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reopen How-to run qsvt on hardware #1218
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👋 Hey, looks like you've updated some demos! 🐘 Don't forget to update the Please hide this comment once the field(s) are updated. Thanks! |
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🥳
[sc-67593] |
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Nice, @KetpuntoG , thanks.
I left a couple of minor comments/suggestions.
"dateOfPublication": "2023-05-23T00:00:00+00:00", | ||
"dateOfLastModification": "2024-03-04T00:00:00+00:00", |
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tk
"previewImages": [ | ||
{ | ||
"type": "thumbnail", | ||
"uri": "/_static/demonstration_assets/intro_qsvt/thumbnail_intro_qsvt.png" | ||
}, | ||
{ | ||
"type": "large_thumbnail", | ||
"uri": "/_static/demo_thumbnails/large_demo_thumbnails/thumbnail_large_intro_qsvt.png" | ||
} | ||
], |
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tk.
[skip ci] Co-authored-by: Ivana Kurečić <[email protected]> Co-authored-by: Ali Asadi <[email protected]>
…nyLaneAI/qml into reopening-qsvt-hardware-demo
Title: how to run QSVT on Hardware
Summary: Performing polynomial transformations on matrices or operators is a task of great interest, which we have previously addressed in our introductory demos on QSVT and its practical applications. In this how-to guide, we will show how we can implement the QSVT subroutine in a hardware-compatible way, taking your applications to the next level.
If you are writing a demonstration, please answer these questions to facilitate the marketing process.
We are making a Push to QSVT as it currently gives many problems and we want to make clear how to use it correctly.
People who know the algorithm but want to see how to implement it in hardware.
QSVT, hardware, how-to