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researcher

Thomas Merkh

8 papers hereh-index 6244 citations11 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
  • cs.LG3
  • quant-ph2
  • cs.CV1
  • cs.IR1
  • cs.IT1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedExperimental Deep Reinforcement Learning for Error-Robust Gateset Design on a Superconducting Quantum Computer

120 citations · 167 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.LG2021

Geometry of Linear Convolutional Networks

Kathlén Kohn, Thomas Merkh, Guido Montúfar +1

We study the family of functions that are represented by a linear convolutional neural network (LCN). These functions form a semi-algebraic subset of the set of linear maps from in…

quant-ph2021★ 120 cited

Experimental Deep Reinforcement Learning for Error-Robust Gateset Design on a Superconducting Quantum Computer

Yuval Baum, Mirko Amico, Sean Howell +6

Quantum computers promise tremendous impact across applications -- and have shown great strides in hardware engineering -- but remain notoriously error prone. Careful design of low…

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