Andrew Arrasmith

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? Quantum Samson Wang, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Lukasz Cincio, Patrick J. Coles
2023	J	`jnl`	Unifying and benchmarking state-of-the-art quantum error mitigation techniques. Quantum Daniel Bultrini, Max Hunter Gordon, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Patrick J. Coles, Lukasz Cincio
2022	J	`jnl`	Non-trivial symmetries in quantum landscapes and their resilience to quantum noise. Quantum Enrico Fontana, Marco Cerezo, Andrew Arrasmith, Ivan Rungger, Patrick J. Coles
2021	J	`jnl`	Adaptive shot allocation for fast convergence in variational quantum algorithms. CoRR Andi Gu, Angus Lowe, Pavel A. Dub, Patrick J. Coles, Andrew Arrasmith
2021	J	`jnl`	Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? CoRR Samson Wang, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Lukasz Cincio, Patrick J. Coles
2021	J	`jnl`	Effect of barren plateaus on gradient-free optimization. Quantum Andrew Arrasmith, Marco Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles
2021	J	`jnl`	Entangled Datasets for Quantum Machine Learning. CoRR Louis Schatzki, Andrew Arrasmith, Patrick J. Coles, Marco Cerezo
2021	J	`jnl`	Equivalence of quantum barren plateaus to cost concentration and narrow gorges. CoRR Andrew Arrasmith, Zoë Holmes, Marco Cerezo, Patrick J. Coles
2021	J	`jnl`	Error mitigation with Clifford quantum-circuit data. Quantum Piotr Czarnik, Andrew Arrasmith, Patrick J. Coles, Lukasz Cincio
2021	J	`jnl`	Long-time simulations with high fidelity on quantum hardware. CoRR Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, Andrew T. Sornborger
2020	J	`jnl`	An Adaptive Optimizer for Measurement-Frugal Variational Algorithms. Quantum Jonas M. Kübler, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles
2020	J	`jnl`	Effect of barren plateaus on gradient-free optimization. CoRR Andrew Arrasmith, Marco Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles
2020	J	`jnl`	Optimizing parametrized quantum circuits via noise-induced breaking of symmetries. CoRR Enrico Fontana, Marco Cerezo, Andrew Arrasmith, Ivan Rungger, Patrick J. Coles
2020	J	`jnl`	Variational Quantum Algorithms. CoRR Marco Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C. Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R. McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, Patrick J. Coles