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Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
v1v2 (latest)

Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more

8 October 2025
J. Allcock
Joao F. Doriguello
Gábor Ivanyos
M. Santha
ArXiv (abs)PDFHTML

Papers citing "Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more"

3 / 3 papers shown
Title
Feature Selection and Regularization in Multi-Class Classification: An Empirical Study of One-vs-Rest Logistic Regression with Gradient Descent Optimization and L1 Sparsity Constraints
Feature Selection and Regularization in Multi-Class Classification: An Empirical Study of One-vs-Rest Logistic Regression with Gradient Descent Optimization and L1 Sparsity Constraints
Jahidul Arafat
Fariha Tasmin
Md Kaosar Uddin
83
1
0
16 Oct 2025
AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining
AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining
Jahidul Arafat
Sanjaya Poudel
79
1
0
15 Oct 2025
Constraint Satisfaction Approaches to Wordle: Novel Heuristics and Cross-Lexicon Validation
Constraint Satisfaction Approaches to Wordle: Novel Heuristics and Cross-Lexicon Validation
Jahidul Arafat
Fariha Tasmin
Sanjaya Poudel
AAML
47
2
0
03 Oct 2025
1