Results 51 to 60 of about 3,485,455 (148)

Probability as a Measure of Information Added

, 2011
Some propositions add more information to bodies of propositions than do others. We start with intuitive considerations on qualitative comparisons of information added. Central to these are considerations bearing on conjunctions and on negations. We find
Peter Milne, Milne, Peter
core   +1 more source

Extremal jumps of circuit complexity of unitary evolutions generated by random Hamiltonians

Journal of High Energy Physics
We investigate circuit complexity of unitaries generated by time evolution of randomly chosen strongly interacting Hamiltonians in finite dimensional Hilbert spaces.
Marcin Kotowski, Michał Oszmaniec, Michał Horodecki   +2 more
doaj   +1 more source

Hardware‐Efficient Hamiltonian Simulation via Trotter‐Initialized Variational Optimization With Native Placement

Advanced Quantum Technologies, Volume 9, Issue 9, September 2026.
A new physics‐informed compilation framework bridges the gap between theoretical quantum simulations and noisy NISQ hardware. By combining native qubit placement with adaptive, variational circuit synthesis, this approach drastically reduces circuit depth and circumvents device noise, unlocking high‐fidelity quantum simulations on current processors ...
F. S. Luiz, P. N. Ferreira, M. C. de Oliveira   +2 more
wiley   +1 more source

Measure-theoretic quantifiers and Haar measure

, 1982
Measure-theoretic quantifiers are introduced as convenient notation and to facilitate certain applications of Fubini’s theorem. They are used to prove the uniqueness of Haar measure and to give some conditions involving translation which imply absolute ...
Russell Lyons
core   +1 more source

The Haar measure and the generation of random unitary matrices

, 2004
This paper derives thc Haar measure over the set of unitarymatrices. The Haar measure is essential when studyingthe statistical bchavior of complex sample covariance matricesin terms of their cigenvalucs and eigenvectors. The_.
Svensson, Lennart,, Lundberg, Magnus,
core   +3 more sources

Denoise Stepwise Signals by Diffusion Model‐Based Approach

Small Methods, Volume 10, Issue 18, 23 September 2026.
This work presents SSDM, a diffusion‐model‐based framework for denoising stepwise signals in single‐molecule measurements. By learning the statistical structure of state transitions and noise, SSDM reconstructs signal levels and identifies transition time points more accurately than conventional approaches, enabling robust analysis of signals across ...
Xingdi Tong, Chenyu Wen
wiley   +1 more source

Motivic Haar Measure on Reductive Groups

, 2006
We define a motivic analogue of the Haar measure for groups of the form G(k((t))), where k is an algebraically closed field of characteristic zero, and G is a reductive algebraic group defined over k.
Julia Gordon
core   +1 more source

Wavelet‐Based Hurst Exponent Estimation

WIREs Computational Statistics, Volume 18, Issue 3, September 2026.
The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa, Fabrizio Ruggeri, Brani Vidakovic   +2 more
wiley   +1 more source

Research Priorities for Robust Climate Assessments in the United States

Earth's Future, Volume 14, Issue 9, September 2026.
Abstract Scientific assessments play a critical role in synthesizing evidence to support evidence‐based decision‐making in many sectors and topics. For climate change, large‐scale assessments like the Intergovernmental Panel on Climate Change (IPCC) and the United States (U.S.) National Climate Assessment (NCA) reports help many different users—from ...
Melissa A. Kenney, Robert E. Kopp, Constantine Samaras, Marina Alberti, Sonia Y. Angell, Jennifer Burney, Colin Cunliff, J. T. Duffy‐Anderson, Laura West Fischer, Serita D. Frey, Jeffrey A. Hicke, Peter H. Howard, Alessandra Jerolleman, Christine J. Kirchhoff, Elizabeth A. Koebele, Natalie M. Mahowald, Nicole Misarti, Dharshani L. Pearson, Alexandra A. Phillips, A. R. Siders, Prabhjot K. Singh, Nicholas G. Smith, Lida T. Teneva, Jessica D. Ulrich‐Schad, Jeffrey J. Volenec, Kofi Akamani, Alisa J. Alexander, Claire E. Anderson, J. G. Arbuckle, Maximilian Auffhammer, Christopher W. Avery, Shalanda H. Baker, Deborah Balk, Michele Barbato, Patrick L. Barnard, Alexander B. Basaraba, Dominic J. Bednar, Jesse E. Bell, D. Bennett Gayle, Laprisha Berry Daniels, Darrian Bertrand, John E. T. Bistline, Corey L. Brelsfoard, Tania Briceno, Maxine Burkett, Michael Burnham, John A. Callahan, Clare E. B. Cannon, Courtney Carothers, Rebecca H. Carter, Max Cawley, J. Mijin Cha, Howard H. Chang, Michael H. Chang, Oriana S. Chegwidden, Kai Chen, Brian S. Cheng, Guangqing Chi, Eric K. Chu, Rachel Cleetus, Anna Connor, Amelia A. Cook, Dontá Council, Kevin R. Cromar, Katherine J. Curtis, John J. Daigle, Christopher DeLyser Roney, Simone J. Domingue, John E. Drake, Kristie L. Ebi, Emile H. Elias, Neal L. Fann, Erica Fleishman, Elliott T. Gall, Eliza Ghitis, Elisabeth A. Gilmore, Sathya Gopalakrishnan, Daniel Grafton, S. A. Gray, Roger B. Griffis, Nancy B. Grimm, Antonia Hadjimichael, Xueying Han, Jamie A. Haverkamp, Jeremy J. Hess, Paul F. Hessburg, Kristen Averyt Hinton, David M. Hondula, Bryan Hubbell, Nathan Hultman, Cassandra Jean, Sikina Jinnah, Jeremiah X. Johnson, Steven Mana'oakamai Johnson, Victoria A. Johnson, Kristal Jones, P. Ozge Kaplan, Samuel Kay, Jesse M. Keenan, Ladd Keith, Heather H. Kim, Patrick L. Kinney, Steven F. Koller, Matthew A. Konfirst, Ann Kosmal, Meade B. Krosby, W. O. Lamp, Kevin Lanza, Joshua Lappen, Jan E. Leach, Chia‐Ying Lee, Flavio Lehner, Yishen Li, Lindsay A. Luchinsky, Katharine J. Mach, Julie Maldonado, Sparkle L. Malone, Amelia A. M. Marchand, Elizabeth Marino, Ezra M. Markowitz, Eric R. Masanet, Guillaume S. Mauger, Christine L. May, Kathryn McConnell, Pamela McElwee, Michael Mendez, Ariane Middel, Stephanie K. Mladinich, Renato Molina, Nicholas Nassikas, Roshanak Nateghi, Robert Newman, Megan E. O’Rourke, Renee Obringer, Ariel Ortiz‐Bobea, Emily B. Osborne, Alexander (Sascha) Petersen, Benjamin L. Preston, Jagadeesh Puvvula, Marilyn N. Raphael, Crystal L. Raymond, Kevin A. Reed, Katharine L. Ricke, James Rising, Katherine S. Rocci, Bernice R. Rosenzweig, Stacia Ryder, Brett F. Sanders, Matthew R. Sanderson, Rachel E. Schattman, N. A. Seeteram, Linda Shi, Lauren Sidner, Samantha A. Siedlecki, Deepti Singh, Rolf E. Sonnerup, Caiti Steele, Eric Tate, Jonathan R. Thompson, Philip R. Thompson, Lynée L. Turek‐Hankins, Nicola Ulibarri, Paul A. Ullrich, Chenghao Wang, Melissa Ward, Melissa Ward Jones, Cavin Ward‐Caviness, Jessica C. Whitehead, Michael T. Wilson, Richelle L. Winkler, Adrienne M. Wootten, George Xian, Georgine G. Yorgey, Abigail M. York, Emily J. Zuetell   +174 more
wiley   +1 more source

Edge Density Expansions for the Classical Gaussian and Laguerre Ensembles

Studies in Applied Mathematics, Volume 157, Issue 3, September 2026.
ABSTRACT Recent work of Bornemann has uncovered hitherto hidden integrable structures relating to the asymptotic expansion of quantities at the soft edge of the Gaussian and Laguerre random matrix ensembles. These quantities are spacing distributions and the eigenvalue density, and the findings cover the cases of the three symmetry classes: orthogonal,
Peter J. Forrester, Anas A. Rahman, Bo‐Jian Shen   +2 more
wiley   +1 more source