Quantum information science promises to hold substantial advantages over classical information by allowing for secure communication, measurement precision below standard limits, and an exponential increase in certain computational problems. Although there have been several recent advances, such as the claims at quantum supremacy with discrete quantum computation (QC), many challenges still remain. One large obstacle is the prevention of decoherence in large entangled systems, which leads to a scalability problem in qubit-based QC. The scalability problem can be solved with cluster states using continuous-variable (CV) quantum-optics, but this comes with its own difficulties. In order to achieve a quantum advantage and allow for error correction with CV systems, it is necessary to include quantum states with non-Gaussian distribution functions.  In this talk, I will discuss several experimentally accessible ways one can generate useful non-Gaussian states with photon-number-resolved detection. Some of these states are desirable for CVQC while others show potential for Heisenberg-limited metrology. I will then introduce our method of efficient quantum state characterization utilizing the photon-number-resolving measurement capabilities in our lab.

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Scalability is the central challenge in universal quantum computing, which has long established revolutionary premises, such as exponential speedup of difficult to near-impossible computations. A promising platform towards scalable quantum computing is the quantum optical frequency comb, which leverages optical frequency multiplexing and produces thousands of unconditional EPR entanglement in a single oscillator. In this talk, I will present our recent work to miniaturize the quantum optical frequency comb to a photonic chip for the first time. Our work brings the power of microfabrication to quantum optical applications, and could enable low cost mass-production, which promises additional scalability. I will also briefly discuss the roadmap and the challenges towards scalable quantum computing with integrated photonic frequency combs. 

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