Design and Analysis of Digital Communication Within an SoC-Based Control System for Trapped-Ion Quantum Computing

Electronic control systems used for quantum computing have become increasingly complex as multiple qubit technologies employ larger numbers of qubits with higher fidelity target. Whereas the control systems for different technologies share some similarities, parameters, such as pulse duration, throu...

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Main Authors: Nafis Irtija, Jim Plusquellic, Eirini Eleni Tsiropoulou, Joshua Goldberg, Daniel Lobser, Daniel Stick
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10024704/
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author Nafis Irtija
Jim Plusquellic
Eirini Eleni Tsiropoulou
Joshua Goldberg
Daniel Lobser
Daniel Stick
author_facet Nafis Irtija
Jim Plusquellic
Eirini Eleni Tsiropoulou
Joshua Goldberg
Daniel Lobser
Daniel Stick
author_sort Nafis Irtija
collection DOAJ
description Electronic control systems used for quantum computing have become increasingly complex as multiple qubit technologies employ larger numbers of qubits with higher fidelity target. Whereas the control systems for different technologies share some similarities, parameters, such as pulse duration, throughput, real-time feedback, and latency requirements, vary widely depending on the qubit type. In this article, we evaluate the performance of modern system-on-chip (SoC) architectures in meeting the control demands associated with performing quantum gates on trapped-ion qubits, particularly focusing on communication within the SoC. A principal focus of this article is the data transfer latency and throughput of several high-speed on-chip mechanisms on Xilinx multiprocessor SoCs, including those that utilize direct memory access (DMA). They are measured and evaluated to determine an upper bound on the time required to reconfigure a gate parameter. Worst-case and average-case bandwidth requirements for a custom gate sequencer core are compared with the experimental results. The lowest variability, highest throughput data-transfer mechanism is DMA between the real-time processing unit (RPU) and the programmable logic, where bandwidths up to 19.2 GB/s are possible. For context, this enables the reconfiguration of qubit gates in less than 2 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>s, comparable to the fastest gate time. Though this article focuses on trapped-ion control systems, the gate abstraction scheme and measured communication rates are applicable to a broad range of quantum computing technologies.
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spelling doaj.art-0cc3d5dfc3ba440e8fb1027fb3ea36102024-02-07T00:03:59ZengIEEEIEEE Transactions on Quantum Engineering2689-18082023-01-01412410.1109/TQE.2023.323867010024704Design and Analysis of Digital Communication Within an SoC-Based Control System for Trapped-Ion Quantum ComputingNafis Irtija0https://orcid.org/0000-0001-7932-6123Jim Plusquellic1Eirini Eleni Tsiropoulou2https://orcid.org/0000-0003-1322-1876Joshua Goldberg3Daniel Lobser4Daniel Stick5https://orcid.org/0000-0002-6802-7539Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, USADepartment of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, USADepartment of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, USASandia National Laboratories, Albuquerque, NM, USASandia National Laboratories, Albuquerque, NM, USASandia National Laboratories, Albuquerque, NM, USAElectronic control systems used for quantum computing have become increasingly complex as multiple qubit technologies employ larger numbers of qubits with higher fidelity target. Whereas the control systems for different technologies share some similarities, parameters, such as pulse duration, throughput, real-time feedback, and latency requirements, vary widely depending on the qubit type. In this article, we evaluate the performance of modern system-on-chip (SoC) architectures in meeting the control demands associated with performing quantum gates on trapped-ion qubits, particularly focusing on communication within the SoC. A principal focus of this article is the data transfer latency and throughput of several high-speed on-chip mechanisms on Xilinx multiprocessor SoCs, including those that utilize direct memory access (DMA). They are measured and evaluated to determine an upper bound on the time required to reconfigure a gate parameter. Worst-case and average-case bandwidth requirements for a custom gate sequencer core are compared with the experimental results. The lowest variability, highest throughput data-transfer mechanism is DMA between the real-time processing unit (RPU) and the programmable logic, where bandwidths up to 19.2 GB/s are possible. For context, this enables the reconfiguration of qubit gates in less than 2 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>s, comparable to the fastest gate time. Though this article focuses on trapped-ion control systems, the gate abstraction scheme and measured communication rates are applicable to a broad range of quantum computing technologies.https://ieeexplore.ieee.org/document/10024704/Quantum computingqubitssystem-on-chip (SoC)-based field-programmable gate arrays (FPGA) control systemtrapped ion
spellingShingle Nafis Irtija
Jim Plusquellic
Eirini Eleni Tsiropoulou
Joshua Goldberg
Daniel Lobser
Daniel Stick
Design and Analysis of Digital Communication Within an SoC-Based Control System for Trapped-Ion Quantum Computing
IEEE Transactions on Quantum Engineering
Quantum computing
qubits
system-on-chip (SoC)-based field-programmable gate arrays (FPGA) control system
trapped ion
title Design and Analysis of Digital Communication Within an SoC-Based Control System for Trapped-Ion Quantum Computing
title_full Design and Analysis of Digital Communication Within an SoC-Based Control System for Trapped-Ion Quantum Computing
title_fullStr Design and Analysis of Digital Communication Within an SoC-Based Control System for Trapped-Ion Quantum Computing
title_full_unstemmed Design and Analysis of Digital Communication Within an SoC-Based Control System for Trapped-Ion Quantum Computing
title_short Design and Analysis of Digital Communication Within an SoC-Based Control System for Trapped-Ion Quantum Computing
title_sort design and analysis of digital communication within an soc based control system for trapped ion quantum computing
topic Quantum computing
qubits
system-on-chip (SoC)-based field-programmable gate arrays (FPGA) control system
trapped ion
url https://ieeexplore.ieee.org/document/10024704/
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