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.

01.

Joint Research Agreement 1 (2024)
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:

  1. CFM/MPC and IBM collaboration in the study of quantum error mitigation for out of equilibria phenomena in quantum spin chains.
  2. CFM/MPC and IBM collaboration in the study of quantum error mitigation for dynamics of molecules coupled to optical cavities.
  3. 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.
  4. Universidad de Navarra/TECNUN and IBM collaboration in the study of projected Lindblad dynamics approaches for device error mitigation.

 

 

02.

Joint Research Agreement 2 (2024)
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.

  1. 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.
  2. UPV/EHU and IBM collaboration in the study of quantum kernel methods for the computation of phase diagrams in many body physics.
  3. DIPC and IBM collaboration in the study of quantum machine learning problems for classification and detection problems arising in many body physics.
  4. 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.
03.

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

  1. DIPC and IBM collaboration in the study of optimized quantum simulation methods and their performance for particular fundamental problems in particle physics.
  2. UPV/EHU, Universidad de Navarra/TECNUN and IBM collaboration in the study of quantum machine learning methods for particular challenges in healthcare, biophysics & medicine.
04.

Joint Research Agreement 1 (2025)
Topics: i) Quantum Computing Flagship Calculations for SIESTA (SIESTA-QCF) ii) Showing Quantum Utility for Ground State Estimation in Many Body Physics (SQUGSMB) and iii) Advancing Quantum Many-Body Simulations with NISQ Computers and AI Integration (AquaNISQ)

Overall goal: Development of scalable quantum computing techniques, demonstration of their utility for many-body physics and chemistry simulations on IBM Quantum systems, and the evaluation of the noise reduction through error mitigation.

  1. The Material Physics Center and IBM collaboration in the study of quantum error mitigation in the dynamics of time crystals, combining their expertise to produce reports detailing the methods applied and the noise reductions achieved.
  2. CIC nanoGUNE and IBM collaboration in the exploration of hybrid classical-quantum approaches using DFT embeddings for electronic structure calculations, combining their expertise to produce reports detailing the results obtained.
  3. The Donostia International Physics Center and IBM collaboration in the study of quantum phase transitions in lattice gauge theory using Krylov subspace methods, aiming to produce reports detailing the method’s performance.
05.

Joint Research Agreement 2 (2025)
Topics: i) Extrapolation of Von Neumann Dynamics beyond the reach of current Utility Scale Devices (VNDExUSD) ii) Quantum Simulation of Turbulent Regimes with Enhanced Algorithms (Q-STREAM)

Overall goal: Development of  scalable quantum computing techniques for equations in mathematical physics, demonstration of their utility on IBM Quantum systems, and the evaluation of the effectiveness of error mitigation in reducing noise.

  1. The BCAM and IBM collaboration in the exploration of quantum computing approaches for equations in mathematical physics, producing reports on the methods applied and results obtained using quantum computing systems.
  2. The Universidad de Navarra and IBM collaboration in the study of quantum signal extrapolation for device error mitigation, aiming to produce reports detailing the accuracy improvements achieved.