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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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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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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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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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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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Optimization
In this chapter, the basics of material and form lightweight design are further deepened. In particular, approaches to the optimal dimensioning of...
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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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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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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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Tensor Train Optimization of Parameterized Quantum Circuits
We examine a particular realization of derivative-free method as implemented on tensor train based optimization to the variational quantum...
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Convex Optimization for Image Reconstruction
Convex optimization is a particular class of mathematical tool in decision sciences and in analyzing physical systems for finding a point that...
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A Global Optimization Fusion Algorithm for Correcting and Quantitatively Analyzing NaI(Tl) Gamma-Spectrum Based on Particle Swarm Optimization
AbstractTo eliminate the influence of serious spectra drift and overlap** peaks on analytical accuracy of NaI(Tl) gamma spectra, a global...
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A quantum online portfolio optimization algorithm
Portfolio optimization plays a central role in finance to obtain optimal portfolio allocations that aim to achieve certain investment goals....
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Performance optimization of dual-stage and bidirectional pumped thulium-doped fiber amplifier configuration for improved gain using multiparameter optimization algorithm
This paper demonstrated two thulium-doped fiber amplifier (TDFA) configurations, each optimized through a multiparameter optimization algorithm. The...
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Oscillator-based optimization: design, emulation, and implementation
AbstractThe emergence of digital computers has profoundly reshaped our interactions with technology and the processing of information. Despite...
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Aperture shape optimization in intensity-modulated radiation therapy planning
The gradient element of the aperture gradient map is utilized directly to generate the aperture shape without modulation. This process can be likened...
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Aerothermodynamic design optimization of planetary vehicle
The present work deals with the design optimization of different vehicle configurations for planetary entry. Choosing the aerothermodynamic...
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Empowering deep neural quantum states through efficient optimization
Computing the ground state of interacting quantum matter is a long-standing challenge, especially for complex two-dimensional systems. Recent...
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Stochastic gradient line Bayesian optimization for efficient noise-robust optimization of parameterized quantum circuits
Optimizing parameterized quantum circuits is a key routine in using near-term quantum devices. However, the existing algorithms for such optimization...
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Discrete-time quantum walk-based optimization algorithm
Optimization is a collection of principles that are used for problem solving in a vast spectrum of disciplines. Given the specifics of a problem and...
