QuantumEyes: Towards a better interpretability of quantum circuits

Quantum computing offers significant speedup compared to classical computing, which has led to a growing interest among users in learning and applying quantum computing across various applications. However, quantum circuits, which are fundamental for implementing quantum algorithms, can be challengi...

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Main Authors: RUAN, Shaolun, WANG, Yong, GRIFFIN, Paul Robert, GUAN, Qiang
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Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8606
https://ink.library.smu.edu.sg/context/sis_research/article/9609/viewcontent/QuantumEyes.pdf
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spelling sg-smu-ink.sis_research-96092024-01-25T08:28:34Z QuantumEyes: Towards a better interpretability of quantum circuits RUAN, Shaolun WANG, Yong GRIFFIN, Paul Robert GUAN, Qiang Quantum computing offers significant speedup compared to classical computing, which has led to a growing interest among users in learning and applying quantum computing across various applications. However, quantum circuits, which are fundamental for implementing quantum algorithms, can be challenging for users to understand due to their underlying logic, such as the temporal evolution of quantum states and the effect of quantum amplitudes on the probability of basis quantum states. To fill this research gap, we propose , an interactive visual analytics system to enhance the interpretability of quantum circuits through both global and local levels. For the global-level analysis, we present three coupled visualizations to delineate the changes of quantum states and the underlying reasons: a Probability Summary View to overview the probability evolution of quantum states; a State Evolution View to enable an in-depth analysis of the influence of quantum gates on the quantum states; a Gate Explanation View to show the individual qubit states and facilitate a better understanding of the effect of quantum gates. For the local-level analysis, we design a novel geometrical visualization to explicitly reveal how the quantum amplitudes affect the probability of the quantum state. We thoroughly evaluated as well as the novel integrated into it through two case studies on different types of quantum algorithms and in-depth expert interviews with 12 domain experts. The results demonstrate the effectiveness and usability of our approach in enhancing the interpretability of quantum circuits. 2023-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8606 info:doi/10.1109/TVCG.2023.3332999 https://ink.library.smu.edu.sg/context/sis_research/article/9609/viewcontent/QuantumEyes.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Data visualization; Interpretability; Quantum circuits; Quantum computing Numerical Analysis and Scientific Computing Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Data visualization; Interpretability; Quantum circuits; Quantum computing
Numerical Analysis and Scientific Computing
Software Engineering
spellingShingle Data visualization; Interpretability; Quantum circuits; Quantum computing
Numerical Analysis and Scientific Computing
Software Engineering
RUAN, Shaolun
WANG, Yong
GRIFFIN, Paul Robert
GUAN, Qiang
QuantumEyes: Towards a better interpretability of quantum circuits
description Quantum computing offers significant speedup compared to classical computing, which has led to a growing interest among users in learning and applying quantum computing across various applications. However, quantum circuits, which are fundamental for implementing quantum algorithms, can be challenging for users to understand due to their underlying logic, such as the temporal evolution of quantum states and the effect of quantum amplitudes on the probability of basis quantum states. To fill this research gap, we propose , an interactive visual analytics system to enhance the interpretability of quantum circuits through both global and local levels. For the global-level analysis, we present three coupled visualizations to delineate the changes of quantum states and the underlying reasons: a Probability Summary View to overview the probability evolution of quantum states; a State Evolution View to enable an in-depth analysis of the influence of quantum gates on the quantum states; a Gate Explanation View to show the individual qubit states and facilitate a better understanding of the effect of quantum gates. For the local-level analysis, we design a novel geometrical visualization to explicitly reveal how the quantum amplitudes affect the probability of the quantum state. We thoroughly evaluated as well as the novel integrated into it through two case studies on different types of quantum algorithms and in-depth expert interviews with 12 domain experts. The results demonstrate the effectiveness and usability of our approach in enhancing the interpretability of quantum circuits.
format text
author RUAN, Shaolun
WANG, Yong
GRIFFIN, Paul Robert
GUAN, Qiang
author_facet RUAN, Shaolun
WANG, Yong
GRIFFIN, Paul Robert
GUAN, Qiang
author_sort RUAN, Shaolun
title QuantumEyes: Towards a better interpretability of quantum circuits
title_short QuantumEyes: Towards a better interpretability of quantum circuits
title_full QuantumEyes: Towards a better interpretability of quantum circuits
title_fullStr QuantumEyes: Towards a better interpretability of quantum circuits
title_full_unstemmed QuantumEyes: Towards a better interpretability of quantum circuits
title_sort quantumeyes: towards a better interpretability of quantum circuits
publisher Institutional Knowledge at Singapore Management University
publishDate 2023
url https://ink.library.smu.edu.sg/sis_research/8606
https://ink.library.smu.edu.sg/context/sis_research/article/9609/viewcontent/QuantumEyes.pdf
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