Quantum Homomorphic Computation Geometric Optimization

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum Homomorphic Computation (QHC) offers a fundamentally new approach to computation, leveraging the power of quantum mechanics to perform computations on encrypted data without decryption. This paper explores the application of geometric optimization to QHC, proposing a novel framework for enhancing the efficiency of hidden computation. We argue that traditional optimization methods often fall short in the complex, multi-dimensional space inherent to QHC, and that geometric optimization provides a crucial step towards achieving significant performance improvements. Our work demonstrates the potential of this approach through a rigorous analysis and preliminary results, highlighting its implications for future advancements in secure and efficient computation.

DOI: 10.5281/zenodo.22246436

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