3 papers indexed
Maria Gragera Garces, Sabina Drăgoi, Lirandë Pira
Circuit cutting promises to scale quantum computations beyond current hardware, but variational quantum advantage also requires low cutting overhead, classical hardness, and trainability. We show that these properties are strongly constrained by entanglement geometry. Matrix prod…
Adam Wesołowski, Dimitrios Thanos, Daniel Leykam, Lirandë Pira
Many datasets encountered across a wide range of domains possess rich geometric and topological structure that is difficult to capture using conventional vector-based representations. Quantum machine learning offers the possibility of processing high-dimensional data in Hilbert s…
Lirandë Pira, Airin Antony, Nayanthara Prathap, Jamika Ann Roque, Daniel Peace, Jacquiline Romero
Photonic chip design has in recent years seen significant advancements with the adoption of inverse design methodologies largelyenabled by the increasing computational efficiency of electromagnetic solvers. However, the often black‐box nature of this optimization method presents…