Stabilizer Approximation
Xinying Li, Jianan Wang, Chuixiong Wu, and Fen Zuo

TL;DR
This paper introduces a heuristic stabilizer-based method to approximate the ground state of qubit Hamiltonians, providing potential initial states for quantum computations and highlighting the need for further evaluation of its efficiency and scalability.
Contribution
A novel heuristic approach using stabilizer formalism to approximate ground states of qubit Hamiltonians for quantum computing applications.
Findings
Proposes a stabilizer-based heuristic for ground state approximation
Suggests the method as a starting point for refined quantum computations
Highlights the potential scalability and efficiency of the approach
Abstract
We propose a heuristic method to obtain the approximate groundstate for a Hamiltonian in the qubit form, based on the stabilizer formalism. These states may serve as proper initial states for further refined computation. It would be interesting to assess the efficiency and scalability of the method.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Matrix Theory and Algorithms · Quantum Information and Cryptography
