Quantum Algorithms for Unit Group and principal ideal problem
Hong Wang, Zhi Ma

TL;DR
This paper introduces efficient quantum algorithms for computing the unit group and solving the principal ideal problem in constant-degree number fields, improving upon previous methods by using a novel period function and lattice basis computation.
Contribution
It presents new quantum algorithms that enhance existing solutions for algebraic number theory problems, especially with non-one-to-one period functions and lattice basis determination.
Findings
Quantum algorithms outperform classical methods in specific tasks
New period function approach improves algorithm efficiency
Method for lattice basis computation from encoded lattice data
Abstract
Computing the unit group and solving the principal ideal problem for a number field are two of the main tasks in computational algebraic number theory. This paper proposes efficient quantum algorithms for these two problems when the number field has constant degree. We improve these algorithms proposed by Hallgren by using a period function which is not one-to-one on its fundamental period. Furthermore, given access to a function which encodes the lattice, a new method to compute the basis of an unknown real-valued lattice is presented.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Polynomial and algebraic computation · Cryptography and Data Security
