Research
BasQ focuses on the exploration and development of research around Quantum Technologies
BasQ seeks to consolidate and expand scientific leadership in multiple fields and bring research results closer to industrial exploitation, applying research innovations to develop new types of devices, materials and computing techniques.
Research areas
Research projects BasQ-IBM
Within BasQ´s general strategic approach, aimed at the development of fundamental knowledge and practical applications through cutting-edge projects in basic and applied research, the alliance with IBM aims to generate greater research, visibility, and collaborations around quantum computing in the Basque Country.
Within this framework, BasQ and IBM have signed multiple Joint Research Agreements (JRAs) to collaborate on research activities in areas such as Quantum Information Science, Quantum Computational Methods, Quantum Algorithms and Quantum Machine Learning.
Joint Research Agreement 1
Topic: Error mitigation methods for Quantum Dynamics problems
Overall goal: Design optimized quantum simulation methods for certain quantum dynamic phenomena and demonstrate sufficient noise reductions through error mitigation for those.
Specifically:
- CFM/MPC and IBM collaboration in the study of quantum error mitigation for out of equilibria phenomena in quantum spin chains.
- CFM/MPC and IBM collaboration in the study of quantum error mitigation for dynamics of molecules coupled to optical cavities.
- DIPC and IBM collaboration in the study of Krylov subspace methods for ground state estimation for problems arising in quantum chemistry and Lattice-based Hamiltonians.
- Universidad de Navarra/TECNUN and IBM collaboration in the study of projected Lindblad dynamics approaches for device error mitigation.
Joint Research Agreement 2
Topic: Quantum Kernel-based methods for classification & detection problems
Overall goal: Devise and apply scalable quantum Kernel-based machine learning techniques for certain classification and detection problems in physics and material science.
- DIPC and IBM collaboration in the study of approaches based on tensor networks on quantum contextual optimal transport and their performance for use cases in quantum machine learning.
- UPV/EHU and IBM collaboration in the study of quantum kernel methods for the computation of phase diagrams in many body physics.
- DIPC and IBM collaboration in the study of quantum machine learning problems for classification and detection problems arising in many body physics.
- Universidad de Navarra/TECNUN and IBM collaboration in the study of projected Lindblad dynamics based approaches for device error mitigation and quantum dynamics problem in many body physics.
Joint Research Agreement 3
Topics: i) High-energy and particle physics and ii) Biophysics and medicine
Overall goal: i) Design optimized quantum simulation methods for fundamental problems in particle physics and ii) devise and apply scalable quantum machine learning techniques for certain problems in biophysics & medicine
- DIPC and IBM collaboration in the study of optimized quantum simulation methods and their performance for particular fundamental problems in particle physics.
- UPV/EHU, Universidad de Navarra/TECNUN and IBM collaboration in the study of quantum machine learning methods for particular challenges in healthcare, biophysics & medicine.