PASQAL and Companions Develop Quantum Algorithm to Assist Plan Mobile Networks

Researchers from PASQAL and LINKS with help from CINECA have efficiently carried out a noise-resilient, hybrid quantum-classical algorithm on a PASQAL quantum pc. This algorithm addresses the Bodily Cell Identifier (PCI) task drawback in mobile networks, which is essential for environment friendly knowledge switch as smartphones transfer from one cell tower to a different. The algorithm exploits the traits of the PASQAL machine, making it immune to variations within the outcomes. It’s notably efficient for giant graphs the place classical computing strategies can be exponentially slower. The PASQAL {hardware}, which makes use of lasers to seize and manipulate atoms, is right for fixing graph-based issues like PCI impairments.

The researchers ran an experiment to resolve 4 graphs utilizing the hybrid quantum-classical algorithm. In all circumstances, the algorithm efficiently discovered an optimum coloring answer, demonstrating its reliability even within the presence of noise within the Quantum Course of Unit (QPU). This novel algorithm lays the groundwork for effectively fixing the PCI task drawback in mobile networks and has potential purposes in different areas. Using quantum gadgets and impartial atom applied sciences could also be key to fixing urgent industrial and scientific issues.

Further info could be present in a information launch accessible right here. Additionally a technical weblog that gives particulars in regards to the algorithm has been posted on the PASQAL web site right here.

February 8, 2024