As early as August this year, Amazon cloud services (AWS) officially launched Amazon bracket, which aims to provide remote access to cloud hosted quantum computing simulators and real quantum hardware.Since then, it has been integrated into high-end services such as orquestra to help enterprises and other customers achieve better quantum software development. Today, however, AWS announced two major updates to Amazon bracket.
(photo from pennylane, viaAWS)
First, Amazon bracket already supports pennylane. As an open source software framework for hybrid quantum computing and quantum machine learning applications, it also supports pytorch and tensorflow natively.
Combined with Amazon braket and pennylane, customers will be able to train quantum circuits similar to traditional neural networks with the help of general machine learning libraries. Since the parallel implementation, the process has been speeded up tenfold.
In addition to pre installation, users can deploy braket pennylane plug-ins in the integrated development environment (IDE). After the operation is completed, the quantum circuit can be trained through the familiar machine learning library like neural network.
In addition, AWS extends the simulator options available on bracket. In addition to maintaining the appropriate state simulator that can simulate 34 qubit computers, the newly added tensor network simulator also supports circuit simulation of up to 50 qubits.
To sum up, this Amazon braket update greatly enriches the larger quantum bits that customers can use, and further explores and optimizes the quantum algorithm.