2 citations · 4 across the 6 of their papers we have counts for
6 papers · 1 filter
Large-scale Lindblad learning from time-series data
Ewout van den Berg, Brad Mitchell, Ken Xuan Wei +1
Learned open-quantum-system models have broad applications in device characterization, device calibration, realistic noise model construction, and bounding observable estimates in…
Disambiguating Pauli noise in quantum computers
Edward H. Chen, Senrui Chen, Laurin E. Fischer +7
To successfully perform quantum computations, it is often necessary to first accurately characterize the noise in the underlying hardware. However, it is well known that fundamenta…
A Universal Protocol for Quantum-Enhanced Sensing via Information Scrambling
Bryce Kobrin, Thomas Schuster, Maxwell Block +4
We introduce a novel protocol, which enables Heisenberg-limited quantum-enhanced sensing using the dynamics of any interacting many-body Hamiltonian. Our approach - dubbed butterfl…
Bounding the systematic error in quantum error mitigation due to model violation
L. C. G. Govia, S. Majumder, S. V. Barron +7
Quantum error mitigation is a promising route to achieving quantum utility, and potentially quantum advantage in the near-term. Many state-of-the-art error mitigation schemes use k…
Error mitigation with stabilized noise in superconducting quantum processors
Youngseok Kim, Luke C. G. Govia, Andrew Dane +10
Pre-fault tolerant quantum computers have already demonstrated the ability to estimate observable values accurately, at a scale beyond brute-force classical computation. This has b…
Theory of quantum error mitigation for non-Clifford gates
David Layden, Bradley Mitchell, Karthik Siva
Quantum error mitigation techniques mimic noiseless quantum circuits by running several related noisy circuits and combining their outputs in particular ways. How well such techniq…