Explicit lower bounds on strong quantum simulation

C Huang, M Newman… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We consider the problem of classical strong (amplitude-wise) simulation of n-qubit quantum
circuits, and identify a subclass of simulators we call monotone. This subclass encompasses …

Graph pattern polynomials

M Bläser, B Komarath, K Sreenivasaiah - arxiv preprint arxiv:1809.08858, 2018 - arxiv.org
We study the time complexity of induced subgraph isomorphism problems where the pattern
graph is fixed. The earliest known example of an improvement over trivial algorithms is by …

[Retracted] A Novel Hierarchical Key Assignment Scheme for Data Access Control in IoT

X Li, M Ye, J Chen, J Chen… - Security and …, 2021 - Wiley Online Library
Hierarchical key assignment scheme is an efficient cryptographic method for hierarchical
access control, in which the encryption keys of lower classes can be derived by the higher …

A tensor framework for learning in structured domains

D Castellana, D Bacciu - Neurocomputing, 2022 - Elsevier
Learning machines for structured data (eg, trees) are intrinsically based on their capacity to
learn representations by aggregating information from the multi-way relationships emerging …

On computational shortcuts for information-theoretic pir

MM Hong, Y Ishai, VI Kolobov, RWF Lai - … 16–19, 2020, Proceedings, Part I …, 2020 - Springer
Abstract Information-theoretic private information retrieval (PIR) schemes have attractive
concrete efficiency features. However, in the standard PIR model, the computational …

Lower bounds on dynamic programming for maximum weight independent set

T Korhonen - arxiv preprint arxiv:2102.06901, 2021 - arxiv.org
We prove lower bounds on pure dynamic programming algorithms for maximum weight
independent set (MWIS). We model such algorithms as tropical circuits, ie, circuits that …

[BOOK][B] Structured tensors and the geometry of data

AL Seigal - 2019 - search.proquest.com
We analyze data to build a quantitative understanding of the world. Linear algebra is the
foundation to algorithms, dating back one hundred years, for extracting structure from data …

Complexity for deep neural networks and other characteristics of deep feature representations

RA Janik, P Witaszczyk - arxiv preprint arxiv:2006.04791, 2020 - arxiv.org
We define a notion of complexity, which quantifies the nonlinearity of the computation of a
neural network, as well as a complementary measure of the effective dimension of feature …

Counting connected subgraphs with maximum-degree-aware sieving

A Björklund, T Husfeldt, P Kaski… - … on Algorithms and …, 2018 - drops.dagstuhl.de
We study the problem of counting the isomorphic occurrences of a k-vertex pattern graph P
as a subgraph in an n-vertex host graph G. Our specific interest is on algorithms for …

Computing Width Parameters of Graphs

T Korhonen - 2024 - bora.uib.no
The treewidth of a graph describes its tree-likeness by how well it can be decomposed by
small separators. It is defined as the minimum width of a tree decomposition of the graph …