The Quantum and High Performance Computing group (QHPC) was formally created in 2019, as an evolution of the Information Retrieval and Parallel Computing group (IRPC, 2004). The new group incorporates, to the already traditional High Performance Computing, two new research lines: Quantum Computing and Biosignals Processing.

In quantum computing, properties of subatomic particles such as entanglement, superposition and interference are exploited in order to obtain speedups over what is possible with classical computers. Paramount examples include Shor's factoring algorithm (with a quasi-exponential speed-up over the best known classical algorithm for the same task) and Grover's algorithm (which is quadratically faster than black-box classical search algorithms).
From the point of view of quantum computing, the QHPC group has conducted research in theoretical and applied aspects of quantum computing, including the development of new algorithms for the study of algebraic structures, the study of quantum machine learning methods and the implementation of low-level arithmetic operations with quantum circuits. This has led to publications in several of the top international scientific journals of the field.
The research team has also incorporated new collaborations with some of the most prominent actors in quantum technologies in Spain and Europe, including IBM Spain, several of the top Spanish universities, CTIC Foundation, ETH Zürich, the University of Lisbon, Cambridge Quantum Computing and CERN.

Biosignals processing is a trend research line worldwide, experimenting a huge development with the help of new processing algorithms and devices, allowing to overcome limitations and costs of standard medical equipment. Moreover, technology starts to provide the background to perform real-time monitoring, with non-invasive sensors, ensuring a safer track of different biomarkers and diseases.
The group is working on sound source separation algorithms, estimation of biomarkers and IoT solutions including computational aspects such as energy efficiency, high-performance processing, and disruptive technologies. As expected, the group works in collaboration with other research groups from other universities and hospitals.