output
20192025
most citedA compact ion-trap quantum computing demonstrator

382 citations

Showing 2022Show all

7 papers · 1 filter

quant-ph2022★ 25 cited

Reconstructing complex states of a 20-qubit quantum simulator

Murali K. Kurmapu, V. V. Tiunova, E. S. Tiunov +6

A prerequisite to the successful development of quantum computers and simulators is precise understanding of physical processes occurring therein, which can be achieved by measurin…

quant-ph2022★ 116 cited

Native qudit entanglement in a trapped ion quantum processor

Pavel Hrmo, Benjamin Wilhelm, Lukas Gerster +6

Quantum information carriers, just like most physical systems, naturally occupy high-dimensional Hilbert spaces. Instead of restricting them to a two-level subspace, these high-dim…

quant-ph2022★ 82 cited

Experimental single-setting quantum state tomography

Roman Stricker, Michael Meth, Lukas Postler +7

Quantum computers solve ever more complex tasks using steadily growing system sizes. Characterizing these quantum systems is vital, yet becoming increasingly challenging. The gold-…

quant-ph2022★ 5 cited

Theory of phase-adaptive parametric cooling

Alekhya Ghosh, Pardeep Kumar, Fidel Jimenez +2

We propose an adaptive phase technique for the parametric cooling of mechanical resonances. This involves the detection of the mechanical quadratures, followed by a sequence of per…

quant-ph2022★ 73 cited

Approaching optimal entangling collective measurements on quantum computing platforms

Lorcan O. Conlon, Tobias Vogl, Christian D. Marciniak +9

Entanglement is a fundamental feature of quantum mechanics and holds great promise for enhancing metrology and communications. Much of the focus of quantum metrology so far has bee…

quant-ph2022★ 11 cited

Probing phases of quantum matter with an ion-trap tensor-network quantum eigensolver

Michael Meth, Viacheslav Kuzmin, Rick van Bijnen +7

Tensor-Network (TN) states are efficient parametric representations of ground states of local quantum Hamiltonians extensively used in numerical simulations. Here we encode a TN an…