most citedOpportunities and challenges of quantum computing for climate modelling

12 citations · 12 across the 2 of their papers we have counts for

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5 papers

quant-ph2026

Generalized Svetlichny Inequalities as a Cross-Platform Benchmark for Quantum Processors

Andrés Camilo Granda Arango, Giuseppe Sergioli, Luigi Iapichino +3

A cross-platform benchmark should be device-independent yet sensitive to imperfections accumulated during execution. Building on prior work, we formulate and validate a protocol th…

quant-ph2026

Nonlocality as a Benchmarking Tool for Quantum Processors

Andrés Camilo Granda Arango, Carla Sophie Rieger, Carlo Cuccu +5

Benchmarking quantum processors is a central task in every roadmap aimed at quantum advantage. Here, we discuss a benchmarking protocol based on the violation of the Svetlichny ine…

quant-ph2026

Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning

Fan Fan, Yilei Shi, Mihai Datcu +5

Machine Learning (ML) has been widely applied across numerous domains due to its ability to automatically identify informative patterns from data for various tasks. The availabilit…

physics.ed-ph2025

Q-BEAST: A Practical Course on Experimental Evaluation and Characterization of Quantum Computing Systems

Minh Chung, Yaknan Gambo, Burak Mete +12

Quantum computing (QC) promises to be a transformative technology with impact on various application domains, such as optimization, cryptography, and material science. However, the…

quant-ph2025★ 12 cited

Opportunities and challenges of quantum computing for climate modelling

Mierk Schwabe, Lorenzo Pastori, Inés de Vega +6

Adaptation to climate change requires robust climate projections, yet the uncertainty in these projections performed by ensembles of Earth system models (ESMs) remains large. This…