Quantum Information Researcher at Equal1 (Dublin, Ireland)Quantum Information Researcher

We are seeking a highly skilled and motivated researcher to join our Theory of Quantum Computing (TQC) team. In this role, you will play a key part in advancing Equal1’s quantum technology through noise characterisation, benchmarking techniques, mathematical modelling, and simulation of quantum error mitigation protocols, tailored to our hardware specifications (noise characteristics, qubit topology, and resource constraints).

You will collaborate closely with the Algorithms and Quantum Measurements teams to support the implementation of relevant techniques, analyse and interpret results, and deliver clear reports and presentations on performance across a range of quantum protocols.

• Research and development of modern quantum error mitigation, noise characterisation and benchmarking techniques.
• Simulation and implementation of the relevant techniques for Equal1’s hardware platform.
• Prepare research outputs for publication, conference presentation, and internal technical documentation.
• Work in collaboration with the Algorithms team to develop/improve new algorithms and mitigation techniques.
• Maintain continuous awareness of global developments in quantum error mitigation and hybrid computation methods.
• Participate in internal seminars and contribute to cross-functional knowledge exchange.

• MSc. or PhD in quantum computation or theoretical/mathematical physics, or similar work experience in industry.
• A track record of publications and effective collaboration in research teams.
• Min. 2 years of experience working in quantum computing.
• Excellent verbal and written communication skills.
• Ability to work at both the theoretical level and the practical level.
• Good programming skills (preferably Python).

• Experience in working with semiconductor spin-based qubits.
• Proficiency in hardware-aware design for spin-based qubit systems.
• Experience with Stochastic Processes.
• Experience with Quantum Error Mitigation algorithms.
• Experience with informationally complete measurements, gate-set tomography, and classical shadows.