activity
20182021
most citedProperties of the Tangle for Uniform Random and Random Walk Tip Selection

40 citations · 63 across the 5 of their papers we have counts for

collaborators

7 papers

cs.DC20214 cited

Salt-based autopeering for DLT-networks

Sebastian Müller, Angelo Capossele, Bartosz Kuśmierz +6

The security of any Distributed Ledger Technology (DLT) depends on the safety of the network layer. Much effort has been put into understanding the consensus layer of DLTs. However…

cond-mat.str-el2021

Cluster-cluster correlations beyond the Laughlin state

Bartosz Kusmierz, G J Sreejith

Number of zeros seen by a particle around small clusters of other particles is encoded in the root partition, and partly characterizes the correlations in fractional quantum Hall t…

cs.DC2020

Fast Probabilistic Consensus with Weighted Votes

Sebastian Müller, Andreas Penzkofer, Bartosz Kuśmierz +2

The fast probabilistic consensus (FPC) is a voting consensus protocol that is robust and efficient in Byzantine infrastructure. We propose an adaption of the FPC to a setting where…

cs.DC202017 cited

Parasite Chain Detection in the IOTA Protocol

Andreas Penzkofer, Bartosz Kusmierz, Angelo Capossele +2

In recent years several distributed ledger technologies based on directed acyclic graphs (DAGs) have appeared on the market. Similar to blockchain technologies, DAG-based systems a…

cs.DC202040 cited

Properties of the Tangle for Uniform Random and Random Walk Tip Selection

Bartosz Kusmierz, William Sanders, Andreas Penzkofer +2

The growing number of applications for distributed ledger technologies is driving both industry and academia to solve the limitations of blockchain, particularly its scalability is…

cond-mat.str-el20192 cited

Mean field approximations for short range four body interactions at

Bartosz Kusmierz, Arkadiusz Wojs, Sreejith G J

Trial wavefunctions like the Moore-Read and Read-Rezayi states which minimize short range multibody interactions are candidate states for describing the fractional quantum Hall eff…