Candidate: Rubaya Absar
Date: July 21, 2026
Time: 1:00 PM
Location: Online
Supervisor: Lan Wei
Co-Supervisor: Jonathan Baugh
All are welcome!
Abstract:
Silicon quantum-dot spin qubits are a promising platform for scalable quantum computing due to their compatibility with advanced CMOS fabrication technologies and their potential for large-scale integration. However, realizing practical quantum processors requires not only high-performance qubits but also efficient cryogenic control electronics and simulation methodologies that enable the joint design and evaluation of quantum devices and classical control circuits. Existing quantum simulation frameworks typically operate separately from SPICE-based circuit simulators, preventing realistic circuit-generated control waveforms and hardware non-idealities from being directly incorporated into quantum simulations.
This seminar presents a SPICE-compatible compact model and a unified quantum–classical co-simulation framework for silicon quantum-dot spin qubits. The compact model captures qubit dynamics using a density-matrix formulation with voltage-dependent Hamiltonian parameters extracted from device-level simulations. Integrated with cryogenic CMOS control circuits, the framework enables realistic control waveforms and circuit non-idealities to be propagated directly to quantum-state evolution and gate-fidelity metrics. The seminar also presents a scalable current-steering control architecture for global and local qubit addressing. Simulation results demonstrate representative single- and two-qubit gate operations and quantify the impact of practical control-electronics non-idealities on quantum performance. The proposed framework provides a practical methodology for the development and evaluation of scalable silicon quantum processors and their supporting cryogenic control electronics.