0:00:08 | if you look on information sciences really seen tremendous progress over the last several years |
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0:00:12 | with the shift of emphasis in the community from principal demonstrations of quite incoherent phenomena |
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0:00:16 | to it and attempt to tackle heart engineering challenges associated with producing robust and hopefully |
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0:00:22 | useful quantum systems |
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0:00:24 | a major challenge are community is the accumulation of error nudity coherence or general loss |
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0:00:29 | of one and s from unwanted environmental fluctuations there are a variety of error models |
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0:00:34 | that have been developed in order to account for this but all of them really |
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0:00:36 | small sure in that they fail to adequately address the dominant forms of error and |
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0:00:41 | of noise that occur realistic laboratory settings |
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0:00:45 | work builds on recent effort in the last several years incorporating transfer functions which are |
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0:00:50 | common engineering into the vernacular of quantum control |
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0:00:53 | we expand and generalize the so-called delta function framework allowing us to analytically calculate spectral |
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0:00:58 | functions for arbitrary piecewise constant can control in the presence of universal time dependent noise |
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0:01:05 | now in this framework were able to effectively reduce the challenge of calculating or susceptibility |
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0:01:10 | in complex algorithms a modulating gate i to the relatively straightforward problem of calculating a |
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0:01:17 | spectral filter function |
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0:01:19 | this is an experimentally validated technique that's been shown useful in a wide variety of |
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0:01:24 | technological platforms and accordingly we really hope it will prove useful in one control quantum |
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0:01:29 | information science experiments |
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