QuFlow: Visualizing Parameter Flow in Quantum Circuits for Understanding Quantum Computation

Lin, Siyuan; Jiang, Hao; Sun, Lingyun

doi:10.1109/scivis.2018.8823602

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Visualization For Quantum Computing1

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2022

2024

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Cited by 4 publications

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“…Miller et al [31] proposed a node-link approach to present quantum circuits. Lin et al [28] introduced a method to reveal the parameters' dynamic change by the sequence of quantum gates. Tao et al [53] introduced an interactive platform for users to better understand Shor's algorithm.…”

Section: Visualization For Quantum Computingmentioning

confidence: 99%

VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing

Ruan¹,

Wang²,

Jiang³

et al. 2022

Preprint

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A1 C1 Fig. 1: The interface of VACSEN makes users aware of the quantum noise via three linked views (A-C). Computer Evolution View (A) allows the assessment for all quantum computers based on a temporal analysis for multiple performance metrics. Circuit Filtering View (B) supports the filtering for the potential optimal compiled circuits. Circuit Comparison View (C) supports the in-depth comparison regarding the performance of qubits or quantum gates and corresponding usages. The control panel (D) allows users to interactively configure the settings of VACSEN. Fidelity Comparison View (E) shows the fidelity distribution of each compiled circuit. Probability Distribution View (F) visualizes the results of state distribution of a quantum circuit execution.

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Section: Visualization For Quantum Computingmentioning

confidence: 99%