activity
20182022
most citedTensor network approaches for learning non-linear dynamical laws

11 citations · 15 across the 4 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.IT2018

Performance of Hierarchical Sparse Detectors for Massive MTC

Gerhard Wunder, Ingo Roth, Rick Fritschek +1

Recently, a new class of so-called \emph{hierarchical thresholding algorithms} was introduced to optimally exploit the sparsity structure in joint user activity and channel detecti…

cs.IT2018

Low-Overhead Hierarchically-Sparse Channel Estimation for Multiuser Wideband Massive MIMO

Gerhard Wunder, Stelios Stefanatos, Axel Flinth +2

The problem of excessive pilot overhead required for uplink massive MIMO channel estimation is well known, let alone when it is considered along with wideband (OFDM) transmissions.…

cs.IT2018

Hierarchical Sparse Channel Estimation for Massive MIMO

Gerhard Wunder, Ingo Roth, Axel Flinth +4

The problem of wideband massive MIMO channel estimation is considered. Targeting for low complexity algorithms as well as small training overhead, a compressive sensing (CS) approa…

quant-ph2018

Recovering quantum gates from few average gate fidelities

Ingo Roth, Richard Kueng, Shelby Kimmel +4

Characterising quantum processes is a key task in and constitutes a challenge for the development of quantum technologies, especially at the noisy intermediate scale of today's dev…

quant-ph2018

Entanglement-ergodic quantum systems equilibrate exponentially well

Henrik Wilming, Marcel Goihl, Ingo Roth +1

One of the outstanding problems in non-equilibrium physics is to precisely understand when and how physically relevant observables in many-body systems equilibrate under unitary ti…

cs.IT2018

Hierarchical restricted isometry property for Kronecker product measurements

I. Roth, A. Flinth, R. Kueng +2

Hierarchically sparse signals and Kronecker product structured measurements arise naturally in a variety of applications. The simplest example of a hierarchical sparsity structure…