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Getting Started with Amazon Braket Hybrid Jobs (#940)
**Title:** Getting Started with Amazon Braket Hybrid Jobs **Summary:** This notebook provides an introduction to running hybrid quantum-classical algorithms using PennyLane on Amazon Braket. With Amazon Braket, you gain access to both real quantum devices and both scalable classical compute, enabling you to push the boundaries of your algorithm. **Relevant references:** **Possible Drawbacks:** **Related GitHub Issues:** --------- Co-authored-by: KetpuntoG <[email protected]> Co-authored-by: LucasSilbernagel <[email protected]> Co-authored-by: Josh Izaac <[email protected]> Co-authored-by: Isaac De Vlugt <[email protected]>
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.. bio:: Matt Beach | ||
:photo: ../_static/authors/matthew_beach.png | ||
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Matthew Beach is an Applied Scientist at Amazon Braket. His research focuses on the intersection of machine learning and quantum physics with an emphasis on using computational methods to study many-body systems. |
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demonstrations/getting_started_with_hybrid_jobs.metadata.json
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{ | ||
"title": "Getting started with the Amazon Braket Hybrid Jobs", | ||
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