{ "id": "1408.6801", "version": "v1", "published": "2014-08-27T07:19:52.000Z", "updated": "2014-08-27T07:19:52.000Z", "title": "Optimal control theory with arbitrary superpositions of waveforms", "authors": [ "Selina Meister", "Jürgen T. Stockburger", "Rebecca Schmidt", "Joachim Ankerhold" ], "comment": "14 pages, 5 figures", "categories": [ "math.OC", "cs.SY", "quant-ph" ], "abstract": "Standard optimal control methods perform optimization in the time domain. However, many experimental settings demand the expression of the control signal as a superposition of given waveforms. Since this type of constraint is not time-local, Optimal Control Theory cannot be used without modifications. Simplex methods, used as a substitute in this case, tend to be less efficient and less reliable than Optimal Control Theory. In this paper, we present an extension to Optimal Control Theory which allows gradient-based optimization for superpositions of arbitrary waveforms. Its key is the use of the Moore-Penrose pseudoinverse as an efficient means of transforming from a time-local to a waveform-based description. To illustrate this optimization technique, we study the parametrically driven harmonic oscillator as model system and reduce its energy, considering both Hamiltonian dynamics and open-system dynamics. We demonstrate the viability and efficiency of the method for these test cases.", "revisions": [ { "version": "v1", "updated": "2014-08-27T07:19:52.000Z" } ], "analyses": { "keywords": [ "optimal control theory", "arbitrary superpositions", "optimal control methods perform optimization", "standard optimal control methods perform", "experimental settings demand" ], "tags": [ "journal article" ], "publication": { "doi": "10.1088/1751-8113/47/49/495002", "journal": "Journal of Physics A Mathematical General", "year": 2014, "month": "Dec", "volume": 47, "number": 49, "pages": 495002 }, "note": { "typesetting": "TeX", "pages": 14, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2014JPhA...47W5002M" } } }