From the 1 of 6 linked papers with an AI index.
6 papers
Nonnegative Low-Rank Matrix Correction under an Orthogonality Constraint in Conservative Vlasov Simulations
Yue Wu, Stephen Becker, Jingmei Qiu +1
The paper proposes optimization-based post‑processing methods to enforce nonnegativity on low‑rank approximations in conservative Vlasov simulations while exactly preserving densit…
Singular value soft-thresholding via the polar decomposition
Stephen Becker
Singular value soft-thresholding can be computed via a reduction to the matrix polar decomposition, which allows one to exploit GPU-friendly algorithms for computing the polar deco…
Generating Entangled Steady States in Multistable Open Quantum Systems via Initial State Control
Diego Fallas Padilla, Raphael Kaubruegger, Adrianna Gillman +2
Entanglement underpins the power of quantum technologies, yet it is fragile and typically destroyed by dissipation. Paradoxically, the same dissipation, when carefully engineered,…
WENDy for Nonlinear-in-Parameters ODEs
Nic Rummel, Daniel A. Messenger, Stephen Becker +2
The Weak-form Estimation of Non-linear Dynamics (WENDy) framework is a recently developed approach for parameter estimation and inference of systems of ordinary differential equati…
Rigorous Maximum Likelihood Estimation for Quantum States
Kuchibhotla Aditi, Stephen Becker
Existing quantum state tomography methods are limited in scalability due to their high computation and memory demands, making them impractical for recovery of large quantum states.…
Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation
Bhavana Jonnalagadda, Stephen Becker
Low-rank methods have shown success in accelerating simulations of a collisionless plasma described by the Vlasov equation, but still rely on computationally costly linear algebra…