Optimal dynamic discrimination of similar molecules through quantum learning control

Journal of Physical Chemistry B

Volumn 106, Issue 33, 2002, Pages 8125-8131

  Li, Baiqing ^a   Turinici, Gabriel ^b   Ramakrishna, Viswanath ^c   Rabitz, Herschel ^a  

^a PRINCETON UNIVERSITY   (United States)

^b INRIA ROCQUENCOURT   (France)

^c UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; GENETIC ALGORITHMS; LASER PULSES; LEARNING ALGORITHMS; MIXTURES; OPTIMAL CONTROL SYSTEMS; QUANTUM THEORY; SIGNAL DETECTION; SIGNAL INTERFERENCE; SPURIOUS SIGNAL NOISE;

OPTIMAL DYNAMIC DISCRIMINATION (ODD); QUANTUM SYSTEMS;

MOLECULAR DYNAMICS;

EID: 0037158946     PISSN: 10895647     EISSN: None     Source Type: Journal    
DOI: 10.1021/jp0204657     Document Type: Article

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21. The source code of the genetic algorithm software package, GALib, used in the simulations is available at http:#lancet.mit.edu/ga/.
22. A = - 0.1.
23. B = - 0.1002.
24. The percentage discrimination is defined as the actually achieved maximum of J divided by the possibly achievable maximum of J, which can be calculated using eqs 13 and 15.
25. B = 5.9865. The other variables are the same as in ref 23.
26. B = 5.99. The other variables are the same as in ref 23.
27. A = 0.074.
28. Zhang, H.; Rabitz, H. unpublished, 1994.