AWS Quantum Technologies Blog
Tag: NVIDIA
Accelerating the Quantum Toolkit for Python (QuTiP) with cuQuantum on AWS
Simulating quantum systems using classical computers remains a computational challenge. In fact, the resources required for these simulations scale exponentially with the size of the system being simulated. This fact is at the core of the motivation to build a quantum computer. Quantum computers have the potential to surpass even the most powerful supercomputers when […]
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 […]
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 […]