Grover's Quantum Search Algorithm and Free Fermionic Heterotic Models
Matthew B. Robinson, Gerald B. Cleaver

TL;DR
This paper explores the potential of quantum algorithms to improve the efficiency of analyzing free fermionic heterotic models within the string theory landscape, comparing classical and quantum computational approaches.
Contribution
It provides an overview of quantum algorithms applicable to string model analysis and discusses potential improvements over classical methods.
Findings
Quantum algorithms could enhance analysis speed
Classical bounds for model generation are established
Outline of quantum algorithm structure provided
Abstract
Given an efficient and systematic method for generating input sets for free fermionic heterotic model building we consider what the realistic bounds are for a statistical analysis of the free fermionic Landscape with a classical computer. We then consider what kind of improvement could be expected on a quantum computer. We do outline the basic structure of the relevant quantum algorithms, but we do not detail the construction of the oracle which would be involved in the calculations.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Algebraic structures and combinatorial models · Quantum Information and Cryptography
