Modelling Rainfall Prediction with Quantum Circuits on the SPINQ Gemini Lab Pro Platform

Rocznik Ochrona Środowiska 2026, vol. 28, pp. 181-195

Mariselvam A.K. This email address is being protected from spambots. You need JavaScript enabled to view it., S. Mohamed Nizar , S. Sasikumar , Vieeralingaam G. 

	The Grover Centre of Quantum Technology, Chennai, India
	This email address is being protected from spambots. You need JavaScript enabled to view it.
	https://doi.org/10.54740/ros.2026.014

Here, we propose a quantum circuit-based model to predict rainfall using nonlinear meteorological variables, grounded in quantum computational principles. The qubits are encoded with temperature, pressure, and humidity using the  gate, and the CNOT gate is used for entangling the qubits to gain inter-variable correlations.  and  gates are also used to enhance the circuit's ability to represent complex weather patterns. The model is validated using meteorological data consisting of Temperature, Pressure, and Humidity measurements collected between August 1 and August 31, 2025. The model achieved a theoretical fidelity of 87.99% in predicting rainfall conditions. Using the SPINQ Gemini quantum platform, the model is implemented experimentally and achieved a quantum state purity of 100% to score a practical fidelity of 82.62%, indicating a high probability of rainfall with a density matrix of (|  = 0.04, |  = 0.96). The consistency between theoretical and practical outcomes is shown by rainfall accuracy of 87.99% and no-rainfall accuracy of 12.01%. These results show the potential of data-driven prediction in the future and of rainfall prediction using quantum circuits.

Quantum circuit, temperature, pressure, and humidity, Entanglement, CNOT gates

AMA Style
Mariselvam A., Nizar M., Sasikumar S., Vieeralingaam G.. Modelling Rainfall Prediction with Quantum Circuits on the SPINQ Gemini Lab Pro Platform. Rocznik Ochrona Środowiska. 2026; 28. https://doi.org/10.54740/ros.2026.014

ACM Style
Mariselvam A., Nizar M., Sasikumar S., Vieeralingaam G.. 2026. Modelling Rainfall Prediction with Quantum Circuits on the SPINQ Gemini Lab Pro Platform. Rocznik Ochrona Środowiska. 28. DOI:https://doi.org/10.54740/ros.2026.014

ACS Style
Mariselvam A., Nizar M., Sasikumar S., Vieeralingaam G., Modelling Rainfall Prediction with Quantum Circuits on the SPINQ Gemini Lab Pro Platform Rocznik Ochrona Środowiska 2026, 28, 181-195. https://doi.org/10.54740/ros.2026.014

APA Style
Mariselvam A., Nizar M., Sasikumar S., Vieeralingaam G. (2026). Modelling Rainfall Prediction with Quantum Circuits on the SPINQ Gemini Lab Pro Platform. Rocznik Ochrona Środowiska, 28, 181-195. https://doi.org/10.54740/ros.2026.014

ABNT Style
MARISELVAM A., NIZAR M., SASIKUMAR S., VIEERALINGAAM G.. Modelling Rainfall Prediction with Quantum Circuits on the SPINQ Gemini Lab Pro Platform. Rocznik Ochrona Środowiska, v. 28, p. 181-195, 2026. https://doi.org/10.54740/ros.2026.014

Chicago Style
Mariselvam A., Nizar M., Sasikumar S., Vieeralingaam G. 2026. "Modelling Rainfall Prediction with Quantum Circuits on the SPINQ Gemini Lab Pro Platform". Rocznik Ochrona Środowiska 28, 181-195. https://doi.org/10.54740/ros.2026.014

Harvard Style
Mariselvam A., Nizar M., Sasikumar S., Vieeralingaam G. (2026) "Modelling Rainfall Prediction with Quantum Circuits on the SPINQ Gemini Lab Pro Platform", Rocznik Ochrona Środowiska, 28, pp. 181-195. doi:https://doi.org/10.54740/ros.2026.014

IEEE Style
Mariselvam A., Nizar M., Sasikumar S., Vieeralingaam G., "Modelling Rainfall Prediction with Quantum Circuits on the SPINQ Gemini Lab Pro Platform", RoczOchrSrod, vol 28, pp. 181-195. https://doi.org/10.54740/ros.2026.014