30 citations · 42 across the 6 of their papers we have counts for
4 papers · 2 filters
Variational Quantum Algorithms
M. Cerezo, Andrew Arrasmith, Ryan Babbush +8
Applications such as simulating complicated quantum systems or solving large-scale linear algebra problems are very challenging for classical computers due to the extremely high co…
Effect of barren plateaus on gradient-free optimization
Andrew Arrasmith, M. Cerezo, Piotr Czarnik +2
Barren plateau landscapes correspond to gradients that vanish exponentially in the number of qubits. Such landscapes have been demonstrated for variational quantum algorithms and q…
Unified approach to data-driven quantum error mitigation
Angus Lowe, Max Hunter Gordon, Piotr Czarnik +3
Achieving near-term quantum advantage will require effective methods for mitigating hardware noise. Data-driven approaches to error mitigation are promising, with popular examples…
Operator Sampling for Shot-frugal Optimization in Variational Algorithms
Andrew Arrasmith, Lukasz Cincio, Rolando D. Somma +1
Quantum chemistry is a near-term application for quantum computers. This application may be facilitated by variational quantum-classical algorithms (VQCAs), although a concern for…