Application
Development and certification of quantum algorithms in hardware NISQ
Institut de Ciències Fotóniques (ICFO)
Group Description:
ICFO encompasses numerous research groups, both experimental and theoretical, with expertise in quantum computing and simulation. Specifically, the quantum information, ultracold atoms, and quantum optics groups have been dedicated for years to the development of quantum simulators and algorithms capable of studying the most fundamental properties of matter. They also have experience in utilizing machine learning techniques for these purposes. Some examples of their recent works include Nature 608, 293-297 (2022), on experimental quantum simulation, Nature 600 (7890), 625-629 (2018), addressing fundamental questions in quantum mechanics, or the soon-to-be-published book “Modern applications of machine learning in quantum sciences.”
Activity description:
This activity will focus on the study of quantum algorithms and quantum-inspired approaches for solving optimization, simulation, and artificial intelligence problems. It will also explore methods for certifying the obtained results and, more generally, the performance of quantum computers.
Results
Multiparameter quantum metrology and mode entanglement with spatially split nonclassical spin ensembles Journal Article
In: New Journal of Physics , vol. 25, iss. 7, 2025.
Sublattice scars and beyond in two-dimensional 𝑈(1) quantum link lattice gauge theories Journal Article
In: Physical Review Research, vol. 109, iss. 3, no. 34519, 2024.
Frustrated magnets without geometrical frustration in bosonic flux ladders Journal Article
In: vol. 5, iss. 4, pp. 42008, 2023.
Quantum-enhanced multiparameter estimation and compressed sensing of a field Journal Article
In: SciPost Physics, vol. 14, iss. 3, pp. 50, 2023.




