Results 121 to 130 of about 108,734 (233)

Climatological Benchmarking of AI‐Generated Tropical Cyclones

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 2, 28 January 2026.
Abstract This study presents a comprehensive climatological benchmarking of tropical cyclones (TCs) generated by AI‐based global weather prediction models. Using all TC events from the North Atlantic and Western Pacific basins between 2020 and 2025, we assess the ability of two AI models (Pangu‐Weather and Aurora) to reproduce observed TC track density,
Yanmo Weng, Avantika Gori
wiley   +1 more source

RinQ: Towards predicting central sites in proteins on current quantum computers

Materials Today Quantum
We introduce RinQ, a hybrid quantum–classical framework for identifying functionally critical residues in proteins by formulating centrality detection as a Quadratic Unconstrained Binary Optimization (QUBO) problem.
Shah Ishmam Mohtashim
doaj   +1 more source

Optimization Methods for Inverse Problems

, 2017
Optimization plays an important role in solving many inverse problems. Indeed, the task of inversion often either involves or is fully cast as a solution of an optimization problem.
Cui, Tiangang, Roosta-Khorasani, Farbod, Ye, Nan   +2 more
core  

A transformation method for constrained-function minimization [PDF]

A direct method for constrained-function minimization is discussed. The method involves the construction of an appropriate function mapping all of one finite dimensional space onto the region defined by the constraints.
Park, S. K.
core   +1 more source

Quadratic unconstrained binary optimization for environmental control system equipment design and assessment

Advanced Modeling and Simulation in Engineering Sciences
This paper explores possible implementations of a quantum annealing-based algorithm, in the Quadratic unconstrained binary optimization method (QUBO) form, to solve the thermo-fluid dynamics problem associated with the design of critical components of ...
Giulio Malinverno, Javier Blasco Alberto
doaj   +1 more source

A Comparative Study on Solving Optimization Problems With Exponentially Fewer Qubits

IEEE Transactions on Quantum Engineering
Variational quantum optimization algorithms, such as the variational quantum eigensolver (VQE) or the quantum approximate optimization algorithm (QAOA), are among the most studied quantum algorithms.
David Winderl, Nicola Franco, Jeanette Miriam Lorenz   +2 more
doaj   +1 more source

Diversifying Investments and Maximizing Sharpe Ratio: A Novel Quadratic Unconstrained Binary Optimization Formulation

Quantum Reports
The optimization of investment portfolios represents a pivotal task within the field of financial economics. Its objective is to identify asset combinations that meet specified criteria for return and risk.
Mirko Mattesi, Luca Asproni, Christian Mattia, Simone Tufano, Giacomo Ranieri, Davide Caputo, Davide Corbelletto   +6 more
doaj   +1 more source

A polynomial-time recursive algorithm for some unconstrained quadratic optimization problems

Discrete Applied Mathematics, 2011
W. Ben-Ameur, José Neto
semanticscholar   +1 more source

Quantum annealing for inverse kinematics in robotics. [PDF]

Sci Rep
Salloum H, Savin S, Kholodov Y, Ryzhakov G, Farina M, Oseledets I.   +5 more
europepmc   +1 more source

Quantum Computing for Transport Network Optimization. [PDF]

Entropy (Basel)
Ju J, Liu Z, Bai Y, Wang Y, Gao Q, Ma Y, Zheng C, Wen K.   +7 more
europepmc   +1 more source