AWS Quantum Technologies Blog

Tag: PennyLane

Using embedded simulators in Amazon Braket Hybrid Jobs 

Today, we launched a new feature in Amazon Braket Hybrid Jobs, which allows you to run hybrid workloads with simulators that are embedded with your algorithm code. For instance, one of the simulators available in this new feature is the PennyLane Lightning GPU simulator, accelerated by NVIDIA’s cuQuantum library. In this blog post, we show […]

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Accelerate hybrid quantum-classical algorithms on Amazon Braket using embedded simulators from Xanadu’s PennyLane featuring NVIDIA cuQuantum

In 2021, Amazon Braket, the fully-managed quantum computing service from AWS, launched Amazon Braket Hybrid Jobs to provide customers a convenient way to run hybrid algorithms without worrying about managing the underlying infrastructure. With features such as priority access to quantum processing units (QPUs), Amazon Braket Hybrid Jobs is designed for lower latency and faster […]

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QHack 2022 logo with black bird and quantum circuits as guitar strings

QHack 2022 highlights and Amazon Braket Challenge winners announced

Over 3200 developers from across the PennyLane community came together to deliver impactful and creative solutions to quantum computing challenges during the virtual QHack event held February 14-25. Participants joined from 105 countries worldwide, from the high school level all the way through PhDs and professionals. AWS sponsored QHack for the second consecutive year, after […]

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Working with PennyLane for variational quantum algorithms and quantum machine learning

The field of quantum computing today resembles the state of machine learning a few decades ago – in many ways. Near-term quantum algorithms for optimization, computational chemistry, and other applications are based on the very same principles that are used to train a neural network. In machine learning, there was no theoretical proof that a […]

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