Engineering Quantum Light in Integrated Photonic Platforms: From Solid-State Emitters to Programmable Quantum Dynamics
Time: Wed 2026-06-10 10.00
Location: Q2, Malvinas väg 10, Stockholm
Language: English
Subject area: Optics and Photonics Material and Nano Physics
Doctoral student: Govind Krishna , Ljus och materiens fysik, Q-PHOTON — Quantum Photonic Hardware for Optical Technologies and Computing
Opponent: Associate professor Yunhong Ding, Denmark Technical University
Supervisor: Associate professor Ali W. Elshaari, Ljus och materiens fysik
QC 20260518
Abstract
Quantum mechanics endows light with properties that have no classical analogue - superposition, entanglement, and non-classical photon statistics, that can be harnessed as resources for computing, communication, sensing, and simulation. After decades of foundational research, quantum states of light can now be generated, manipulated, and measured with sufficient precision that their non-classical properties are no longer merely curiosities, but engineerable resources.
Integrated photonics offers a compelling path forward. By confining light in lithographically defined waveguides on a chip, it replaces fragile bulk optical assemblies with compact, phase-stable, and reproducible circuits. Semiconductor quantum dots embedded in photonic nanostructures provide bright, on-demand single-photon emission compatible with waveguide integration, while superconducting nanowire single-photon detectors provide the efficiency and timing precision that quantum optical measurements demand. A particularly powerful frontier is reconfigurability: programmable photonic circuits whose functionality is defined in software can serve as versatile quantum photonic processors without any physical modification.
This dissertation presents work on engineering quantum light across the full chain of generation, control, and detection using integrated photonic platforms. It covers coherent control of nanowire quantum dot emitters, generation of multipartite entangled states on a silicon nitride chip, and the use of programmable silicon-on-insulator interferometers as reconfigurable quantum optical processors for simulating quantum systems.