Papers

• Qubit-Efficient Quantum Search for Hyperdimensional Decomposition via Logarithmic Encoding (2026)
  Sanggeon Yun et al.
  4.39
• Quantum Port-Hamiltonian Neural Networks: Learning Conservative and Dissipative Dynamics via Measurement-Induced Nonlinearity (2026)
  Dibakar Sigdel
  4.39
• Quantum Circuit Vision: Cost-Aware Evaluation of Visual AI Agents for Quantum Code Generation (2026)
  Dongping Liu et al.
  3.51
• VQCSim: When Does Compile-Once Statevector Simulation Beat Generic Quantum Frameworks? (2026)
  Anton Firc et al.
  3.51
• Position: The Inevitable Transition to Machine Learning in Quantum Chemistry (2026)
  Karen Sargsyan et al.
  3.51
• Rapid training of quantum recurrent neural networks (2022)
  Micha{\l} Siemaszko et al.
  2.53
• Multivariate Time Series Forecasting with Gate-Based Quantum Reservoir Computing on NISQ Hardware (2025)
  Wissal Hamhoum et al.
  1.50
• Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting (2025)
  Chi-Sheng Chen and Samuel Yen-Chi Chen and Yun-Cheng Tsai
  1.39
• Level Generation with Quantum Reservoir Computing (2025)
  Jo\~ao S. Ferreira et al.
  1.22
• Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting (2025)
  Nikolaos Schetakis et al.
  1.00