Quantum information science promises to hold substantial advantages over classical information by allowing for secure communication\, measurement precision below standard limits\, and a n exponential increase in certain computational problems. Although there h ave been several recent advances\, such as the claims at quantum supremacy with discrete quantum computation (QC)\, many challenges still remain. On e large obstacle is the prevention of decoherence in large entangled syste ms\, which leads to a scalability problem in qubit-based QC. The scalabili ty problem can be solved with cluster states using continuous-variable (CV ) quantum-optics\, but this comes with its own difficulties. In order to a chieve 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 ac cessible ways one can generate useful non-Gaussian states with photon-numb er-resolved detection. Some of these states are desirable for CVQC while o thers show potential for Heisenberg-limited metrology. I will then introdu ce our method of efficient quantum state characterization utilizing the ph oton-number-resolving measurement capabilities in our lab.

\n DTSTART:20210222T210000Z LOCATION:Online\, Room via Zoom SUMMARY:Quantum state engineering with photon-number-resolved detection END:VEVENT END:VCALENDAR