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researcher

M. Eriksson

80 papers hereh-index 417.9k citations162 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author31
  • last author40

Across the 72 of 80 papers where every author was matched, so the position is known.

fields
  • cond-mat.mes-hall58
  • quant-ph11
  • cond-mat.mtrl-sci8
  • physics.app-ph2
  • physics.optics1
same name
  • M. Eriksson — 18 papers, h 11
  • M. Eriksson — 11 papers, h 20
  • M. Eriksson — 8 papers, h 9
  • M. Eriksson — 8 papers, h 4
  • M. Eriksson — 4 papers, h 2
  • M. Eriksson — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19982026
most citedSilicon Quantum Electronics

1.2k citations · 7.5k across the 80 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

quant-ph2018★ 133 cited

Benchmarking Gate Fidelities in a Si/SiGe Two-Qubit Device

X. Xue, T. F. Watson, J. Helsen +7

We report the first complete characterization of single-qubit and two-qubit gate fidelities in silicon-based spin qubits, including cross-talk and error correlations between the tw…

cond-mat.mes-hall2018★ 6 cited

Compressed Optimization of Device Architectures (CODA) for semiconductor quantum devices

Adam Frees, John King Gamble, Daniel R. Ward +4

Recent advances in nanotechnology have enabled researchers to manipulate small collections of quantum mechanical objects with unprecedented accuracy. In semiconductor quantum dot q…

cond-mat.mes-hall2018★ 38 cited

The critical role of substrate disorder in valley splitting in Si quantum wells

Samuel F. Neyens, Ryan H. Foote, Brandur Thorgrimsson +11

Motivated by theoretical predictions that spatially complex concentration modulations of Si and Ge can increase the valley splitting in quantum wells, we grow and characterize Si/S…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.