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Computational Complexity Since 1980

机译:自1980年以来计算复杂性

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Recently, I told a long-time friend who isn't a mathematician what I was working on. His shocked reply was that that was the exact same topic I was working on my first month of graduate school, which was very close to the truth. The classical challenges that have been with us for over two decades remain. We know so much more about the questions, but so little about the answers. (Of course, I have shortchanged the genuinely new areas of complexity, such as quantum complexity, in my pursuit of links with the past.) The more we study these problems, the closer the links between them seem to grow. On the one hand, it is hard to be optimistic about our area soon solving any one of these problems, since doing so would cut through the Gordian knot and lead to progress in so many directions. It seems that randomness does not make algorithms more powerful, but that we need to prove lower bounds on circuits to establish this. On the other hand, it seems that if cryptographic assumptions hold, proving circuit lower bounds is difficult. On the other hand, it is hard to be pessimistic about an area that has produced so many fascinating and powerful ideas. It is hard to be pessimistic when every year, substantial progress on another classical complexity progress is made. There are no safe bets, but if I had to bet, I would bet on the longshots. The real progress will be made in unexpected ways, and will only be perfectly reasonable in hindsight.
机译:最近,我跟一个长期的朋友,谁是不是数学家了我的工作。他震惊的答复是,这是我的工作我的研究生院,这是非常接近真理的第一个月完全相同的话题。已经与美国超过二十年经典的挑战依然存在。我们知道这么多有关的问题,但这么少的答案。 (当然,我也缩手缩脚复杂的真正的新领域,如量子复杂性,我的追求与过去的联系。)我们研究这些问题越多,越接近它们之间的联系似乎增长。在一方面,它是很难成为我们区域很快解决这些问题的任何一个乐观的,因为这样做会穿过快刀斩乱麻,并导致如此多的方向前进英寸看来,随机性不会使算法更强大,但我们需要证明上的电路下界来建立这个。在另一方面,它看来,如果密码假设成立,证明电路下界是困难的。在另一方面,这是很难悲观已产生这么多有趣的和强大的思想的区域。这是很难的时候,每年在另一个经典的复杂性进步实质性进展作出悲观。有没有安全的赌注,但如果我打赌,我会赌远射。真正的进步会以意想不到的方式进行,并且只会在事后完全合理的。

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