April 10, 2024, 4:42 a.m. | Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Andreas Maier

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.06314v1 Announce Type: cross
Abstract: Quantum computer simulation software is an integral tool for the research efforts in the quantum computing community. An important aspect is the efficiency of respective frameworks, especially for training variational quantum algorithms. Focusing on the widely used Qiskit software environment, we develop the qiskit-torch-module. It improves runtime performance by two orders of magnitude over comparable libraries, while facilitating low-overhead integration with existing codebases. Moreover, the framework provides advanced tools for integrating quantum neural networks with …

abstract algorithms arxiv community computer computing cs.lg cs.se efficiency environment frameworks integral networks neural networks performance prototyping qiskit quant-ph quantum quantum computer quantum computing quantum neural networks research simulation software tool torch training type

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