Tailoring laser pulses with spectral and fluence constraints using optimal control theory

Abstract

Within the framework of optimal control theory we develop a simple iterative scheme to determine optimal laser pulses with spectral and fluence constraints. The algorithm is applied to a one-dimensional asymmetric double well where the control target is to transfer a particle from the ground state, located in the left well, to the first excited state, located in the right well. Extremely high occupations of the first excited state are obtained for a variety of spectral and/or energetic constraints. Even for the extreme case where no resonance frequency is allowed in the pulse the algorithm achieves an occupation of almost 100%.

References in corpus (3)

• Shaped-pulse optimisation of coherent soft-x-rays
• Molecular Quantum Computing by an Optimal Control Algorithm for Unitary Transformations
• Optimal control of time-dependent targets

Cited by in corpus (13)

• Control of quantum phenomena: Past, present, and future
• Liquid State NMR as a Test-bed for Developing Quantum Control Methods
• Exploring constrained quantum control landscapes
• Monotonically convergent optimal control theory of quantum systems with spectral constraints on the control field
• Montonic convergent optimal control theory to modulate bandwidth limited laser pulses in linear and non-linear optical processes
• Optimization Schemes for Selective Molecular Cleavage with Tailored Ultrashort Laser Pulses
• Searching for quantum optimal controls under severe constraints
• Optimal control under spectral constraints: Enforcing multi-photon absorption pathways
• Ultrafast sequential charge transfer in a double quantum dot
• Optical Control of Entangled States in Quantum Wells
• Time optimization and state-dependent constraints in the quantum optimal control of molecular orientation
• Optimal control of quantum revival
• Optimal Control of charge transfer