output
20162026
most citedQuantum machine learning in feature Hilbert spaces

1.8k citations

Showing 2018 · quant-phShow all

30 papers · 2 filters

quant-ph2018★ 43 cited

Nonlinear Coupling of Linearly Uncoupled Resonators

M. Menotti, B. Morrison, K. Tan +3

We demonstrate a system composed of two resonators that are coupled solely through a nonlinear interaction, and where the linear properties of each resonator can be controlled loca…

quant-ph2018★ 47 cited

Franck-Condon factors by counting perfect matchings of graphs with loops

Nicolás Quesada

We show that the Franck-Condon Factor (FCF) associated to a transition between initial and final vibrational states in two different potential energy surfaces, having and v…

quant-ph2018★ 46 cited

Sample complexity of device-independently certified "quantum supremacy"

Dominik Hangleiter, Martin Kliesch, Jens Eisert +1

Results on the hardness of approximate sampling are seen as important stepping stones towards a convincing demonstration of the superior computational power of quantum devices. The…

quant-ph2018★ 1.1k cited

Evaluating analytic gradients on quantum hardware

Maria Schuld, Ville Bergholm, Christian Gogolin +2

An important application for near-term quantum computing lies in optimization tasks, with applications ranging from quantum chemistry and drug discovery to machine learning. In man…

quant-ph2018★ 29 cited

Exact gate decompositions for photonic quantum computing

Timjan Kalajdzievski, Juan Miguel Arrazola

We propose a method for decomposing continuous-variable operations into a universal gate set, without the use of any approximations. We fully characterize a set of transformations…

quant-ph2018★ 811 cited

Advances in Photonic Quantum Sensing

Stefano Pirandola, Bhaskar Roy Bardhan, Tobias Gehring +2

Quantum sensing has become a mature and broad field. It is generally related with the idea of using quantum resources to boost the performance of a number of practical tasks, inclu…