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Parameter optimization in decoy-state phase-matching quantum key distribution
The phase-matching quantum key distribution (PM-QKD) protocol has been widely researched since it was proposed. In this paper, the performance of...
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Optimization parameter prediction-based XGBoost of TF-QKD
Twin-field quantum key distribution (TF-QKD) can overcome the basic limits of QKD without repeaters. In practice, TF-QKD needs to optimize all...
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Machine learning with neural networks for parameter optimization in twin-field quantum key distribution
Twin-field quantum key distribution (TF-QKD) has the advantage of beating the rate-loss limit (PLOB bound) for a repeaterless quantum key...
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Kinematic Parameter Optimization of a 3-DOF Cable-Driven Parallel Robot with a Kinodynamic Dexterity Index
AbstractThis paper focuses on the optimization of a 3-DOF cable-driven parallel robot (CDPR). In cable robots, the cables can only act in one...
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Quantum approximate optimization via learning-based adaptive optimization
Combinatorial optimization problems are ubiquitous and computationally hard to solve in general. Quantum approximate optimization algorithm (QAOA),...
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High-Fidelity and Robust Stimulated Raman Transition with Parameter-Modulated Optimal Control
High-fidelity and robust quantum control is essential for large-scale quantum information processing. The stimulated Raman transition that utilizes...
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Enhanced electron acceleration efficiency through laser and electron parameter optimization in vacuum
The laser field interacting with electrons, together with the axial magnetic field, provides a distinct opportunity to investigate particle...
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Data-driven modeling and parameter estimation of nonlinear systems
AbstractNonlinear systems play a significant role in numerous scientific and engineering disciplines, and comprehending their behavior is crucial for...
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A size effect parameter-calibrated strain gradient theory (SGT) model for vibrational analysis of the graphyne using atomistic simulations
Graphyne is one of the new carbon allotropes, and its structures have interesting mechanical, electrical, and thermal properties due to their unique...
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Quantum Bayesian inference for parameter estimation using quantum generative model
We present a quantum Bayesian inference method for model parameter estimation that uses a quantum generative model under the given training data. The...
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Parameter Optimization of Laser Cooling of Strontium Ions without a Luminescence Signal
AbstractIn the paper, we describe a method for searching for the optimal parameters of laser cooling of strontium ions without observing the...
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Optimization of terahertz broadband metamaterial absorber using a multi-level coordinate search optimization technique
In this paper, a multilevel coordinate search (MCS) optimization technique with a kriging model is employed to optimize an ultrathin broadband...
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Multi-Objective Multi-Variable Large-Size Fan Aerodynamic Optimization by Using Multi-Model Ensemble Optimization Algorithm
The constrained multi-objective multi-variable optimization of fans usually needs a great deal of computational fluid dynamics (CFD) calculations and...
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Study on pressure angle optimization for cam curve of continuous zoom system based on the particle swarm optimization
In this paper, we proposed a method for optimizing the pressure angle of the cam curve in a zoom system using Particle Swarm Optimization (PSO)...
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Optimization Problems
Several problems, for example Pontryagin’s maximum principle or the minimax problems of game theoretical approaches, require the determination of an...
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Adaptive, problem-tailored variational quantum eigensolver mitigates rough parameter landscapes and barren plateaus
Variational quantum eigensolvers (VQEs) represent a powerful class of hybrid quantum-classical algorithms for computing molecular energies. Various...
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Beam Optimization
ReliableBeam optimization beam feedbackBeam feedback is essential for operating an accelerator with stable charged particleParticle beams....
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Quantum-Assisted Open-Pit Optimization
With the recent advances in experimental realization of multi-qubit systems the idea of delegating certain real-life optimization tasks to a quantum...
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Constrained optimization via quantum Zeno dynamics
Constrained optimization problems are ubiquitous in science and industry. Quantum algorithms have shown promise in solving optimization problems, yet...
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Investigation of the Density Dependence of the Influence Parameter
In chemical engineering, interfacial properties play an important role in the design of thermal separation units and also in product design. Two...
