Industry Case Study: Customer Case Studies on Quantum Computing on AWS

AWS での量子コンピューティングに関するお客様導入事例

July 20, 2023 at 4:10 pm
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Amazon Braket is a fully managed quantum computing service designed to support accelerated scientific research and software development for quantum computing. Amazon Braket provides hardware such as Rigetti, OQC as a superconducting quantum computer, IonQ as an ion trap quantum computer, and QuERA as a neutral atom quantum simulator, and can be used for a wide range of applications, from qubit pulse level control to verification of quantum classical hybrid algorithms such as QAOA and quantum machine learning. In this talk, in addition to presenting the latest update of Amazon Braket from AWS, DENSO (/AIST) Dr. Kadowaki will talk about quantum computer-aided design and the construction of practical quantum computers using digital/analog quantum computing as a case study on the use of Amazon Braket. SCSK Dr. Suzuki will also present on the quantum AI circuit simulator using the Amazon EC2 F1 instance and the verification of the quantum SVM model using Amazon Braket IonQ Harmony.
Shoko Utsonomiya, Principal Machine Learning and Quantum Solutions Architect, AWS
  Suzuki Tappei, Quantum Researcher, SCSK Corporation
  Tadashi Kadowaki, Project General Manager, DENSO/AIST

Amazon Braket は、量子コンピューティングのための科学的研究とソフトウェア開発の高速化をサポートするために設計された、フルマネージド量子コンピューティングサービスです。Amazon Braket では超電導量子コンピュータとしてはRigetti, OQC, イオントラップ量子コンピュータとして IonQ、中性原子量子シミュレータとしてQuEraなどのハードウエアを提供し、量子ビットのパルスレベルのコントロールからQAOAや量子機械学習といった量子古典ハイブリッドのアルゴリズムの検証など、幅広い用途に利用いただくことができます。

本講演では、AWSから Amazon Braket の最新情報を発表するほか、お客様企業における Amazon Braket の活用ケーススタディとして、DENSO (/AIST) 門脇様より量子コンピュータ支援設計について、デジタル・アナログ量子コンピューティングによる実用的な量子コンピュータの構築についてお話しいただきます。また、SCSK 鈴木様よりAWSのクラウドサービスを活用した量子AIの検証として、Amazon EC2 F1インスタンスによる量子AI回路シミュレータとAmazon Braket IonQ Harmonyを使ったQuantum SVMモデルの検証について、共同登壇いただきます。

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Featured Speaker(s):
Shoko Utsunomiya

宇都宮 聖子 / Shoko Utsunomiya

プリンシパル機械学習量子ソリューションアーキテクト / / Principal Machine Learning and Quantum Solutions Architect アマゾン ウェブ サービス ジャパン合同会社 / Amazon Web Services Japan, G.K.
Teppei Suzuki

鈴木 鉄兵 / Teppei Suzuki

量子チームリーダー / Quantum Researcher SCSK株式会社 / SCSK Corporation
Tadashi Kadowaki

門脇 正史 / Tadashi Kadowaki

担当次長 / 客員研究員 / Project General Manager / Visiting Researcher (株)デンソー / 産業総合研究所 / DENSO Corporation / AIST
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Industry Case Study: Customer Case Studies on Quantum Computing on AWS

July 20, 2023 @ 4:10 pm - 4:30 pm

Featured Speaker(s):
Shoko Utsunomiya

宇都宮 聖子 / Shoko Utsunomiya

プリンシパル機械学習量子ソリューションアーキテクト / / Principal Machine Learning and Quantum Solutions Architect アマゾン ウェブ サービス ジャパン合同会社 / Amazon Web Services Japan, G.K.
Teppei Suzuki

鈴木 鉄兵 / Teppei Suzuki

量子チームリーダー / Quantum Researcher SCSK株式会社 / SCSK Corporation
Tadashi Kadowaki

門脇 正史 / Tadashi Kadowaki

担当次長 / 客員研究員 / Project General Manager / Visiting Researcher (株)デンソー / 産業総合研究所 / DENSO Corporation / AIST

Amazon Braket is a fully managed quantum computing service designed to support accelerated scientific research and software development for quantum computing. Amazon Braket provides hardware such as Rigetti, OQC as a superconducting quantum computer, IonQ as an ion trap quantum computer, and QuERA as a neutral atom quantum simulator, and can be used for a wide range of applications, from qubit pulse level control to verification of quantum classical hybrid algorithms such as QAOA and quantum machine learning.

In this talk, in addition to presenting the latest update of Amazon Braket from AWS, DENSO (/AIST) Dr. Kadowaki will talk about quantum computer-aided design and the construction of practical quantum computers using digital/analog quantum computing as a case study on the use of Amazon Braket. SCSK Dr. Suzuki will also present on the quantum AI circuit simulator using the Amazon EC2 F1 instance and the verification of the quantum SVM model using Amazon Braket IonQ Harmony.


Shoko Utsonomiya, Principal Machine Learning and Quantum Solutions Architect, AWS


 

Suzuki Tappei, Quantum Researcher, SCSK Corporation


 

Tadashi Kadowaki, Project General Manager, DENSO/AIST

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Date:
July 20, 2023
Time:
4:10 pm - 4:30 pm
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