Three new capabilities launched today for Aquila on Amazon Braket let you customize lattice geometry and detuning. Learn how increased flexibility empowers your research. Read the Post on the AWS Blog Channel
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Check out our latest blog to learn how we implemented a cost-effective development cycle for training a hybrid quantum-classical algorithm using Amazon Braket and hyperparameter optimization. Read the Post on the AWS Blog Channel
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The story of how Qedma used Amazon Braket Direct for dedicated access to IonQ hardware to execute milestone VQE circuits. This post details leveraging reservations and collaborating directly with experts. An exciting look at accelerating …
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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. Read …
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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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Available today, quantum computing developers, educators, and enthusiasts can learn the foundations of quantum computing on Amazon Web Services (AWS) with the Amazon Braket Digital Learning Plan and earn their own Digital badge – at no …
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Quantum computing’s potential for computational chemistry is immense, but there are practical limitations. We show how Kvantify’s FAST-VQE algorithm can deliver great accuracy, performance, superior cost-effectiveness, driving us closer to …
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In this post, we’ll describe how the PennyLane-Braket SDK plugin to study the ground state of the anti-ferromagnetic Ising spin-chain on a 1D lattice on the Aquila quantum processor, a neutral-atom quantum computer available on-demand via …
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