Title
How many query superpositions are needed to learn?
Abstract
This paper introduces a framework for quantum exact learning via queries, the so-called quantum protocol. It is shown that usual protocols in the classical learning setting have quantum counterparts. A combinatorial notion, the general halving dimension, is also introduced. Given a quantum protocol and a target concept class, the general halving dimension provides lower and upper bounds on the number of queries that a quantum algorithm needs to learn. For usual protocols, the lower bound is also valid even if only involution oracle teachers are considered. Under some protocols, the quantum upper bound improves the classical one. The general halving dimension also approximates the query complexity of ordinary randomized learners. From these bounds we conclude that quantum devices can allow moderate improvements on the query complexity. However, any quantum polynomially query learnable concept class must be also polynomially learnable in the classical setting.
Year
DOI
Venue
2006
10.1007/11894841_10
ALT
Keywords
Field
DocType
query complexity,general halving dimension,quantum protocol,quantum device,usual protocol,so-called quantum protocol,quantum counterpart,quantum polynomially query learnable,quantum exact learning,query superpositions,quantum algorithm,lower bound,upper bound
Quantum,Superposition principle,Concept class,Computer science,Upper and lower bounds,Quantum computer,Oracle,Quantum sort,Quantum algorithm,Artificial intelligence,Machine learning
Conference
Volume
ISSN
ISBN
4264
0302-9743
3-540-46649-5
Citations 
PageRank 
References 
0
0.34
15
Authors
1
Name
Order
Citations
PageRank
Jorge Castro1343.27