Develop and refine physics-based compact models of SOT-MTJ-based pseudo-qubits, including stochastic switching and inter-device coupling.
Develop Verilog-A models and integrate them into circuit-level simulation environments such as Cadence.
Investigate the physical requirements for controlling probabilistic states and representing probability amplitudes in spintronic devices.
Collaborate with project partners on the design and fabrication of SOT-MTJ devices and arrays.
Experimentally characterize standalone devices and coupled arrays, including stochastic switching, synchronization, and entanglement-like correlations.
Investigate quantum-inspired gate operations and system-level demonstrations using networks of pseudo-qubits.
Contribute to proof-of-concept demonstrations, including integer factorization and other quantum-inspired computational problems.
Publish research results in high-quality international journals and conferences and contribute to the dissemination of project results.
Collaborate with researchers in spintronics, probabilistic computing, microelectronics, materials science, and quantum information.
What We Offer
A unique opportunity to work on a high-risk, high-gain research concept exploring a new computational regime between classical probabilistic and quantum computing.
A stimulating research environment within SDU Microelectronics, a growing research section with expertise in spintronics, probabilistic computing, neuromorphic computing, analog/digital IC design, and emerging computing architectures.
Access to advanced facilities for electronic design, device characterization, measurement, and system prototyping.
Close collaboration with INL – International Iberian Nanotechnology Laboratory on spintronic device technology and fabrication.
Opportunities to collaborate with national and international researchers in spintronics, quantum-inspired computing, quantum technologies, and nanoelectronics.
An open, international, and collaborative research environment within SDU’s Faculty of Engineering, supporting interdisciplinary research across electronics, physics, materials science, and computing.
Strong opportunities for developing an independent research profile in an emerging area of probabilistic and quantum-inspired hardware.
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