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Quantum versus Classical Learnability (2000)  (Make Corrections)  (1 citation)
Rocco A. Servedio, Steven J. Gortler
SCT: Annual Conference on Structure in Complexity Theory



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Abstract: This paper studies fundamental questions in computational learning theory from a quantum computation perspective. We consider quantum versions of two well-studied classical learning models: Angluin's model of exact learning from membership queries and Valiant's Probably Approximately Correct (PAC) model of learning from random examples. We give positive and negative results for quantum versus classical learnability. For each of the two learning models described above, we show that any concept... (Update)

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BibTeX entry:   (Update)

R. A. Servedio and S. J. Gortler, "Quantum versus classical learnability", in Proceedings of the 16th Annual IEEE Conference on Computational Complexity, Chicago, IL, 18--21 June 2001. http://citeseer.ist.psu.edu/article/servedio00quantum.html   More

@inproceedings{ servedio01quantum,
    author = "Servedio and Gortler",
    title = "Quantum versus Classical Learnability",
    booktitle = "{SCT}: Annual Conference on Structure in Complexity Theory",
    year = "2001",
    url = "citeseer.ist.psu.edu/article/servedio00quantum.html" }
Citations (may not include all citations):
537   A theory of the learnable (context) - Valiant - 1984
465   Learnability and the Vapnik-Chervonenkis Dimension (context) - Blumer, Ehrenfeucht et al. - 1989
454   the uniform convergence of relative frequencies of events to.. (context) - Vapnik, Chervonenkis - 1971
441   Queries and concept learning (context) - Angluin - 1988
248   An Introduction to Computational Learning Theory (context) - Kearns, Vazirani - 1994
210   A fast quantum mechanical algorithm for database search - Grover - 1996
184   Cryptographic limitations on learning boolean formulae and n.. - Kearns, Valiant - 1994
173   Quantum complexity theory - Bernstein, Vazirani - 1997
164   Polynomial-time algorithms for prime factorization and discr.. - Shor - 1997
151   A general lower bound on the number of examples needed for l.. (context) - Ehrenfeucht, Haussler et al. - 1989
144   the power of quantum computation - Simon - 1997
126   Rapid solution of problems by quantum computation (context) - Deutsch, Jozsa - 1992
102   Strengths and weaknesses of quantum computing - Bennett, Bernstein et al. - 1997
97   Introduction to Coding Theory (context) - Van Lint - 1992
85   Quantum circuit complexity - Yao - 1993
82   When won't membership queries help (context) - Angluin, Kharitonov - 1995
73   Tight bounds on quantum searching - Boyer, Brassard et al. - 1998
49   Quantum lower bounds by polynomials - Beals, Buhrman et al.
46   An exact quantum polynomial-time algorithm for Simon's probl.. - Brassard, yer - 1997
42   Computational Learning Theory: an Introduction (context) - Anthony, Biggs - 1997
36   How many queries are needed to learn - Hellerstein, Pillaipakkamnatt et al. - 1996
36   Complexity limitations on quantum computation - Fortnow, Rogers - 1998
32   An oracle builder's toolkit - Fenner, Fortnow et al. - 1993
30   Quantum counting - Brassard, yer et al. - 1998
29   classical communication and computation (context) - Buhrman, Cleve et al.
21   Grover's quantum searching algorithm is optimal (context) - Zalka
16   Oracles and queries that are sucient for exact learning (context) - Bshouty, Cleve et al. - 1996
14   Learning DNF over the uniform distribution using a quantum e.. - Bshouty, Jackson - 1999
11   An introduction to quantum complexity theory (context) - Cleve
11   Matrix Theory: a second course (context) - Ortega - 1987
7   The complexity of learning with queries (context) - Gavald - 1994
6   Generalized teaching dimensions and the query complexity of .. (context) - Hegedus

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