Photonic Quantum Reservoir Computing

光子QRC项目的总体目标是实现光子量子水库计算(QRC)，作为利用量子物理的全功能下一代神经网络(NN)计算系统。利用光子学的独特优势，可以实现实现基于网络的计算所必需的可伸缩并行，而量子硬件将希尔伯特空间的指数维度带给NNS。PhotonicQRC将通过以下方式加强法国和德国在新型量子计算中的全球地位：(1)开发针对光子硬件而优化的量子NN架构；(2)基于广泛的理论研究(考虑到光子硬件平台的缺陷)，建立对QRC前景和局限性的基本了解；(3)通过在新的量子环境中展示独特的硬件友好的库计算(RC)概念，扩展量子计算(QC)硬件；以及(4)引入基准评估和测试，以展示RC的量子优势。因此，我们的跨学科项目的影响将远远超出QC和NN社区。

The overarching goal of the PhotonicQRC project is to realize photonic quantum reservoir computing (QRC) operating as a fully functional next-generation neural network (NN) computing system exploiting quantum physics. Leveraging advantages unique to photonics enables the scalable parallelism essential to implement network-based computing, while quantum hardware brings exponential dimensionality of a Hilbert space to NNs. PhotonicQRC will strengthen the role of France and Germany on the global landscape in novel quantum computing by (1) developing quantum NN architectures optimized for photonic hardware, (2) establishing a fundamental understanding of QRC prospects and limitations based on extensive theoretical investigations that take imperfections of the photonic hardware platforms into account, (3) extending quantum computing (QC) hardware by demonstrating the uniquely hardware-friendly concept of reservoir computing (RC) in a novel quantum context, and (4) introducing benchmark evaluations and tests to demonstrating quantum advantage for RC. The impact of our interdisciplinary project will therefore go far beyond the QC and NN communities.