This post was contributed by Kirill Bogdanov (Pr. Solutions Architect at AWS) and Alan Parry, (CTO at YellowDog). Large-scale compute grids sit at the heart of modern financial services operations. They power overnight batch runs for …
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This post was contributed by Stefan Dittforth and Michael Mueller Introduction Oxford Nanopore Technologies (ONT) sequencing enhances genome analysis in research and healthcare with its ability to produce long-read sequencing data in …
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For nearly two decades, organizations across healthcare, drug discovery, and financial services have relied on SAS Grid to power their most critical analytics workloads. SAS Grid (formally known as SAS Grid Manager) is an enterprise …
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When customers choose to run self-managed Oracle databases in the cloud, one of the fundamental decisions they make is where to store their data. Although many deployments use locally attached block storage, there’s a compelling …
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Fault-tolerant quantum computing requires quantum error correction (QEC): Encoding one logical qubit into many physical qubits so that, below a threshold error rate, the logical error rate falls rapidly as the code grows. The practical …
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Research teams moving from on-premises HPC environments often struggle with the complexity of cloud deployment. Traditional approaches require deep expertise in AWS networking, storage architectures, and Slurm configuration management. A …
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To get the most out of today’s noisy quantum computers, quantum computational experiments commonly utilize quantum error mitigation (QEM) techniques. These methods include discarding known noisy results (post selection), modifying …
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With current noisy quantum hardware, every quantum circuit evaluation is precious. Variational quantum algorithms like the Variational Quantum Eigensolver (VQE) require repeated estimation of expectation values of quantum observables—each …
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