57 citations · 57 across the 5 of their papers we have counts for
3 papers · 2 filters
Exploiting biased noise in variational quantum models
Connor van Rossum, Sally Shrapnel, Riddhi Gupta
Variational quantum algorithms (VQAs) are promising tools for demonstrating quantum utility on near-term quantum hardware, with applications in optimisation, quantum simulation, an…
Quantum advantage without exponential concentration: Trainable kernels for symmetry-structured data
Laura J. Henderson, Kerstin Beer, Salini Karuvade +3
Quantum kernel methods promise enhanced expressivity for learning structured data, but their usefulness has been limited by kernel concentration and barren plateaus. Both effects a…
Characterizing noisy quantum computation with imperfectly addressed errors
Riddhi S. Gupta, Salini Karuvade, Kerstin Beer +2
Quantum protocols on hardware are subject to noise that prohibits performance. Protocols for addressing errors, such as error correction or error mitigation, may fail to combat err…