Quantum science is progressing rapidly: in recent decades it has emerged from textbooks to enable tools we use in everyday life, such as lasers and GPS. Amazon, which is already involved in quantum computing, recently announced the creation …
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Customers looking to solve their hardest computational problems often wonder about the production-readiness of quantum computing. They want to know when a full-scale, fault-tolerant quantum computer will be available, and what the obstacles …
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Companies operate applications in their corporate IT landscape that rely on transfer protocols, such as Secure Shell (SSH) File Transfer Protocol (SFTP), File Transfer Protocol Secure (FTPS), and File Transfer Protocol (FTP). Historically, …
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Understanding deal and portfolio risk and capital requirements is a computationally expensive process that requires the execution of multiple financial forecasting models every day and in often in real time. This post describes how it works …
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A key part of the development of quantum hardware and quantum algorithms is simulation using existing classical architectures and HPC techniques. In this blog post, we describe how to perform large-scale quantum circuits simulations using …
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In the AWS Deep Learning Challenge held from January 5, 2022, to March 1, 2022, participants from academia, startups, and enterprise organizations joined to test their skills and train a deep learning model of their choice using Amazon …
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In this blog, we showcase the first version of Open Omics and benchmark three applications that are used in processing NGS data – sequence alignment tools BWA-MEM, minimap2, and single cell ATAC-Seq on Xeon-based Amazon Elastic Compute …
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In this final part of this three-part blog series on building predictive models at scale in AWS, we will use the synthetic dataset and the models generated in the previous post to showcase the model updating and sensitivity analysis …
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