234 citations · 1.6k across the 33 of their papers we have counts for
5 papers · 1 filter
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
Samson Wang, Piotr Czarnik, Andrew Arrasmith +3
Variational Quantum Algorithms (VQAs) are often viewed as the best hope for near-term quantum advantage. However, recent studies have shown that noise can severely limit the traina…
Unifying and benchmarking state-of-the-art quantum error mitigation techniques
Daniel Bultrini, Max Hunter Gordon, Piotr Czarnik +4
Error mitigation is an essential component of achieving a practical quantum advantage in the near term, and a number of different approaches have been proposed. In this work, we re…
Variational Quantum Eigensolver with Reduced Circuit Complexity
Yu Zhang, Lukasz Cincio, Christian F. A. Negre +6
The variational quantum eigensolver (VQE) is one of the most promising algorithms to find eigenvalues and eigenvectors of a given Hamiltonian on noisy intermediate-scale quantum (N…
Diagnosing Barren Plateaus with Tools from Quantum Optimal Control
Martin Larocca, Piotr Czarnik, Kunal Sharma +3
Variational Quantum Algorithms (VQAs) have received considerable attention due to their potential for achieving near-term quantum advantage. However, more work is needed to underst…
Qubit-efficient exponential suppression of errors
Piotr Czarnik, Andrew Arrasmith, Lukasz Cincio +1
Achieving a practical advantage with near-term quantum computers hinges on having effective methods to suppress errors. Recent breakthroughs have introduced methods capable of expo…