78 citations · 294 across the 17 of their papers we have counts for
7 papers · 1 filter
Does provable absence of barren plateaus imply classical simulability?
M. Cerezo, Martin Larocca, Diego García-Martín +9
A large amount of effort has recently been put into understanding the barren plateau phenomenon. In this perspective article, we face the increasingly loud elephant in the room and…
Classical surrogate simulation of quantum systems with LOWESA
Manuel S. Rudolph, Enrico Fontana, Zoë Holmes +1
We introduce LOWESA as a classical algorithm for faithfully simulating quantum systems via a classically constructed surrogate expectation landscape. After an initial overhead to b…
Classical simulations of noisy variational quantum circuits
Enrico Fontana, Manuel S. Rudolph, Ross Duncan +2
Noise detrimentally affects quantum computations so that they not only become less accurate but also easier to simulate classically as systems scale up. We construct a classical si…
Connecting the Hamiltonian structure to the QAOA energy and Fourier landscape structure
Michał Stęchły, Lanruo Gao, Boniface Yogendran +2
In this paper, we aim to expand the understanding of the relationship between the composition of the Hamiltonian in the Quantum Approximate Optimization Algorithm (QAOA) and the co…
Trainability barriers and opportunities in quantum generative modeling
Manuel S. Rudolph, Sacha Lerch, Supanut Thanasilp +5
Quantum generative models provide inherently efficient sampling strategies and thus show promise for achieving an advantage using quantum hardware. In this work, we investigate the…
The power and limitations of learning quantum dynamics incoherently
Sofiene Jerbi, Joe Gibbs, Manuel S. Rudolph +4
Quantum process learning is emerging as an important tool to study quantum systems. While studied extensively in coherent frameworks, where the target and model system can share qu…
Data re-uploading with a single qudit
Noah L. Wach, Manuel S. Rudolph, Fred Jendrzejewski +1
Quantum two-level systems, i.e. qubits, form the basis for most quantum machine learning approaches that have been proposed throughout the years. However, higher dimensional quantu…