To deliver high-connectivity amongst a network of processing modules, recent architectural proposals for scalable quantum technologies consider the use of spin qubits in the solid-state with remote entanglement mediated by photons. Among these solid-state solutions, the T centre in silicon has recently emerged as a strong candidate for quantum applications. In this talk, using the T centre platform with a silicon-integrated spin-photon interface, we demonstrate the fundamental building blocks of a remote-entanglement based architecture.

Dynamical properties are crucial to understand in order to obtain accurate descriptions of many systems, including photonics based ones. In this talk, I discuss how dynamical properties from quantum systems can be simulated on matrix product states. I will pay particular attention to how new methods perform for excited state properties in particular application to simulating Floquet dynamics. Lessons for the simulation of large-scale quantum circuits and other cases of interest can be simulated with open-source libraries such as DMRjulia, a publicly available tensor network library used in my group. Acknolwedgements: This research was undertaken, in part, thanks to funding from the Canada Research Chairs Program. This presentation is made possible by a grant from the Vice President of Research and Innovation's office at the University of Victoria under the Aspirational Research Cluster program for quantum-photonics, algorithms, and light-matter interactions for technology (QuALITy).

We review the most recent applications of photonic quantum walks based on structured light, focusing on the simulation of topological phases and the development of strategies for measuring an unknown Hamiltonian's topological and geometrical properties.

We present two linear optical experimental schemes aimed at compressing multiple equatorial state qubits into a singular equatorial state qubit. Each of these m identical qubits encodes an unknown parameter within its relative phase. Our techniques ensure the conservation of Quantum Fisher Information on average, effectively minimizing the quantum memory needed to store these qubits from m to one. This significant reduction in memory requirement enhances flexibility in quantum metrology tasks by allowing the postponement of selecting a quantum measurement observable.