Difference between revisions of "Complexity Zoo:Y"
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<li>For all inputs x and advice strings s, M(x,s) outputs either the correct answer or "I don't know."</li> | <li>For all inputs x and advice strings s, M(x,s) outputs either the correct answer or "I don't know."</li> | ||
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− | Defined in a [http://www. | + | Defined in a [http://www.scottaaronson.com/blog/?p=77 recent post] of the blog [http://www.scottaaronson.com/blog/ Shtetl-Optimized]. See there for an explanation of the class's name. |
Contains [[Complexity Zoo:Z#zpp|ZPP]] by the same argument that places [[Complexity Zoo:B#bpp|BPP]] in [[Complexity Zoo:P#ppoly|P/poly]]. | Contains [[Complexity Zoo:Z#zpp|ZPP]] by the same argument that places [[Complexity Zoo:B#bpp|BPP]] in [[Complexity Zoo:P#ppoly|P/poly]]. |
Revision as of 22:49, 11 July 2013
Back to the Main Zoo - Complexity Garden - Zoo Glossary - Zoo References
Complexity classes by letter: Symbols - A - B - C - D - E - F - G - H - I - J - K - L - M - N - O - P - Q - R - S - T - U - V - W - X - Y - Z
Lists of related classes: Communication Complexity - Hierarchies - Nonuniform
YACC: Yet Another Complexity Class
A term of derision, used against a complexity class.
YP: Your Polynomial-Time or Yaroslav-Percival
The class of decision problems for which there exists a polynomial-time machine M such that:
- For all input sizes n, there exists a polynomial-size advice string sn such that M(x,sn) outputs the correct answer for all inputs x of size n.
- For all inputs x and advice strings s, M(x,s) outputs either the correct answer or "I don't know."
Defined in a recent post of the blog Shtetl-Optimized. See there for an explanation of the class's name.
Contains ZPP by the same argument that places BPP in P/poly.
Also contains P with TALLY ∩ NP ∩ coNP oracle.
Is contained in NP ∩ coNP and YPP.
YPP: Yaroslav BPP
The probabilistic analogue of YP; it is to YP what MA is to NP. Formally, the class of decision problems for which there exists a syntactic BPP machine M such that:
- For all input sizes n, there exists a polynomial-size advice string an such that for all inputs x of size n, M(x,an) outputs the correct answer with probability at least 2/3.
- For all inputs x and advice strings a, the probability that M(x,a) outputs the incorrect answer is at most 1/3. In other words, the sum of the probabilities of the correct answer and "I don't know" is at least 2/3.
To amplify a YPP machine, one can run it multiple times, then accept if a majority of runs accept, reject if a majority reject, and otherwise output "I don't know."
Contains BPP and YP, and is contained in MA and P/poly.
YQP: Yaroslav BQP
Is to YPP as BQP is to BPP, and QMA is to MA. The machine is now a quantum computer and the advice is a quantum state |ψ_n>.
Contains BQP and YPP, and is contained in QMA and BQP/qpoly.