for Change (2026)
  Hunter McCoy et al.
  1.67
• Balancing Privacy and Efficiency: Music Information Retrieval via Additive Homomorphic Encryption (2025)
  William Zerong Wang et al.
  1.39
• PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework (2025)
  Abhineet Agarwal et al.
  1.22