8 citations · 11 across the 6 of their papers we have counts for
7 papers
The ebbs and flows of quantum learning and sensing
Matias Karjula, Teemu Ojanen, Tapio Ala-Nissila +1
What is the relation between subsystem quantum complexity and the emergence of computationally useful structure? We address this by studying a family of minimally tunable postvaria…
Optimal quantum reservoir learning in proximity to universality
Moein N. Ivaki, Matias Karjula, Tapio Ala-Nissila
The study of the boundary between classically simulable and computationally complex quantum dynamics is fundamental to understanding which physical resources may enable enhanced in…
Dynamical learning and quantum memory with non-Hermitian many-body systems
Moein N. Ivaki, Austin J. Szuminsky, Achilleas Lazarides +3
Non-Hermitian (NH) systems provide a fertile platform for quantum technologies, owing in part to their distinct dynamical phases. These systems can be characterized by the preserva…
Noise resilience in adaptive and symmetric monitored quantum circuits
Moein N. Ivaki, Teemu Ojanen, Ali G. Moghaddam
Monitored quantum circuits offer great perspectives for exploring the interplay of quantum information and complex quantum dynamics. These systems could realize the extensively stu…
Quantum reservoir computing on random regular graphs
Moein N. Ivaki, Achilleas Lazarides, Tapio Ala-Nissila
Quantum reservoir computing (QRC) is a low-complexity learning paradigm that combines the inherent dynamics of input-driven many-body quantum systems with classical learning techni…
Postselection-free approach to monitored quantum dynamics and entanglement phase transitions
Kim Pöyhönen, Ali G. Moghaddam, Moein N. Ivaki +1
Measurement-induced entanglement phase transitions in monitored quantum circuits have stimulated activity in a diverse research community. However, the study of measurement-induced…