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/Job opportunities/PhD research on optical interconnects for cryogenic quantum computing

PhD research on optical interconnects for cryogenic quantum computing

PhD - Leuven | More than two weeks ago

An application-oriented research exploration on how optics might help to overcome the upscaling bottleneck of current cryogenic quantum computing.

Quantum information technology promises unique possibilities for Science and Society (Secure communication, Resource Optimization, or Drug Design). Yet, enabling this technology is a monumental task, which requires a large variety of technological advancement to enable low-cost chip-scale quantum technologies. For instance, cryogenic quantum computing based on superconducting circuits requires large numbers of electrical interconnects between the room temperature control electronics and the millikelvin quantum chip, which puts a heavy burden on the scaling cost of such systems.
In this PhD, we will explore the potential of optical interconnects to replace the multitude of electrical wires with a few optical glass fibers. At the core of such an architecture are electro-optical switches and modulators. And while the field of electro-optics is well explored for classical room temperature application, it is still an emerging field in the cryogenic domain. In the framework of your PhD, we will create new electro-optic device architectures that operate at temperatures of millikelvins, are sensitive enough to encode the weak classical electrical signals onto a light beam and can be integrated within superconducting circuits.
The research environment provides unique opportunities for your personal and professional development by exploring academic research within IMEC - an organization that has a strong drive to enable fundamental research to solve society ’s challenges.


Required background: Masters in Physics or Electrical Engineering. Experience in Photonics and/or Superconducting Circuits/Qubits is an asset. Experience in Nanotechnology fabrication is an asset.


Type of work: 60% Experiments (Technology & Characterization), 20% Theory, 20% Modeling

Supervisor: TBD

Daily advisor: Christian Haffner

The reference code for this position is 2021-126. Mention this reference code on your application form.

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