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Quantum hypothesis testing via robust quantum control
New Journal of Physics, 2023 Quantum hypothesis testing plays a pivotal role in quantum technologies, making decisions or drawing conclusions about quantum systems based on observed data.
Han Xu +3 more
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On Composite Quantum Hypothesis Testing [PDF]
Communications in Mathematical Physics, 2017 We extend quantum Stein’s lemma in asymmetric quantum hypothesis testing to composite null and alternative hypotheses. As our main result, we show that the asymptotic error exponent for testing convex combinations of quantum states ρ⊗n\documentclass[12pt]
M. Berta, F. Brandão, Christoph Hirche
semanticscholar +1 more source
Worst-case Quantum Hypothesis Testing with Separable Measurements [PDF]
Quantum, 2020 For any pair of quantum states (the hypotheses), the task of binary quantum hypotheses testing is to derive the tradeoff relation between the probability $p_{01}$ of rejecting the null hypothesis and $p_{10}$ of accepting the alternative hypothesis.
Le Phuc Thinh +2 more
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Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference
Machine Learning and Knowledge Extraction, 2019 Statistical hypothesis testing is among the most misunderstood quantitative analysis methods from data science. Despite its seeming simplicity, it has complex interdependencies between its procedural components.
F. Emmert-Streib, M. Dehmer
semanticscholar +1 more source
Hypothesis Testing Under Mutual Information Privacy Constraints in the High Privacy Regime [PDF]
IEEE Transactions on Information Forensics and Security, 2017 Hypothesis testing is a statistical inference framework for determining the true distribution among a set of possible distributions for a given data set. Privacy restrictions may require the curator of the data or the respondents themselves to share data
Jiachun Liao +3 more
semanticscholar +1 more source
Hypothesis Testing Based Side-Channel Collision Analysis
IEEE Access, 2019 Side-channel collision analysis has become a research hotspot since its first publication in 2003. Compared with differential power analysis (DPA) and correlation power analysis (CPA), collision analysis does not need to know the intermediate value and ...
Dong Zheng, Xiang Jia, Meiling Zhang
doaj +1 more source
On Consistent Hypothesis Testing [PDF]
Journal of Mathematical Sciences, 2017 This paper explores conditions of existence of different types of consistent tests. New links of these types of consistency are also established. The existence of discernible (strong consistent) tests follows from the existence of pointwise consistent tests.
openaire +3 more sources
Testing the Isotropic Cauchy Hypothesis
EntropyThe isotropic Cauchy distribution is a member of the central α-stable family that plays a role in the set of heavy-tailed distributions similar to that of the Gaussian density among finite second-moment laws.
Jihad Fahs +2 more
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Hypothesis testing in Bayesian network meta-analysis
BMC Medical Research Methodology, 2018 Background Network meta-analysis is an extension of the classical pairwise meta-analysis and allows to compare multiple interventions based on both head-to-head comparisons within trials and indirect comparisons across trials.
Lorenz Uhlmann +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Cup‐like nuclei are a distinctive morphological feature observed in certain cases of acute lymphoblastic leukemia (ALL). We provide evidence that they characterize DUX4/ERG ALL independently of IKZF1 deletion and reveal marked mitochondrial accumulation in this ALL subset.
Chloé Arfeuille +9 more
wiley +1 more source