A quantum speedup in machine learning: finding anN-bit Boolean function for a classification-Reference-Cited by-同舟云学术

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A quantum speedup in machine learning: finding anN-bit Boolean function for a classification

Published:2014-10-09 Issue:10 Volume:16 Page:103014
ISSN:1367-2630
Container-title:New Journal of Physics
language:
Short-container-title:New J. Phys.

Author:

Yoo Seokwon,Bang Jeongho,Lee Changhyoup,Lee Jinhyoung

Funder

National Research Foundation of Korea

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Link

http://stacks.iop.org/1367-2630/16/i=10/a=103014/pdf

Reference34 articles.

1. Rapid solution of problems by quantum computation

2. Quantum Mechanics Helps in Searching for a Needle in a Haystack

3. Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer

4. Quantum-Enhanced Measurements: Beating the Standard Quantum Limit

5. Advances in quantum metrology

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1. QBoost for regression problems: solving partial differential equations;Quantum Information Processing;2023-02-25

2. Variational Methods in Optical Quantum Machine Learning;IEEE Access;2023

3. MNIST quantum classification models implementation and benchmarking;PROCEEDINGS OF THE 1ST CONFERENCE ON QUANTUM SCIENCES AND TECHNOLOGY (CONQUEST 2022);2023

4. A quantum scheme of state overlap based on quantum mean estimation and support vector machine;Physica A: Statistical Mechanics and its Applications;2022-11

5. Quantum speed limits for information and coherence;New Journal of Physics;2022-06-01

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