activity
20162026
most citedObservation of a many-body-localized discrete time crystal with a programmable spin-based quantum simulator

199 citations · 201 across the 8 of their papers we have counts for

collaborators

23 papers

quant-ph2026

Laser-induced creation of coherent V2 centers in bulk-grown silicon carbide

L. J. Feije, G. M. Timmer, Y. Hu +9

Solid-state spin defects are promising qubits for quantum network nodes. A key challenge towards larger networks is creating defects with high yield into nanophotonic devices, whil…

quant-ph2026

Ten-Second Electron-Spin Coherence in Isotopically Engineered Diamond

Takashi Yamamoto, H. Benjamin van Ommen, Kai-Niklas Schymik +7

Solid-state spin defects are a promising platform for quantum networks. A key requirement is to combine long ground-state spin-coherence times with a coherent optical transition fo…

math.OC2026

Riemannian optimization with finite-difference gradient approximations

Timothé Taminiau, Estelle Massart, Geovani Nunes Grapiglia

Derivative-free Riemannian optimization (DFRO) aims to minimize an objective function using only function evaluations, under the constraint that the decision variables lie on a Rie…

quant-ph2026

Unconditionally teleported quantum gates between remote solid-state qubit registers

Mariagrazia Iuliano, Nicolas Demetriou, H. Benjamin van Ommen +3

Quantum networks connecting quantum processing nodes via photonic links enable distributed and modular quantum computation. In this framework, quantum gates between remote qubits c…

quant-ph2025

A multi-dimensional quantum estimation and model learning framework based on variational Bayesian inference

Federico Belliardo, Erik M. Gauger, Tim H. Taminiau +2

The advancement and scaling of quantum technology has made the learning and identification of quantum systems and devices in highly-multidimensional parameter spaces a pressing tas…

quant-ph2025

Trans-dimensional Hamiltonian model selection and parameter estimation from sparse, noisy data

Abigail N. Poteshman, Jiwon Yun, Tim H. Taminiau +1

High-throughput characterization often requires estimating parameters and model dimension from experimental data of limited quantity and quality. Such data may result in an ill-pos…