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Trapped Ion Quantum Computing Superconducting Qubits

Feedforward Quantum Singular Value Transformation

arXiv
Authors: Yulong Dong, Dong An, Murphy Yuezhen Niu

Year

2024

Paper ID

64256

Status

Preprint

Abstract Read

~2 min

Abstract Words

109

Citations

N/A

Abstract

In this paper, we introduce a major advancement in Quantum Singular Value Transformation (QSVT) through the development of Feedforward QSVT (FQSVT), a framework that significantly enhances the efficiency and robustness of quantum algorithm design. By leveraging intermediate measurements and feedforward operations, FQSVTs reclaim quantum information typically discarded in conventional QSVT, enabling more efficient transformations. Our results show that FQSVTs can exponentially accelerate the projection of quantum states onto energy subspaces, outperforming probabilistic projection and adiabatic algorithms with superior efficiency and a drastic reduction in query complexity. In the context of superconducting qubits, FQSVTs offer a powerful tool for managing energy subspaces, improving efficiency for state preparation and leakage detection.

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  • This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
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  • In this paper, we introduce a major advancement in Quantum Singular Value Transformation (QSVT) through the development of Feedforward QSVT (FQSVT), a framework that...

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