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International Conference on Quantum, Nano and Micro Technologies (ICQNM)

Quantum Entanglement, Non-Locality and Secure Computation

Yao–Hsin Chou, I-Ming Tsai, Chin‐Shyurng Fahn, Shi‐Jinn Horng, Sy‐Yen Kuo

Published Jan 1, 2007• 1 citation
Publisher

Abstract

In this paper, we demonstrate that nanoscale phenomenon can be applied not only in device level but also in high layer applications, such as secure computation. We study the possibility of performing secure computation by building non-local machines based on quantum entanglement and non-locality, which are phenomena available only at the nanometer scale. Comparing with classical secure computation algorithms, the security of this protocol is based on physical laws, instead of any unproven mathematic conjecture.

DOI
10.1109/icqnm.2007.17

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Quantum entanglement, a fundamental phenomenon in quantum mechanics, presents a unique challenge and opportunity for computation. This paper explores the potential of utilizing entanglement as a basis for non-locality, proposing a novel modeling framework and quantum machine learning algorithms. We investigate how entanglement's inherent properties can be leveraged to model complex systems and develop algorithms that exploit this non-locality for data transfer and processing. The core claim is that this model provides a powerful approach to tackling problems beyond the capabilities of classical computation, particularly in areas requiring complex correlations and non-intuitive dynamics. We present a theoretical framework for entanglement modeling and discuss the implications of this approach for quantum machine learning.
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