Key papers

• An adaptive and evolvable deep reinforcement learning framework for weather prediction (2026)
  Qiang Wu et al.
  2.00
• AIFS-TC: A simple correction competitive with the operational frontier for tropical cyclone intensity forecasting (2026)
  Anna Allen et al.
  2.00
• Projected climate memory and inherited warm-tail risk in accelerated European summer warming (2026)
  Mauricio Herrera-Mar\'in et al.
  2.00
• Do AI weather models miss extremes? (2026)
  Marvin Vincent Gabler et al.
  2.00
• Deep Learning-Based Statistical Downscaling of Sea Surface Temperature Using a Residual Corrective Neural Network (2026)
  Onkar Jadhav et al.
  2.00
• Stochastic Emulation of a Fully Coupled Preindustrial E3SMv3 Simulation (2026)
  Elynn Wu et al.
  2.00
• Quantum-limited estimation of atmospheric turbulence via spatial mode decomposition (2026)
  A. Hrebeniuk et al.
  1.89
• Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling (2026)
  Rui Wang et al.
  1.83
• Quantum geometry of the rotating shallow water model (2026)
  Sriram Ganeshan and Alan T. Dorsey
  1.61
• Quantum Machine Learning for Climate Modelling (2025)
  Mierk Schwabe et al.
  1.56
• Quantum Bayesian Optimization for the Automatic Tuning of Lorenz-96 as a Surrogate Climate Model (2025)
  Paul J. Christiansen et al.
  1.56
• Relative Wavefront Errors in Continuous-Variable Quantum Communication (2025)
  Nathan K. Long et al.
  1.33
• Opportunities and challenges of quantum computing for climate modelling (2025)
  Mierk Schwabe et al.
  1.00
• Theory of atmospheric quantum channels based on the law of total probability (2018)
  D. Vasylyev et al.
  —
• Nonclassicality and Bell nonlocality in atmospheric links (2018)
  A. A. Semenov et al.
  —
• Characterization of free-space quantum channels (2018)
  D. Vasylyev et al.
  —
• Limits and Security of Free-Space Quantum Communications (2020)
  Stefano Pirandola
  —
• Satellite Quantum Communications: Fundamental Bounds and Practical Security (2020)
  Stefano Pirandola
  —
• Quantum Communication Over Atmospheric Channels: A Framework for Optimizing Wavelength and Filtering (2021)
  R. Nicholas Lanning et al.
  —
• Variational Quantum Solutions to the Advection-Diffusion Equation for Applications in Fluid Dynamics (2022)
  Reuben Demirdjian et al.
  —
• Quantum Computers for Weather and Climate Prediction: The Good, the Bad and the Noisy (2022)
  Felix Tennie and Tim Palmer
  —
• Potential quantum advantage for simulation of fluid dynamics (2023)
  Xiangyu Li et al.
  —
• Resolving Emergent Beat Patterns Through Hybrid Bayesian Learning of Multilayered Stochastic Hierarchical Delay Models (2023)
  Micka\"el D. Chekroun et al.
  —
• Numerical simulations of atmospheric quantum channels (2023)
  M. Klen and A. A. Semenov
  —
• Time correlations in atmospheric quantum channels (2023)
  M. Klen et al.
  —
• Formulation and evaluation of ocean dynamics problems as optimization problems for quantum annealing machines (2024)
  Takuro Matsuta and Ryo Furue
  —
• Quantum Algorithm for a Stochastic Multicloud Model (2024)
  Kazumasa Ueno et al.
  —
• QESM: A Leap Towards Quantum-Enhanced ML Emulation Framework for Earth and Climate Modeling (2024)
  Adib Bazgir and Yuwen Zhang
  —
• Quantum Approximate Optimization Algorithm and Quantum-enhanced Markov Chain Monte Carlo: A Hybrid Approach to Data Assimilation in 4DVAR (2024)
  Abhiram Sripat
  —
• Ultra-sensitive heterodyne detection at room temperature in the atmospheric windows (2024)
  Mohammadreza Saemian et al.
  —