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Simple Classes of Automatic Structures
Achim Blumensath
https://arxiv.org/abs/2505.22821 https://arxiv.org/pdf/2505.22821

Simple Classes of Automatic Structures
We study two subclasses of the class of automatic structures: automatic structures of polynomial growth and Presburger structures. We present algebraic characterisations of the groups and the equivalence structures in these two classes.

This is the main square in Piran, Slovenia, early morning today. Only 10 minutes away, the 22nd Extended Semantic Web Conference ESWC 2025 will take place, starting on Sunday, June 1st, 2025. I'm looking forward to meeting dear colleagues as well as old and new friends, listening to exciting keynotes, great presentations, and many more activities.

This https://arxiv.org/abs/2408.17317 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Diagnosing crosstalk in large-scale QPUs using zero-entropy classical shadows
As quantum processing units (QPUs) scale toward hundreds of qubits, diagnosing crosstalk and noise-induced correlations becomes critical for reliable quantum computation. In this work, we introduce Zero-Entropy Classical Shadows (ZECS), a diagnostic tool that reconstructs positive semidefinite, unit-trace density operators from classical shadow (CS) information. ZECS enables proper subregion tomography and reduces the effect of sampling and time-dependent errors. We apply ZECS to large supercon…

What's really warming the world?
A classic, by @bloomberg. Do click on the link to see the whole thing.
https://www.bloomberg.com/graphics/2015-whats-warming-the-world/

jung: JUNG and javax class dependencies (2012)
A network of software class dependency within the JUNG 2.0.1 and javax 1.6.0.7 library namespaces edu.uci.ics.jung and java/javax. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6120 nodes and 138706 edges.
Tags: Technological, Software, Unweighted

As Elon Musk became one of Donald J. Trump’s closest allies last year, leading raucous rallies and donating about $275 million to help him win the presidency,
he was also using drugs far more intensely than previously known, according topeople familiar with his activities.
Musk’s drug consumption went well beyond occasional use.
He told people he was taking so much ketamine, a powerful anesthetic, that it was affecting his bladder, a known effect of chronic use.
He to…

Elon Musk Juggled Drugs and Family Drama on Trump’s Campaign Trail
As Mr. Musk entered President Trump’s orbit, his private life grew increasingly tumultuous and his drug use was more intense than previously known.

50 years ago today, mickey hart & zakir hussain & the diga rhythm band with #JerryGarcia in golden gate park, playing an early version of a dead classic while opening for the jefferson starship. 3rd of 3 diga shows, following 2 at winterland, hart’s 2nd ever extra-dead gigs, after 1973’s experiment in quad sound, last until ’81. from stage mikes, i think:

The closest I've come to the death row is waking up before the alarm clock.

This https://arxiv.org/abs/2404.11389 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Finding $d$-Cuts in Graphs of Bounded Diameter, Graphs of Bounded Radius and $H$-Free Graphs
The $d$-Cut problem is to decide if a graph has an edge cut such that each vertex has at most $d$ neighbours at the opposite side of the cut. If $d=1$, we obtain the intensively studied Matching Cut problem. The $d$-Cut problem has been studied as well, but a systematic study for special graph classes was lacking. We initiate such a study and consider classes of bounded diameter, bounded radius and $H$-free graphs. We prove that for all $d\geq 2$, $d$-Cut is polynomial-time solvable for graphs …

jung: JUNG and javax class dependencies (2012)
A network of software class dependency within the JUNG 2.0.1 and javax 1.6.0.7 library namespaces edu.uci.ics.jung and java/javax. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6120 nodes and 138706 edges.
Tags: Technological, Software, Unweighted