| 0:00:04 | and variable |
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| 0:00:06 | in this |
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| 0:00:07 | we have one phonetics |
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| 0:00:12 | you just the case that is a weeping or and you like being letters |
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| 0:00:20 | the joint work |
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| 0:00:22 | between unity |
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| 0:00:23 | all t |
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| 0:00:25 | and |
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| 0:00:28 | let us begin by describing i believe that is |
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| 0:00:33 | it can of this slide |
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| 0:00:36 | we have then |
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| 0:00:38 | right |
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| 0:00:39 | i really |
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| 0:00:41 | the red fine |
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| 0:00:42 | by green ones |
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| 0:00:44 | and right |
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| 0:00:46 | the thing |
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| 0:00:48 | all over time |
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| 0:00:50 | from each red fine when everything green fine |
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| 0:00:55 | and then manually |
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| 0:00:58 | and with that's dynamos |
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| 0:01:02 | and we can on yes no but i guess |
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| 0:01:06 | there are many stories are given that |
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| 0:01:10 | but we show all test utterance is goal are only about and quantity or l |
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| 0:01:17 | and r t |
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| 0:01:21 | maybe i we see on ladders |
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| 0:01:26 | but for men to |
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| 0:01:29 | so one the is usually difficult to have |
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| 0:01:33 | and we can see for this to the latter wer by increasing the number right |
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| 0:01:40 | we'll and in a you |
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| 0:01:44 | the density matrix for a or b d are and |
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| 0:01:49 | by this difficulty |
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| 0:01:52 | but using a regression approach |
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| 0:01:56 | to express the one time state equation |
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| 0:02:00 | more importantly |
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| 0:02:02 | we show |
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| 0:02:03 | the recursion relation exists |
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| 0:02:06 | for that you met this is all |
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| 0:02:09 | you that recursion relations |
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| 0:02:13 | to find the chain model by and woman lower regions |
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| 0:02:19 | i met your quantity |
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| 0:02:22 | it should be genuinely money back in time |
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| 0:02:26 | it is and angle error |
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| 0:02:29 | every partition of the system in part |
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| 0:02:34 | to measure the content gently modified entanglement |
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| 0:02:38 | you the general like you met treatment for |
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| 0:02:42 | or e g m |
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| 0:02:45 | we are ready to show how the mri and why in a situation |
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| 0:02:53 | in the literature |
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| 0:02:54 | it is predicted that even like letters |
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| 0:02:57 | i different from all models |
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| 0:03:00 | in the |
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| 0:03:03 | using d n i in |
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| 0:03:05 | we evaluate and compare the g and four categories one than others |
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| 0:03:13 | we find |
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| 0:03:15 | that for you like levels |
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| 0:03:17 | the g n |
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| 0:03:19 | what one clearly decreases with the tuition |
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| 0:03:23 | it does exactly the all data for only one |
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| 0:03:28 | we will have a complementary q u o g n |
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| 0:03:33 | in the |
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| 0:03:34 | okay |
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| 0:03:35 | the for that is able to distinguish between these two |
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| 0:03:44 | thank you will be doing this |
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