Biography
Dr Frederico Martins is a solid-state physicist with over a decade of experience in quantum computing using spin qubits. He currently leads the Spin Qubit team at QuantrolOx, a University of Oxford spinout developing machine-learning-based software to automate the tuning and control of quantum processors. Prior to this, he led the Quantum Information research team at Hitachi Cambridge Laboratory, embedded within the Cavendish Laboratory at the University of Cambridge.
Dr Martins has conducted research across six countries — France, Belgium, Denmark, Australia, Austria, and the United Kingdom — where he has contributed to the fundamental understanding of quantum phenomena in nanoscale devices. His work spans electron interference, Coulomb blockade, and quantum Hall effects, with a focus on developing scalable, high-fidelity spin qubit platforms for quantum information processing.
Current Research Projects
Machine learning for quantum device control
Research Interest
Dr Frederico Martins’ research focuses on the development and control of spin qubits in semiconductor nanostructures for quantum computing applications. He is particularly interested in combining solid-state device physics with machine-learning techniques to automate the tuning, calibration, and scaling of quantum processors. His work addresses challenges in multi-dot systems, including quantum dot formation, charge sensing, and Pauli spin blockade detection, with an emphasis on high-fidelity spin manipulation and readout. He is especially interested in the problem of scaling spin-based quantum devices, aiming to enable larger and more robust quantum architectures.
Through industry-academic collaborations, he contributes to advancing scalable, reliable quantum technologies by bridging cutting-edge quantum hardware with intelligent software systems.
