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The reliable and precise generation of quantum unitary transformations is essential to the realization of a number of fundamental objectives, such as quantum control and quantum information processing. Prior work has explored the optimal…

量子物理 · 物理学 2010-07-21 Michael Hsieh , Rebing Wu , Herschel Rabitz , Daniel Lidar

The control of quantum system dynamics is generally performed by seeking a suitable applied field. The physical objective as a functional of the field forms the quantum control landscape, whose topology, under certain conditions, has been…

量子物理 · 物理学 2014-11-11 Arun Nanduri , Ofer M. Shir , Ashley Donovan , Tak-San Ho , Herschel Rabitz

Quantum optimal control experiments and simulations have successfully manipulated the dynamics of systems ranging from atoms to biomolecules. Surprisingly, these collective works indicate that the effort (i.e., the number of algorithmic…

量子物理 · 物理学 2013-05-29 Katharine W. Moore , Herschel Rabitz

There has been great interest in recent years in quantum control landscapes. Given an objective $J$ that depends on a control field $\varepsilon$ the dynamical landscape is defined by the properties of the Hessian $\delta^2…

量子物理 · 物理学 2015-08-25 Alexander N. Pechen , David J. Tannor

We present a comprehensive analysis of the landscape for full quantum-quantum control associated with the expectation value of an arbitrary observable of one quantum system controlled by another quantum system. It is shown that such full…

量子物理 · 物理学 2016-12-14 Qiuyang Sun , Re-Bing Wu , Tak-San Ho , Herschel Rabitz

A common goal of quantum control is to maximize a physical observable through the application of a tailored field. The observable value as a function of the field constitutes a quantum control landscape. Previous works have shown, under…

量子物理 · 物理学 2014-03-20 Arun Nanduri , Ashley Donovan , Tak-San Ho , Herschel Rabitz

The success of quantum optimal control for both experimental and theoretical objectives is connected to the topology of the corresponding control landscapes, which are free from local traps if three conditions are met: (1) the quantum…

Optimal control theory is usually formulated as an indirect method requiring the solution of a two-point boundary value problem. Practically, the solution is obtained by iterative forward and backward propagation of quantum wavepackets.…

量子物理 · 物理学 2020-10-09 Alejandro R. Ramos Ramos , Oliver Kühn

A common goal in the sciences is optimization of an objective function by selecting control variables such that a desired outcome is achieved. This scenario can be expressed in terms of a control landscape of an objective considered as a…

量子物理 · 物理学 2017-02-08 Benjamin Russell , Herschel Rabitz

We establish three tractable, jointly sufficient conditions for the control landscapes of non-linear control systems to be trap free comparable to those now well known in quantum control. In particular, our results encompass end-point…

最优化与控制 · 数学 2018-08-01 Benjamin Russell , Shanon Vuglar , Herschel Rabitz

A proof that almost all quantum systems have trap free (that is, free from local optima) landscapes is presented for a large and physically general class of quantum system. This result offers an explanation for why gradient methods succeed…

量子物理 · 物理学 2016-11-14 Benjamin Russell , Herschel Rabitz , Rebing Wu

The core problem in optimal control theory applied to quantum systems is to determine the temporal shape of an applied field in order to maximize the expectation of value of some physical observable. The functional which maps the control…

量子物理 · 物理学 2019-01-10 Martín Larocca , Pablo Poggi , Diego Wisniacki

In this paper we study the controllability problem for a symmetric-top molecule, both for its classical and quantum rotational dynamics. The molecule is controlled through three orthogonal electric fields interacting with its electric…

数学物理 · 物理学 2021-09-20 Ugo Boscain , Eugenio Pozzoli , Mario Sigalotti

The growing successes in performing quantum control experiments motivated the development of control landscape analysis as a basis to explain these findings.When a quantum system is controlled by an electromagnetic field, the observable as…

量子物理 · 物理学 2016-08-07 Qiuyang Sun , István Pelczer , Gregory Riviello , Re-Bing Wu , Herschel Rabitz

The control of quantum systems has been proven to possess trap-free optimization landscapes under the satisfaction of proper assumptions. However, many details of the landscape geometry and their influence on search efficiency still need to…

量子物理 · 物理学 2024-09-27 Yidian Fan , Re-Bing Wu , Tak-San Ho , Gaurav V. Bhole , Herschel Rabitz

The broad success of optimally controlling quantum systems with external fields has been attributed to the favorable topology of the underlying control landscape, where the landscape is the physical observable as a function of the controls.…

量子物理 · 物理学 2015-06-03 Katharine W. Moore , Herschel Rabitz

A quantum control landscape is defined as the objective to be optimized as a function of the control variables. Existing empirical and theoretical studies reveal that most realistic quantum control landscapes are generally devoid of false…

量子物理 · 物理学 2013-04-01 Rebing Wu , Jason Dominy , Tak-San Ho , Herschel Rabitz

This review investigates the landscapes of prevalent hybrid quantum-classical optimization algorithms in many rapidly developing quantum technologies, where the objective function is either computed by a natural quantum system or a quantum…

量子物理 · 物理学 2022-04-12 Xiaozhen Ge , Re-Bing Wu , Herschel Rabitz

Genetic algorithms, as implemented in optimal control strategies, are currently successfully exploited in a wide range of problems in molecular physics. In this context, laser control of molecular alignment and orientation remains a very…

化学物理 · 物理学 2007-05-23 O. Atabek , C. M. Dion

A quantum control landscape is defined as the observable as a function(al) of the system control variables. Such landscapes were introduced to provide a basis to understand the increasing number of successful experiments controlling quantum…

量子物理 · 物理学 2009-05-04 Rebing Wu , Alexander Pechen , Herschel Rabitz , Michael Hsieh , Benjamin Tsou
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