Junior Research Fellow – Theory of photonic quantum computation

at  International Iberian Nanotechnology Laboratory

Description
Junior Research Fellow – Theory of photonic quantum computation
Job Reference: Ref.09.24.51
Employer: International Iberian Nanotechnology Laboratory (INL)
Location: Braga, Portugal
Group/Unit: Galvão Research Group
Number of Vacancies: 3
Employment Type: Full time
Contract Duration: 12 months
Open Date for Applications: October 22nd, 2024
Closing Date for Applications: November 12th, Year, 23h00m (Lisbon Time)
Key words: #quantumcomputation #integratedphotonicchips #photonics #measurement-basedquantumcomputation

OVERVIEW

The Galvão research group at INL develops three main theoretical research lines: photonic quantum computation, foundations of quantum computation, and quantum software engineering. The group currently counts with approximately 35 members, including 3 staff researchers (Ernesto Galvão, Rui Soares Barbosa, Leonardo Novo), 2 associate Professors at the University of Minho (Luís Soares Barbosa, Luís Paulo Santos), 2 postdocs, and many graduate students. The group coordinates Horizon Europe project FoQaCiA, and is a partner in 2 on-going EC-funded projects developing theory for photonic quantum computation: EPIQUE “European Photonic Quantum Computer” and QU-BOSS “Quantum Advantage via Non-linear Boson Sampling”. For more information on the group’s activities please check the website https://inl.int/research-groups/galvao-research-group/
We are looking for 3 qualified junior research fellows to join our team to do theoretical and computational investigation under the project QU-BOSS, coordinated by the University of Rome La Sapienza and with two partners: INL and Consiglio Nazionale Delle Ricerche (Milan), Grant Agreement ID 884676. For more information on the project’s activities see https://www.quantumepique.eu/.
The envisaged research topics for the junior research fellows include architectures for scalable photonic quantum computation (based on measurement-based quantum computation concepts), near-term models of quantum computation suitable for photonic platforms, and techniques for benchmarking the resources used in this kind of quantum computer: photonic indistinguishability, coherence, and various notion of nonclassicality.
The research to be undertaken under INL’s contract will have its results publicly shared, and is compatible with pursuing a concomitant doctorate.
Job Duties

The job duties will include some combination of the following topics, broadly understood:

• Numerical simulation of error-correcting codes suitable for photonic measurement-based quantum computation;
• Characterisation of photonic indistinguishability, coherence, and other resources for photonic quantum computation;
• Development of device validation techniques, including classical simulation and modelling;
• Devising proof-of-concept experiments using reconfigurable interferometers for hybrid quantum computation, quantum machine learning, and other suitable information-processing tasks.

Mandatory Qualifications

EDUCATION

• Master’s degree in Physics, Physical Engineering, Computer Science, Mathematics, or other related field.*
• candidates finishing their Master degree until December 2024 will still be considered

Experience and Technical Skills

• Experience with advance study, or research, on quantum computation and/or quantum optics;
• Knowledge of quantum mechanics and quantum information concepts;
• Programming ability is valued.

PERSONAL SKILLS

• “Hands-on” approach together with a high commitment in respecting working deadlines;
• Problem Solving ability;
• Ability to work independently and as team player;
• Good communication skills.

• Numerical simulation of error-correcting codes suitable for photonic measurement-based quantum computation;
• Characterisation of photonic indistinguishability, coherence, and other resources for photonic quantum computation;
• Development of device validation techniques, including classical simulation and modelling;
• Devising proof-of-concept experiments using reconfigurable interferometers for hybrid quantum computation, quantum machine learning, and other suitable information-processing tasks