Quantum Algorithms

Hybrid Classical-Quantum Algorithms

Macaluso A., Clissa L., Lodi S., Sartori C. (2020) A Variational Algorithm for Quantum Neural Networks. In: Krzhizhanovskaya V. et al. (eds) Computational Science – ICCS 2020. ICCS 2020. Lecture Notes in Computer Science, vol 12142. Springer, Cham. https://doi.org/10.1007/978-3-030-50433-5_45

Eventual applications of quantum computing span a vast range, from breaking cryptographic systems to revolutionizing the design of new medicines. These groundbreaking applications are made possible by the advent of quantum algorithms, which run on quantum computers and achieve remarkable speedups and efficiency improvements compared to classical algorithms. Quantum algorithms leverage the unique principles of quantum mechanics, enabling us to tackle complex problems that were once considered insurmountable. Our research team understands the immense potential of quantum algorithms and is dedicated to developing tailored approaches that account for the limitations of current NISQ devices. This is why we are actively engaged in exploring the potential of variational quantum algorithms (VQAs), with a particular focus on the development of the Variational Quantum Eigensolver (VQE). The VQE algorithm plays a crucial role in estimating the ground-state energy of quantum systems, opening doors to applications in chemistry, materials science, and beyond. These algorithms take into consideration factors such as limited qubit numbers, restricted qubit connectivity, and coherent and incoherent errors. By addressing these challenges head-on, we strive to maximize the capabilities of NISQ devices, pushing the boundaries of quantum computing and paving the way for transformative advancements.

Mohamed Taha Rouabah
Mohamed Taha Rouabah
Associate Professor of Physics

ARISE Fellow, Principal Investigator at Constantine Quantum Technologies, Associate Professor at University of Constantine 1 (Algeria).

Abdellah Tounsi
Abdellah Tounsi
Ph.D student in Theoretical Physics

PhD student in mathematical physics at LPMPS. Working on topological quantum computing.

Mohamed Messaoud Louamri
Mohamed Messaoud Louamri
Ph.D student in Theoretical Physics

PhD student in Theoretical Physics and member of CQTech working on Quantum Simulation and on Optimization Problems.

Nacer eddine Belaloui
Nacer eddine Belaloui
Ph.D student in Theoretical Physics

PhD student in Theoretical Physics. Working on Cold Atoms and Quantum Computing.