PhD - Leuven | Just now
Advance Quantum Computing by exploring low-power control circuits at milli-Kelvin temperatures.
Quantum computing emerges rapidly as a research field with the potential to bring to practice technologies exploiting massive parallelism and to push computational power way beyond the contemporary realm for a certain class of problems. Because of fundamental limits to the tolerable operating temperature of some of the leading candidate-qubits, one major hurdle towards large-scale integration is their interface to the classical control circuitry required to operate them.
A promising approach to overcome this problem is to deploy traditional CMOS circuitry in cryogenic environments for efficient operation of future quantum computers by reducing limitations due to wiring and signal integrity. One of the major hurdles for large-scale deployment of circuits at 4K or mK temperatures is their power consumption, motivating efforts in reducing the circuit operating voltage by leveraging the back-gate of fully depleted silicon-on-insulator (FDSOI) devices.
Applying large voltages to the back-gate however raises concerns on the stability and the parameter drift of devices and circuits due to charge trapping in the buried oxide. On top of that, device-to-device variations may turn out as a limiting factor in the race for the reduction of noise as well as static and dynamic power consumption of circuits. Understanding the impact of time-zero and time-dependent variability due to charge trapping at the front- and back-oxides of FDSOI devices and circuits is therefore of great importance to help optimizing cryogenic circuits.
What you will do:
Who you are:
Figure 1: Static and dynamic power consumption of a cryo-CMOS multiplexer in 28nm bulk technology operated at mK temperatures. The goal of this PhD will be to show pathways to minimize power consumption by exploring the limits of supply voltage scaling on FDSOI transistors.
Required background: electrical engineering, microelectronics, physics, or related fields
Type of work: 40% electrical characterization of CMOS devices at various temperatures, 40% data analysis and modeling, 20% literature research
Supervisor: Kristiaan De Greve
Daily advisor: Anton Potocnik, Alexander Grill, Arnout Beckers
The reference code for this position is 2024-039. Mention this reference code on your application form.