Speeding up particle slowing using shortcuts to adiabaticity

Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe

“…Such studies focus on the fast and robust transfer in a Su-Schrieffer-Heeger chain of quantum systems [164], fast and accurate adiabatic quantum computing [284,285], the control of Bose-Einstein condensates [135,663], applications in quantum thermodynamics [1,240,278], the generation of quantum gates [323,453,607,634], the experimental initialization of spin dressed states [344] for optimal control procedures. In view of the development of quantum technologies, this also includes, among others, the robust preparation of non-classical states [3,138] as well as many-body states [117], the slowing down of particles by laser fields [54], the propagation of matter waves in curved geometry [301], the manipulation of two coupled Harmonic oscillators [566], the control of multi-level quantum systems [164,382,592] and the displacement of a trapped ion [29]. STA has been combined with machine learning techniques in [50] to speed up the quantum perceptron, a fundamental building block for quantum machine learning.…”

Efficient 2D molasses cooling of a cesium beam using a blue detuned top-hat beam

“…In square black is the collimation efficiency (left axis) versus the laser power. The black exponential is guide for the eye ulated or adiabatic type of cooling (see [46][47][48][49][50][51][52] and references therein). Therefore, experimental comparison with these methods would be interesting to be performed to compare efficiencies and adding a magnetic compression before or after the cooling stage can also improve further the performances.…”

Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe

“…Such studies focus on the fast and robust transfer in a Su-Schrieffer-Heeger chain of quantum systems [160], fast and accurate adiabatic quantum computing [280,281], the control of Bose-Einstein condensates [133,657], applications in quantum thermodynamics [2,236,274], the generation of quantum gates [319,449,601,628], the experimental initialization of spin dressed states [340] for optimal control procedures. In view of the development of quantum technologies, this also includes, among others, the robust preparation of non-classical states [3,135] as well as many-body states [114], the slowing down of particles by laser fields [51], the propagation of matter waves in curved geometry [297], the manipulation of two coupled Harmonic oscillators [560], the control of multi-level quantum systems [160,378,586] and the displacement of a trapped ion [26]. STA has been combined with machine learning techniques in [47] to speed up the quantum perceptron, a fundamental building block for quantum machine learning.…”