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Lea M. Trenkwalder

8 papers hereh-index 6387 citations10 works total

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

author position
  • first author2
  • middle author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • quant-ph7
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedReinforcement learning for optimization of variational quantum circuit architectures

54 citations · 190 across the 8 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

quant-ph2019★ 53 cited

Quantum enhancements for deep reinforcement learning in large spaces

Sofiene Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup +2

In the past decade, the field of quantum machine learning has drawn significant attention due to the prospect of bringing genuine computational advantages to now widespread algorit…

cs.LG2019★ 16 cited

On the convergence of projective-simulation-based reinforcement learning in Markov decision processes

Walter L. Boyajian, Jens Clausen, Lea M. Trenkwalder +2

In recent years, the interest in leveraging quantum effects for enhancing machine learning tasks has significantly increased. Many algorithms speeding up supervised and unsupervise…

quant-ph2019★ 29 cited

Photonic architecture for reinforcement learning

Fulvio Flamini, Arne Hamann, Sofiène Jerbi +3

The last decade has seen an unprecedented growth in artificial intelligence and photonic technologies, both of which drive the limits of modern-day computing devices. In line with…

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