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Citi and Classiq advance quantum solutions for portfolio optimization using Amazon Braket

Today we look at how Citi Innovation Labs is exploring quantum computing for portfolio optimization in partnership with Classiq and AWS. Their research examines how adjustments to the QAOA algorithm’s penalty factor impact performance.

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Improve application resiliency and performance with Multi-AZ Amazon FSx for OpenZFS

Business-critical applications frequently require high availability to meet Service Level Agreements (SLAs). In addition, users are challenged by compliance requirements and disaster recovery plans to assure workload availability. In many …

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In search of performance, details matter - behind the scenes in ParallelCluster

Delving into the important but unheralded optimizations that enable HPC systems to truly fly, Stephen Sachs walks us through some of the nitty gritty details that can throttle - or unleash - performance.

From ancient Fortran codes pushing …

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How Visual Layer builds high quality datasets on Amazon S3

Companies from different industries use data to help their Artificial Intelligence (AI) and Machine Learning (ML) systems make intelligent decisions. For ML systems to work well, it is crucial to make sure that the massive datasets used for …

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Accelerating molecule discovery with computational chemistry and Promethium on AWS

Interested in performing high-accuracy computational chemistry simulations faster? Check out this new post about Promethium, a solution from QC Ware that leverages AWS to accelerate simulations by up to 100x.

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Exploring industrial use cases in the Airbus-BMW Group Quantum Computing Challenge

Discover how Airbus and BMW Group are harnessing quantum computing to tackle industry challenges. Join the Airbus-BMW Group Quantum Mobility Quest and help shape the future of transportation.

Read the Post on the AWS Blog Channel

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Leveraging Seqera Platform on AWS Batch for machine learning workflows – Part 1 of 2

Nextflow is popular workflow framework for genomics pipelines, but did you know you can also use it for machine-learning? ML is already being used for medical imaging, protein folding, drug discovery, and gene editing. In this post, we …

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Leveraging Seqera Platform on AWS Batch for machine learning workflows – Part 2 of 2

In this second part of using Nextflow for machine learning for life science workloads, we provide a step-by-step guide, explaining how you can easily deploy a Seqera environment on AWS to run ML and other pipelines.

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