research-article

Quantivine: A Visualization Approach for Large-Scale Quantum Circuit Representation and Analysis

Authors:

Wei ChenAuthors Info & Claims

IEEE Transactions on Visualization and Computer Graphics, Volume 30, Issue 1

Pages 573 - 583

https://doi.org/10.1109/TVCG.2023.3327148

Published: 25 October 2023 Publication History

Abstract

Quantum computing is a rapidly evolving field that enables exponential speed-up over classical algorithms. At the heart of this revolutionary technology are quantum circuits, which serve as vital tools for implementing, analyzing, and optimizing quantum algorithms. Recent advancements in quantum computing and the increasing capability of quantum devices have led to the development of more complex quantum circuits. However, traditional quantum circuit diagrams suffer from scalability and readability issues, which limit the efficiency of analysis and optimization processes. In this research, we propose a novel visualization approach for large-scale quantum circuits by adopting semantic analysis to facilitate the comprehension of quantum circuits. We first exploit meta-data and semantic information extracted from the underlying code of quantum circuits to create component segmentations and pattern abstractions, allowing for easier wrangling of massive circuit diagrams. We then develop <italic>Quantivine</italic>, an interactive system for exploring and understanding quantum circuits. A series of novel circuit visualizations is designed to uncover contextual details such as qubit provenance, parallelism, and entanglement. The effectiveness of <italic>Quantivine</italic> is demonstrated through two usage scenarios of quantum circuits with up to 100 qubits and a formal user evaluation with quantum experts. A free copy of this paper and all supplemental materials are available at <uri>https://osf.io/2m9yh/?view_only=0aa1618c97244f5093cd7ce15f1431f9</uri>.

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Cited By

Cabouat AHe TIsenberg PIsenberg T(2024)PREVis: Perceived Readability Evaluation for VisualizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345631831:1(1083-1093)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456318
Ruan SGuan QGriffin PMao YWang Y(2023)QuantumEyes: Towards Better Interpretability of Quantum CircuitsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.333299930:9(6321-6333)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3332999

Index Terms

Quantivine: A Visualization Approach for Large-Scale Quantum Circuit Representation and Analysis
1. Human-centered computing
  1. Human computer interaction (HCI)
  2. Visualization

Index terms have been assigned to the content through auto-classification.

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cover image IEEE Transactions on Visualization and Computer Graphics

IEEE Transactions on Visualization and Computer Graphics Volume 30, Issue 1

Jan. 2024

1456 pages

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1077-2626 © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.

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Published: 25 October 2023

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Cabouat AHe TIsenberg PIsenberg T(2024)PREVis: Perceived Readability Evaluation for VisualizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345631831:1(1083-1093)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456318
Ruan SGuan QGriffin PMao YWang Y(2023)QuantumEyes: Towards Better Interpretability of Quantum CircuitsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.333299930:9(6321-6333)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3332999

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