Explicit lower bounds on strong quantum simulation
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 …
circuits, and identify a subclass of simulators we call monotone. This subclass encompasses …
Graph pattern polynomials
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 …
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 …
access control, in which the encryption keys of lower classes can be derived by the higher …
A tensor framework for learning in structured domains
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 …
learn representations by aggregating information from the multi-way relationships emerging …
On computational shortcuts for information-theoretic pir
Abstract Information-theoretic private information retrieval (PIR) schemes have attractive
concrete efficiency features. However, in the standard PIR model, the computational …
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 …
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 …
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 …
neural network, as well as a complementary measure of the effective dimension of feature …
Counting connected subgraphs with maximum-degree-aware sieving
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 …
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 …
small separators. It is defined as the minimum width of a tree decomposition of the graph …