Optimal control of coupled spin dynamics under cross-correlated relaxation

Author(s):  
N. Khaneja ◽  
S. Glaser
2005 ◽  
Vol 172 (2) ◽  
pp. 296-305 ◽  
Author(s):  
Navin Khaneja ◽  
Timo Reiss ◽  
Cindie Kehlet ◽  
Thomas Schulte-Herbrüggen ◽  
Steffen J. Glaser

2006 ◽  
Vol 35 (3) ◽  
pp. 443-474 ◽  
Author(s):  
G. Dirr ◽  
U. helmke ◽  
K. Hüper ◽  
M. Kleinsteuber ◽  
Y. Liu

Author(s):  
Navin Khaneja

In this paper, we study some control problems related to the control of coupled spin dynamics in the presence of relaxation and decoherence in nuclear magnetic resonance spectroscopy. The decoherence is modelled through a master equation. We study some model problems, whereby, through an appropriate choice of state variables, the system is reduced to a control system, where the state enters linearly and controls quadratically. We study this quadratic control system. Study of this system gives us explicit bounds on how close a coupled spin system can be driven to its target state and how much coherence and polarization can be transferred between coupled spins. Optimal control for the quadratic control system can be understood as the separation of closed cones, and we show how the derived results on optimal efficiency can be interpreted in this formulation. Finally, we study some finite-time optimal control problems for the quadratic control system. This article is part of the themed issue ‘Horizons of cybernetical physics’.


Entropy ◽  
2021 ◽  
Vol 23 (1) ◽  
pp. 84
Author(s):  
Qi Zhang ◽  
Xi Chen ◽  
David Guéry-Odelin

We consider fast high-fidelity quantum control by using a shortcut to adiabaticity (STA) technique and optimal control theory (OCT). Three specific examples, including expansion of cold atoms from the harmonic trap, atomic transport by moving harmonic trap, and spin dynamics in the presence of dissipation, are explicitly detailed. Using OCT as a qualitative guide, we demonstrate how STA protocols designed from inverse engineering method can approach with very high precision optimal solutions built about physical constraints, by a proper choice of the interpolation function and with a very reduced number of adjustable parameters.


2003 ◽  
Vol 162 (2) ◽  
pp. 311-319 ◽  
Author(s):  
Navin Khaneja ◽  
Timo Reiss ◽  
Burkhard Luy ◽  
Steffen J. Glaser

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