Skip to main content

Advancing Comprehension of Quantum Application Outputs: A Visualization Technique

by Priyabrata Senapati, Tushar M Athawale, David R Pugmire, Qiang Guan
Publication Type
Conference Paper
Book Title
QCCC '23: Proceedings of the 2023 International Workshop on Quantum Classical Cooperative
Publication Date
Page Numbers
25 to 28
Publisher Location
New York, New York, United States of America
Conference Name
QCCC '23: 2023 International Workshop on Quantum Classical Cooperative
Conference Location
Orlando, Florida, United States of America
Conference Sponsor
Conference Date

Noise in quantum computers presents a challenge for the users of quantum computing despite the rapid progress we have seen in the past few years in building quantum computers. Existing works have addressed the noise in quantum computers using a variety of mitigation techniques since error correction requires a large number of qubits which is infeasible at present. One of the consequences of quantum computing noise is that users are unable to reproduce similar output from the same quantum computer at different times, let alone from various quantum computers. In this work, we have made initial attempts to visualize quantum basis states for all the circuits that were used in quantum machine learning from various quantum computers and noise-free quantum simulators. We have opened up a pathway for further research into this field where we will be able to isolate noisy states from non-noisy states leading to efficient error mitigation. This is where our work provides an important step in the direction of efficient error mitigation. Our work also provides a ground for quantum noise visualization in the case of large numbers of qubits.