Tootfinder

$190K off-street parking spot (plus $2k per year taxes & HOA) just dropped in Harvard Square, Cambridge https://redf.in/gdJDOO

HOA dude „Dexter“ style
🤣😂uh…uhh… the texture 🤣
https://x.com/llandoniffirg/status/1787252796737118539?s=61

LAnDo NIFFIRG™️🇨🇦 (@llandoniffirg) on X
Hey bro! Why do you have a tarp here??🤣🤣🤣🤣🤣🤣🤣

$190K off-street parking spot (plus $2k per year taxes & HOA) just dropped in Harvard Square, Cambridge https://redf.in/gdJDOO

The daily dose of the red shnauzer from the HOA.
Must be really fun to have this asshole as a neighbor ….. shiiiiish
https://x.com/llandoniffirg/status/1784345180893487182?s=61

LAnDo NIFFIRG™️🇨🇦 (@llandoniffirg) on X
Hey Bro!! I was told to invite you to the HOA meeting!🤣🤣🤣🤣🤣🤣

Probabilistic positioning via ray tracing with noisy angle of arrival measurements
Vincent Corlay, Viet-Hoa Nguyen, Nicolas Gresset
https://arxiv.org/abs/2403.00611

Probabilistic positioning via ray tracing with noisy angle of arrival measurements
This paper investigates the problems of interference prediction and sensing for efficient spectrum access and link adaptation. The considered approach for interference prediction relies on a parametric model. However, we assume that the number of observations available to learn theses parameters is limited. This implies that they should be treated as random variables rather than fixed values. We show how this can impact the spectrum access and link adaptation strategies. We also introduce the n…

Finding Decision Tree Splits in Streaming and Massively Parallel Models
Huy Pham, Hoang Ta, Hoa T. Vu
https://arxiv.org/abs/2403.19867 https://

Finding Decision Tree Splits in Streaming and Massively Parallel Models
In this work, we provide data stream algorithms that compute optimal splits in decision tree learning. In particular, given a data stream of observations $x_i$ and their labels $y_i$, the goal is to find the optimal split point $j$ that divides the data into two sets such that the mean squared error (for regression) or misclassification rate (for classification) is minimized. We provide various fast streaming algorithms that use sublinear space and a small number of passes for these problems. T…

QSimPy: A Learning-centric Simulation Framework for Quantum Cloud Resource Management
Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya
https://arxiv.org/abs/2405.01021

QSimPy: A Learning-centric Simulation Framework for Quantum Cloud Resource Management
Quantum cloud computing is an emerging computing paradigm that allows seamless access to quantum hardware as cloud-based services. However, effective use of quantum resources is challenging and necessitates robust simulation frameworks for effective resource management design and evaluation. To address this need, we proposed QSimPy, a novel discrete-event simulation framework designed with the main focus of facilitating learning-centric approaches for quantum resource management problems in clo…

Story in 2 parts.
If you are Home owner and part of a HOA neighborhood, be warned. They don’t like parcel on the front porch and this dude is their „sheriff“
Part 1
https://x.com/llandoniffirg/status/1781447065467285811?s=61

LAnDo NIFFIRG™️🇨🇦 (@llandoniffirg) on X
@FormerFetusYup https://t.co/IMVnRE2oZi

Small instanton-induced flavor invariants and the axion potential
Ravneet Bedi, Tony Gherghetta, Christophe Grojean, Guilherme Guedes, Jonathan Kley, Pham Ngoc Hoa Vuong
https://arxiv.org/abs/2402.09361

Small instanton-induced flavor invariants and the axion potential
Small instantons which increase the axion mass due to an appropriate modification of QCD at a UV scale $Λ_{\rm SI}$, can also enhance the effect of CP-violating operators to shift the axion potential minimum by an amount, $θ_{\rm ind}$, proportional to the flavorful couplings in the SMEFT. Since physical observables must be flavor basis independent, we construct a basis of determinant-like flavor invariants that arise from instanton calculations containing the effects of dimension-six CP-odd …

Computationally Predicted Electronic Properties and Energetics of Native Defects in Cubic Boron Nitride
Ngoc Linh Nguyen, Hung The Dang, Tien Lam Pham, Thi Minh Hoa Nghiem
https://arxiv.org/abs/2402.08464

Computationally Predicted Electronic Properties and Energetics of Native Defects in Cubic Boron Nitride
In this study, we employ a first-principles approach to conduct a comprehensive investigation of the properties of nine common native point defects in cubic boron nitride. This analysis combines standard semi-local and dielectric hybrid density-exchange-correlation functional calculations, encompassing vacancies, interstitials, antisites, and their complexes. Our findings elucidate the influence of these defects on the structural and electronic characteristics of cubic boron nitride, such as lo…

Quantum Cloud Computing: A Review, Open Problems, and Future Directions
Hoa T. Nguyen, Prabhakar Krishnan, Dilip Krishnaswamy, Muhammad Usman, Rajkumar Buyya
https://arxiv.org/abs/2404.11420

Quantum Cloud Computing: A Review, Open Problems, and Future Directions
Quantum cloud computing is an emerging paradigm of computing that empowers quantum applications and their deployment on quantum computing resources without the need for a specialized environment to host and operate physical quantum computers. This paper reviews recent advances, identifies open problems, and proposes future directions in quantum cloud computing. It discusses the state-of-the-art quantum cloud advances, including the various cloud-based models, platforms, and recently developed t…