11 citations · 15 across the 4 of their papers we have counts for
5 papers · 1 filter
Quantum certification and benchmarking
J. Eisert, D. Hangleiter, N. Walk +5
Concomitant with the rapid development of quantum technologies, challenging demands arise concerning the certification and characterization of devices. The promises of the field ca…
Stochastic gradient descent for hybrid quantum-classical optimization
Ryan Sweke, Frederik Wilde, Johannes Meyer +4
Within the context of hybrid quantum-classical optimization, gradient descent based optimizers typically require the evaluation of expectation values with respect to the outcome of…
Closing gaps of a quantum advantage with short-time Hamiltonian dynamics
Jonas Haferkamp, Dominik Hangleiter, Adam Bouland +3
Demonstrating a quantum computational speedup is a crucial milestone for near-term quantum technology. Recently, quantum simulation architectures have been proposed that have the p…
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning
Ivan Glasser, Ryan Sweke, Nicola Pancotti +2
Tensor-network techniques have enjoyed outstanding success in physics, and have recently attracted attention in machine learning, both as a tool for the formulation of new learning…
Lieb-Robinson bounds for open quantum systems with long-ranged interactions
Ryan Sweke, Jens Eisert, Michael Kastner
We state and prove four types of Lieb-Robinson bounds valid for many-body open quantum systems with power law decaying interactions undergoing out of equilibrium dynamics. We also…