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TensorFlow Quantum: A software platform for hybrid quantum-classical ML (TF Dev Summit '20)

Name: TensorFlow Quantum: A software platform for hybrid quantum-classical ML (TF Dev Summit '20)
Uploaded: 2020-03-11
Description: TensorFlow Quantum was presented at the 2020 TensorFlow Developer Summit as a way to connect quantum and machine-learning workflows. This archival presentation is for viewers interested in the software approach and its motivation. Demonstrating a hybrid workflow does not establish that quantum machine learning outperforms classical alternatives.

Original upload Mar 11, 2020

Rows of patterned Fugaku supercomputer cabinets at the RIKEN Center for Computational Science

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Fugaku at RIKEN in Kobe. Classical supercomputing context for computational research, not a quantum processor or a video frame.

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TensorFlow Quantum was presented at the 2020 TensorFlow Developer Summit as a way to connect quantum and machine-learning workflows. This archival presentation is for viewers interested in the software approach and its motivation. Demonstrating a hybrid workflow does not establish that quantum machine learning outperforms classical alternatives.

Video by TensorFlow. Added to QubitWire September 29, 2026.

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