Non-Local Phase Estimation with a Rydberg-Superconducting Qubit Hybrid

Juan C. Boschero; Niels M.P. Neumann; Ward van der Schoot; Frank Phillipson

Non-Local Phase Estimation with a Rydberg-Superconducting Qubit Hybrid

Juan C. Boschero
, Niels M.P. Neumann
, Ward van der Schoot
, Frank Phillipson

Research output: Contribution to conference › Paper › Academic

Abstract

Distributed quantum computing (DQC) is crucial for high-volume quantum processing in the NISQ era. Many different technologies are utilized to implement a quantum computer, each with a different advantages and disadvantages. Various research is performed on how to implement DQC
within a certain technology, but research on DQC between different technologies is rather limited. In this work, we contribute to this latter research line, by implementing the Quantum Phase Estimation algorithm on a superconducting-resonator-atom hybrid system. This system combines a Rydberg atom qubit, as well as a superconducting flux qubit system to perform the algorithm. In
addition, Hamiltonian dynamics are studied to analyze noise sources, after which quantum optimal control (GRAPE) is used to optimize gate construction. The results show tradeoffs between GRAPE step size, iterations and noise level.

Original language	English
Number of pages	13
Publication status	Published - 1 Jun 2025
Event	1st IEEE International Conference On Quantum Software (IEEE QSW) / IEEE World Congress on Services (IEEE SERVICES) - Barcelona, Spain Duration: 11 Jul 2022 → 15 Jul 2022 https://conferences.computer.org/qsw/2022/

Conference

Conference	1st IEEE International Conference On Quantum Software (IEEE QSW) / IEEE World Congress on Services (IEEE SERVICES)
Country/Territory	Spain
City	Barcelona
Period	11/07/22 → 15/07/22
Internet address	https://conferences.computer.org/qsw/2022/

Keywords

hybrid quantum computing
Distributed quantum computing
optimal control
quantum algorithms
quantum-quantum hybrid computing

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https://arxiv.org/abs/2505.17842Licence: CC BY

Cite this

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title = "Non-Local Phase Estimation with a Rydberg-Superconducting Qubit Hybrid",

abstract = "Distributed quantum computing (DQC) is crucial for high-volume quantum processing in the NISQ era. Many different technologies are utilized to implement a quantum computer, each with a different advantages and disadvantages. Various research is performed on how to implement DQC within a certain technology, but research on DQC between different technologies is rather limited. In this work, we contribute to this latter research line, by implementing the Quantum Phase Estimation algorithm on a superconducting-resonator-atom hybrid system. This system combines a Rydberg atom qubit, as well as a superconducting flux qubit system to perform the algorithm. In addition, Hamiltonian dynamics are studied to analyze noise sources, after which quantum optimal control (GRAPE) is used to optimize gate construction. The results show tradeoffs between GRAPE step size, iterations and noise level. ",

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AU - Neumann, Niels M.P.

AU - van der Schoot, Ward

AU - Phillipson, Frank

N1 - no data

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Y1 - 2025/6/1

N2 - Distributed quantum computing (DQC) is crucial for high-volume quantum processing in the NISQ era. Many different technologies are utilized to implement a quantum computer, each with a different advantages and disadvantages. Various research is performed on how to implement DQC within a certain technology, but research on DQC between different technologies is rather limited. In this work, we contribute to this latter research line, by implementing the Quantum Phase Estimation algorithm on a superconducting-resonator-atom hybrid system. This system combines a Rydberg atom qubit, as well as a superconducting flux qubit system to perform the algorithm. In addition, Hamiltonian dynamics are studied to analyze noise sources, after which quantum optimal control (GRAPE) is used to optimize gate construction. The results show tradeoffs between GRAPE step size, iterations and noise level.

AB - Distributed quantum computing (DQC) is crucial for high-volume quantum processing in the NISQ era. Many different technologies are utilized to implement a quantum computer, each with a different advantages and disadvantages. Various research is performed on how to implement DQC within a certain technology, but research on DQC between different technologies is rather limited. In this work, we contribute to this latter research line, by implementing the Quantum Phase Estimation algorithm on a superconducting-resonator-atom hybrid system. This system combines a Rydberg atom qubit, as well as a superconducting flux qubit system to perform the algorithm. In addition, Hamiltonian dynamics are studied to analyze noise sources, after which quantum optimal control (GRAPE) is used to optimize gate construction. The results show tradeoffs between GRAPE step size, iterations and noise level.

KW - hybrid quantum computing

KW - Distributed quantum computing

KW - optimal control

KW - quantum algorithms

KW - quantum-quantum hybrid computing

M3 - Paper

T2 - 1st IEEE International Conference On Quantum Software (IEEE QSW) / IEEE World Congress on Services (IEEE SERVICES)

Y2 - 11 July 2022 through 15 July 2022

ER -

Non-Local Phase Estimation with a Rydberg-Superconducting Qubit Hybrid

Abstract

Conference

Keywords

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