TRAVOLTA: GPU acceleration and algorithmic improvements for constructing quantum optimal control fields in photo-excited systems

Rodríguez-Borbón, José M.; Wang, Xian; Diéguez, Adrián P.; Ibrahim, Khaled Z.; Wong, Bryan M.

doi:10.1016/j.cpc.2023.109017

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…An online version is also available. − Travolta: An open-source software for parallelized QOC computations in photo-excited systems using gradientbased algorithms [231]. A CPU-based version of the code, called NIC-CAGE, is also available [232].…”

Section: A General Overview Of Standard Optimization Algorithmsmentioning

confidence: 99%

Introduction to theoretical and experimental aspects of quantum optimal control

Ansel,

Dionis,

Arrouas

et al. 2024

J. Phys. B: At. Mol. Opt. Phys.

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Quantum optimal control is a set of methods for designing time-varying electromagnetic fields to perform operations in quantum technologies. This tutorial paper introduces the basic elements of this theory based on the Pontryagin maximum principle, in a physicist-friendly way. An analogy with classical Lagrangian and Hamiltonian mechanics is proposed to present the main results used in this field. Emphasis is placed on the different numerical algorithms to solve a quantum optimal control problem. Several examples ranging from the control of two-level quantum systems to that of Bose-Einstein Condensates (BEC) in a one-dimensional optical lattice are studied in detail, using both analytical and numerical methods. Codes based on shooting method and gradient-based algorithms are provided. The connection between optimal processes and the quantum speed limit is also discussed in two-level quantum systems. In the case of BEC, the experimental implementation of optimal control protocols is described, both for two-level and many-level cases, with the current constraints and limitations of such platforms. This presentation is illustrated by the corresponding experimental results.

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Section: A General Overview Of Standard Optimization Algorithmsmentioning

confidence: 99%

Introduction to theoretical and experimental aspects of quantum optimal control

Ansel,

Dionis,

Arrouas

et al. 2024

J. Phys. B: At. Mol. Opt. Phys.

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“…Therefore, by using this predictive tool, both theorists and experimentalists may be able to better understand and regulate the dynamics of photo-excited systems. José et al [29] evaluated the effectiveness of three distinct GPU parallelization approaches in creating the best possible control fields for a range of quantum systems. Large quantum optimal control calculations are made possible by their GPU advancements and algorithmic advances, which can be performed regularly and efficiently on current multi-core computing systems…”

Section: Introductionmentioning

confidence: 99%

A vibration analysis of the permanent magnet synchronous motor under the effect of proportional derivative control

Bauomy,

Amer,

Elsayed

et al. 2024

Phys. Scr.

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One of the drawbacks of the electric motor is that it starts overheating after a short time. The reason can be associated with oscillating vibration, so the present study uses a proportional derivative control (PD control) to show the extent to which the Permanent magnet synchronous motor (PMSM) can be effective.The external force is the component of the non-linear dynamical system. The equation of the (PMSM) system is explained with two-degree-of-freedom (2dof) differential coupled equations, consisting of the major body (motor current) and the cutting drive system. The present study uses the approximate method of multiple scales perturbation technique (MSPT) to get an approximate solution, showing the response equation before using (PD) and to achieve the highest effect on the control system so as to ensure the highest efficiency at the lowest possible cost. Different numerical tests have been conducted (NPDCVF, NVC, PPF, PD, delay velocity) and showed that (PD) has the best effect and is able to control the vibrations with more accuracy than others. Then, the vibration value of the system has been studied numerically before and after applying the control method of (MSPT). By combining the analysis of the resonance situation via both the phase plane techniques and the frequency response equation    1  2,  2  , within the utilization of Runge-Kutta of the fourth-order, the stability of the numerical solution has been investigated. Then, by employing the MATLAB tool, the impact of various parameters on model performance has been examined numerically. Lastly, a comparison with earlier research is done.

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Enhancing Solar Convection Analysis With Multi‐Core Processors and GPUs

Heidari,

Amiri,

Jamali

et al. 2024

Engineering Reports

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In the realm of astrophysical numerical calculations, the demand for enhanced computing power is imperative. The time‐consuming nature of calculations, particularly in the domain of solar convection, poses a significant challenge for Astrophysicists seeking to analyze new data efficiently. Because they let different kinds of data be worked on separately, parallel algorithms are a good way to speed up this kind of work. A lot of this study is about how to use both multi‐core computers and GPUs to do math work about solar energy at the same time. Cutting down on the time it takes to work with data is the main goal. This way, new data can be looked at more quickly and without having to practice for a long time. It works well when you do things in parallel, especially when you use GPUs for 3D tasks, which speeds up the work a lot. This is proof of how important it is to adjust the parallelization methods based on the size of the numbers. But for 2D math, computers with more than one core work better. The results not only fix bugs in models of solar convection, but they also show that speed changes a little based on the gear and how it is processed.

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TRAVOLTA: GPU acceleration and algorithmic improvements for constructing quantum optimal control fields in photo-excited systems

Cited by 5 publications

References 25 publications

Introduction to theoretical and experimental aspects of quantum optimal control

Introduction to theoretical and experimental aspects of quantum optimal control

A vibration analysis of the permanent magnet synchronous motor under the effect of proportional derivative control

Enhancing Solar Convection Analysis With Multi‐Core Processors and GPUs

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