Excitation of Biomolecules by Coherent vs. Incoherent Light: Model Rhodopsin Photoisomerization

AbstractLight-induced processes in biological molecules, which occur naturally in continuous incoherent light, are often studied using pulsed coherent light sources. With a focus on timescales, the relationship between excitation due to these two types of light sources is examined through a uniform minimal model of the photoisomerization of retinal in rhodopsin, induced by either coherent laser light or low level incoherent light (e.g. moonlight). Realistic timescales for both processes are obtained and a kinetic scheme involving rates for both coherent and incoherent light excitation is introduced, placing all timescales into a uniform framework. The rate limiting step in the natural light-absorption process is shown to be the low incoherent photon flux

Mechanisms in Adaptive Feedback Control: Photoisomerization in a Liquid

The underlying mechanism for Adaptive Feedback Control in the experimental photoisomerization of NK88 in methanol is exposed theoretically. With given laboratory limitations on laser output, the complicated electric fields are shown to achieve their targets in qualitatively simple ways. Further, control over the cis population without laser limitations reveals an incoherent pump-dump scenario as the optimal isomerization strategy. In neither case are there substantial contributions from quantum multiple-path interference or from nuclear wavepacket coherence. Environmentally induced decoherence is shown to justify the use of a simplified theoretical model.Comment: 10 pages, 3 figures, to be published in Phys. Rev. Let

Quantum control of molecular handedness in a randomly oriented racemic mixture using three polarization components of electric fields

科研費報告書収録論文(課題番号:13640497・基盤研究(C)(2) ・H13～H14/研究代表者:藤村, 勇一/光化学異性化反応の量子制御

Mechanism of unidirectional motions of chiral molecular motors driven by linearly polarized pulses

科研費報告書収録論文(課題番号:15550002・基盤研究(C)(2)・15～16/研究代表者:藤村, 勇一/光駆動分子モーターの量子制御

Monte-Carlo Simulation Adjusting

In this paper, we propose a new learning method sim- ulation adjusting that adjusts simulation policy to im- prove the move decisions of the Monte Carlo method. We demonstrated simulation adjusting for 4 × 4 board Go problems. We observed that the rate of correct an- swers moderately increased