Generation of non-Gaussian states of light using nonlinear materials

事实上，光在室温下不会退相干，并且围绕它已经建立了非常重要的工业能力，这使得光子学成为建造量子计算机的有力竞争者。有一天，这些计算机可以解决化学和材料科学领域的问题，这些问题是任何现在或未来的经典超级计算机都无法解决的。此外，光子量子计算的光源、探测器、材料或算法的设计进展，将立即惠及光已经占主导地位的其他领域，如通信和计量。我的研究计划旨在发展支撑下一代明亮光源的理论，这些光源需要用于构建量子计算机和量子中继器进行通信。第一个目标是突破预先状态生成所能达到的极限。我的研究计划将通过解决如何在单时间模式下产生压缩光的基本问题来显著扩展这一领域，该模式适用于涉及多个模式的一般预警方案。在获得单时间模式压缩光的最佳协议后，我的团队的第二个目标是与工业界的合作伙伴合作，开发机器学习工具，以找到可用于创建有用状态的最佳干涉电路，以进行纠错。第三个目标是开发新的分类算法，以加快任何预警方案所必需的检测器的读出速度。作为一个长期目标，我们的目标是利用新的材料和平台来超越压缩光，并开发新的方案来确定地产生非高斯光，这种光可以以容错的方式编码量子信息。这将使许多量子协议在生成阶段不再需要预告和检测。我们将利用被称为张量网络的工具来研究色散、损耗和非线性是关键因素的光子系统，并将这些工具实现为高质量和高性能的科学软件。本项目的研究结果将直接应用于光子量子信息处理和模拟光子系统中复杂的量子非线性动力学。完成后，该项目将培养3名博士和1名硕士学生，他们在光子学、量子光学、量子计算、量子软件和工程方面拥有广泛的技能。这些技能将非常需要支持加拿大量子和光子技术产业的优先领域。

The fact that light does not decohere at room temperature and that there is already very significant industrial capacity built around it makes photonics a strong contender to build quantum computers. These computers could one day solve problems in chemistry and material science that are simply beyond the reach of any present or future classical supercomputer. Moreover, progress in the design of sources, detectors, materials or algorithms for photonic quantum computing will immediately benefit other areas where light already dominates, like communication and metrology. My research program aims at developing the theory underpinning the next generation of bright light sources needed for building quantum computers and quantum repeaters for communication. A first goal is to push the limits of what can be achieved in terms of heralded state generation. My research program will expand this space significantly by solving the fundamental problem of how to generate squeezed light in a single-temporal mode that is appropriate for general heralding schemes involving more than a pair of modes. Having obtained optimal protocols for single-temporal mode squeezed light, a second goal of my group, in collaboration with partners in industry, will be to develop machine-learning tools to find optimal interferometric circuits that can be used to create useful states for error correction. A third goal is to develop new classification algorithms to speed-up the readout of the detectors necessary for any heralding scheme. As a longer term goal, we aim at taking advantage of new materials and platforms to go beyond squeezed light and develop new proposals to deterministically generate non-Gaussian light that can encode quantum information in a fault tolerant manner. This will do away with the need for heralding and detection at the generation stage of many quantum protocols. We will leverage tools known as tensor networks to study photonic systems where dispersion, loss and nonlinearity are critical factors and will implement these tools as high quality and performance scientific software. The findings of this program will have direct applications in photonic quantum information processing and our ability to simulate complex quantum nonlinear dynamics in photonic systems. At completion, the program will have trained 3 PhD and 1 MSc students with a broad set of skills in photonics, quantum optics, quantum computing, and quantum software and engineering. These skills will be highly needed to support priority areas in Canada's quantum and photonic technology industries.