Quantum Kernel Learning for Network Service Fault Diagnosis

July 25 at 3:50 pm
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This study explores the use of quantum kernel learning for fault diagnosis tasks in a commercial telecommunications network. One of the prevailing challenges in quantum kernel learning is to find a way to calculate the inner product between two feature vectors that can consistently achieve high performance. We propose a method that implements tunable parameters in the quantum entanglement generation part of quantum kernels, which allows for a more stable extraction in terms of inference performance of quantum machine learning. Experimental validation of this novel method was conducted using IBM’s superconducting quantum computer IBM-Kawasaki, and its practicality was verified by applying error suppression using Q-CTRL’s Fire Opal.
Hiroshi Yamauchi, Senior Research, SoftBank Corp.
Aravind Rutnam, Chief Strategy & Revenue Officer, Q-CTRL
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Featured Speaker(s):
Hiroshi Yamauchi

Hiroshi Yamauchi

SoftBank Corp.
Aravind Ratnam

Aravind Ratnam

Chief Strategy & Revenue Officer Q-CTRL
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Quantum Kernel Learning for Network Service Fault Diagnosis

July 25 @ 3:50 pm - 4:10 pm

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Featured Speaker(s):
Hiroshi Yamauchi

Hiroshi Yamauchi

SoftBank Corp.
Aravind Ratnam

Aravind Ratnam

Chief Strategy & Revenue Officer Q-CTRL

This study explores the use of quantum kernel learning for fault diagnosis tasks in a commercial telecommunications network. One of the prevailing challenges in quantum kernel learning is to find a way to calculate the inner product between two feature vectors that can consistently achieve high performance. We propose a method that implements tunable parameters in the quantum entanglement generation part of quantum kernels, which allows for a more stable extraction in terms of inference performance of quantum machine learning. Experimental validation of this novel method was conducted using IBM’s superconducting quantum computer IBM-Kawasaki, and its practicality was verified by applying error suppression using Q-CTRL’s Fire Opal.


Hiroshi Yamauchi, Senior Research, SoftBank Corp.


Aravind Rutnam, Chief Strategy & Revenue Officer, Q-CTRL

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Date:
July 25
Time:
3:50 pm - 4:10 pm
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Tarragon

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