Zohim Chandani

7 hours ago This as-told-to essay is based on a conversation with Maitri Mangal, a 26-year-old software engineer at Google, based in New York. Her identity and employment have been verified by Business Insider. The following has been edited for length and clarity. When I started off as a software engineer, my …

CUDA Quantum is an open-source programming model for building quantum-classical applications. Useful quantum computing workloads will run on heterogeneous computing architectures such as quantum processing units (QPUs), GPUs, and CPUs in tandem to solve real-world problems. CUDA Quantum enables the acceleration of such applications by providing the tools to program these computing architectures harmoniously. The ability to target multiple QPUs and GPUs is essential to scale quantum applications.

Heterogeneous computing architectures—those that incorporate a variety of processor types working in tandem—have proven extremely valuable in the continued scalability of computational workloads in AI, machine learning (ML), quantum physics, and general data science. Critical to this development has been the ability to abstract away the heterogeneous architecture and promote a framework that makes designing and implementing such applications more efficient.