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Improve quantum workload performance with Q-CTRL’s Fire Opal error suppression for IonQ processors on Amazon Braket

Boost the performance of your quantum workloads on IonQ hardware with Q-CTRL’s Fire Opal error suppression technology, now available on Amazon Braket. Achieve increased accuracy and run deeper, wider circuits with just a few lines of code. …

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How to run CUDA-Q programs on Amazon Braket notebook instances

Amazon Braket provides access to quantum computing resources and tools to develop quantum algorithms, test them on quantum circuit simulators, and run them on different quantum hardware technologies. Amazon Braket notebooks provide …

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Enhancing Equity Strategy Backtesting with Synthetic Data: An Agent-Based Model Approach

Developing robust investment strategies requires thorough testing, but relying solely on historical data can introduce biases and limit your insights. Learn how synthetic data from agent-based models can provide an unbiased testbed to …

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Enhancing Equity Strategy Backtesting with Synthetic Data: An Agent-Based Model Approach – part 2

Developing robust investment strategies requires thorough testing, but relying solely on historical data can introduce biases and limit your insights. Learn how synthetic data from agent-based models can provide an unbiased testbed to …

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How to use rate-limited resources in AWS Batch jobs with resource aware scheduling

Struggling with bottlenecks in your batch processing? AWS Batch’s new resource aware scheduling capability could be the solution your business needs. This feature allows you to define and manage consumable resources, helping maximize the …

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Predict the unpredictable: Disrupting drug lead optimization using quantum mechanics simulation in the cloud

Quantum mechanics meets drug discovery: QSimulate’s latest advancements in QM-based FEP simulation are poised to transform the industry. Our blog post takes you on a journey through the groundbreaking science and innovative software that …

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Optimizing Amazon FSx for Lustre storage consumption using automatic data tiering with Amazon S3

Managing high-performance file storage can be a significant operational and cost challenge for many organizations, especially those running compute-intensive workloads such as high-performance computing (HPC) or data analytics. This is …

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Unlock higher performance for file system workloads with scalable metadata performance on Amazon FSx for Lustre

Imagine a company like a movie studio, one that works with enormous volumes of video files, scripts, and animation assets. They store these files on a high-performance file system such as Amazon FSx for Lustre, a fully managed shared …

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