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Trapped Ion Quantum Computing Superconducting Qubits

A powered full quantum eigensolver for energy band structures

arXiv
Authors: Bozhi Wang, Jingwei Wen, Jiawei Wu, Haonan Xie, Fan Yang, Shijie Wei, Gui-lu Long

Year

2023

Paper ID

56039

Status

Preprint

Abstract Read

~2 min

Abstract Words

150

Citations

N/A

Abstract

There has been an increasing research focus on quantum algorithms for condensed matter systems recently, particularly on calculating energy band structures. Here, we propose a quantum algorithm, the powered full quantum eigensolver(P-FQE), by using the exponentiation of operators of the full quantum eigensolver(FQE). This leads to an exponential increase in the success probability of measuring the target state in certain circumstances where the number of generating elements involved in the exponentiation of operators exhibit a log polynomial dependence on the number of orbitals. Furthermore, we conduct numerical calculations for band structure determination of the twisted double-layer graphene. We experimentally demonstrate the feasibility and robustness of the P-FQE algorithm using superconducting quantum computers for graphene and Weyl semimetal. One significant advantage of our algorithm is its ability to reduce the requirements of extremely high-performance hardware, making it more suitable for energy spectra determination on noisy intermediate-scale quantum (NISQ) devices.

Why This Paper Matters

  • This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
  • It adds a 2023 reference point for readers tracking recent quantum research.
  • There has been an increasing research focus on quantum algorithms for condensed matter systems recently, particularly on calculating energy band structures.

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