This post shows how quantum reservoir computing (QRC) can tackle machine learning challenges using Rydberg-atom quantum computers. Readers will learn how QRC works, see its performance on image classification and time series prediction …
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AWS re:Invent 2025 returns to Las Vegas from December 1 to 5, bringing together builders, researchers, and business leaders who are exploring what is next in advanced computing on AWS. Quantum computing is moving from research labs into …
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This post was contributed by Dimitar Trenev, Vivek Dwivedi, and Zia Mohammad Customers from research institutions, educational organizations, and development teams asked us for a better way to control quantum processing unit (QPU) cost …
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Amazon Braket enables customers to design and run quantum algorithms on a broad selection of quantum hardware through a unified interface. Today, we expand the hardware available on Braket by adding Alpine Quantum Technologies (AQT) as a …
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This post was contributed by Ernesto Palidda and Marco Paini from Rigetti Computing, Cristopher Salvi and Antoine Jacquier from Imperial College London, Samuel Crew from National Tsing Hua University and Shaun Geaney from Standard Chartered …
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Customers can now run CUDA-Q programs directly in Amazon Braket Jupyter notebook instances without additional setup. Braket notebook environments now include the latest compatible packages for Braket, CUDA-Q, PennyLane, and Qiskit. This …
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This post was contributed by Jiaqi Leng, Joseph Li, Xiaodi Wu Scientists and engineers face numerous computational challenges in fields like fluid dynamics [1], modeling heat and sound propagation [2], and aircraft design [3]. Simulating …
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Introduction In this post, we explore the mathematical foundations and practical implementations of quantum measurement techniques using Amazon Braket. We examine this subject through multiple perspectives: action of gates as basis …
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