11 papers
High-fidelity two-qubit gates in a 7-qubit register for quantum networks
Margriet van Riggelen, Jiwon Yun, H. Benjamin van Ommen +1
Quantum networks based on optically active solid-state spins may enable quantum technologies including long-range quantum communication and distributed quantum computing. Network n…
Reducing Sensing Time through Offline Experimental Design for Nuclear Spin Detection
B. Varona-Uriarte, F. Belliardo, M. H. Abobeih +4
The characterization of nuclear spin environments in solid-state devices plays an important role in advancing quantum technologies, yet traditional methods often demand long measur…
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…
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…
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…
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…