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The Case of the Misbehaving Superconducting Qubits

December 10 at 4:10 pm
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  • Industry Case Studies Brought to You by IBM
  • Room 209
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This joint work between QM and Qruise discusses the applications of physics based Machine Learning to improve the performance of flux based gates in superconducting qubits. A data driven approach is utilised to characterise essential qubit and control stack parameters which can then be used to design gates robust to various hardware constraints, resulting in nearly 50% improvements in performance benchmarks.
Anurag Saha Roy, Chief Product. Officer, Qruise GmbH
Gilad Ben-Shach, Director of Partnerships and Strategy, Quantum Machines
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Featured Speaker(s):
Anurag Saha Roy

Anurag Saha Roy

Chief Product. Officer Qruise GmbH
Gilad Ben-Shach

Gilad Ben-Shach

Director of Partnerships and Strategy Quantum Machines / IQCC

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The Case of the Misbehaving Superconducting Qubits

December 10 @ 4:10 pm - 4:30 pm

Event Series Event Series (See All)
Featured Speaker(s):
Anurag Saha Roy

Anurag Saha Roy

Chief Product. Officer Qruise GmbH
Gilad Ben-Shach

Gilad Ben-Shach

Director of Partnerships and Strategy Quantum Machines / IQCC

This joint work between QM and Qruise discusses the applications of physics based Machine Learning to improve the performance of flux based gates in superconducting qubits. A data driven approach is utilised to characterise essential qubit and control stack parameters which can then be used to design gates robust to various hardware constraints, resulting in nearly 50% improvements in performance benchmarks.

Anurag Saha Roy, Chief Product. Officer, Qruise GmbH

Gilad Ben-Shach, Director of Partnerships and Strategy, Quantum Machines

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Date:
December 10
Time:
4:10 pm - 4:30 pm
Series:
Industry Case Studies Brought to You by IBM
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Room 209

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