Aharonov–Jones–Landau algorithm
In computer science, the 'Aharonov-Jones-Landau algorithm is an efficient quantum algorithm for obtaining an additive approximation of the Jones polynomial of a given link at an arbitrary root of unity. It should be noted that finding a multiplicative approximation is a #P-hard problem [1], so a better approximation is considered unlikely. However, it is known that an additive approximation of the Jones polynomial is BQP-complete[2].
The Markov trace
The first idea behind the algorithm is to find a more tractable description for the operation of evaluating the Jones polynomial. This is done by means of the Markov trace.
The 'Markov trace' is a trace operator defined on the Temperley-Lieb algebra as such: given a which has a unique Kauffman diagram let where is the number of loops attained by identifying each point in the bottom of 's Kauffman diagram with the corresponding point on top. This extends linearly to all of .
The Markov trace is a trace operator in the sense that and for any . It also has the additional property that if is a Kauffman diagram whose rightmost strand goes straight up then .
A useful fact exploited by the AJL algorithm is that the Markov trace is the unique trace operator on with that property[3].
Representing in
For a complex number we define the map via . It follows by direct calculation that if satisfies that then $\rho_A$ is a representation.
Given a braind let $B^{tr}$ be the link attained by identifying the bottom of the diagram with its top like in the definition of a Markov trace, and let be the result link's Jones polynomial. The following relation holds:
where is the writhe. As the writhe can be easily calculated classically, this reduces the problem of approximating the Jones polynomial to that of approximating the Markov trace.
The path model representation of
A quantum version
The algorithm
Notes
- ^ Kuperberg, Greg (2009). "How hard is it to approximate the Jones polynomial?". arXiv:0908.0512 [quant-ph].
- ^ Freedman, Michael; Larsen, Michael; Wang, Zhenghan (2000). "A modular functor which is universal for quantum computation". arXiv:quant-ph/0001108.
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ignored (help) - ^ Jones, V.F.R (1983). "Index for subfactors". Invent Math. 1 (72). doi:10.1007/BF01389127.