Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Roy J. Garcia"'
Publikováno v:
npj Quantum Information, Vol 10, Iss 1, Pp 1-7 (2024)
Abstract Classical shadows provide a noise-resilient and sample-efficient method for learning quantum system properties, relying on a user-specified unitary ensemble. What is the weakest assumption on this ensemble that can still yield meaningful res
Externí odkaz:
https://doaj.org/article/5036a8f5f0944fbeaccf6a32493945b7
Publikováno v:
Journal of High Energy Physics, Vol 2023, Iss 1, Pp 1-79 (2023)
Abstract The existence of barren plateaus has recently revealed new training challenges in quantum machine learning (QML). Uncovering the mechanisms behind barren plateaus is essential in understanding the scope of problems that QML can efficiently t
Externí odkaz:
https://doaj.org/article/7e36d0915e624e3b9ae8b0d101519a2e
Publikováno v:
Journal of High Energy Physics, Vol 2022, Iss 3, Pp 1-40 (2022)
Abstract We quantify the role of scrambling in quantum machine learning. We characterize a quantum neural network’s (QNNs) error in terms of the network’s scrambling properties via the out-of-time-ordered correlator (OTOC). A network can be train
Externí odkaz:
https://doaj.org/article/38f064d70e914b49948f4a660d7d69b3
Publikováno v:
Physical Review Research, Vol 3, Iss 3, p 033155 (2021)
Quantum dynamics is of fundamental interest and has implications in quantum information processing. The four-point out-of-time-ordered correlator (OTOC) is traditionally used to quantify quantum information scrambling under many-body dynamics. Due to
Externí odkaz:
https://doaj.org/article/802ba5bb817c4c738efe0888f43d4da1