@inproceedings{e3f6eb61604b40e9a08ecd40c1132a7c,
title = "Nested local adiabatic evolution for quantum-neuron-based adaptive support vector regression and its application",
abstract = "Instead of traditionally (globally) adiabatic evolution algorithm for unstructured search, we focus on the structured adiabatic quantum search by nesting a partial search over a reduced set of variables into a global search for solving an optimization problem on adaptive support vector regression (ASVR) yielding an average complexity of order √Na, with α < 1, compared with a quadratic speedup of order √N over a naive Grover's search.",
author = "Chang, {Bao Rong} and Young, {Chung Ping} and Tsai, {Hsiu Fen} and Chen, {Shi Huang} and Chen, {Yu Chang} and Tseng, {Yu Kuo}",
year = "2007",
month = jan,
day = "1",
doi = "10.1109/ICICIC.2007.410",
language = "English",
isbn = "0769528821",
series = "Second International Conference on Innovative Computing, Information and Control, ICICIC 2007",
publisher = "IEEE Computer Society",
booktitle = "Second International Conference on Innovative Computing, Information and Control, ICICIC 2007",
address = "United States",
note = "2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 ; Conference date: 05-09-2007 Through 07-09-2007",
}