#gradient optimization
8 papers · 1 filter
Inter-Area Oscillation Damping in Data-Center-Integrated Power Systems
Ahmed Alfatlawi, Masoud H. Nazari
The paper models hyperscale data‑center HVAC and UPS subsystems and incorporates them into a small‑signal stability analysis to show that UPS‑based demand response can improve inte…
Implicit differentiation of tensor network algorithms
Lander Burgelman, Anna Francuz, Paul Brehmer +4
The paper applies implicit differentiation to the gradient computation in projected entangled-pair state (PEPS) optimization, reducing computational cost and eliminating numerical…
A Compass on the Quantum State Sphere: The Hopf Ansatz for Arbitrary Pure-State Optimization
Ruge Lin, Guangxi Li
The paper presents the Hopf ansatz, a binary‑tree quantum circuit that both prepares arbitrary pure states and provides an inverse mapping to coordinates, enabling efficient gradie…
Analytic gradients for low-rank quantum optimal control
Leo Goutte, Vincenzo Savona
The paper presents low-rank optimal control (LROC), a technique that exploits the dominance of a few pure states in open quantum systems to compute gradients for pulse optimization…
Linear Independent Component Analysis via Optimal Transport
Ashutosh Jha, Michel Besserve, Simon Buchholz
The paper introduces OT-ICA, an algorithm that uses the squared Wasserstein distance to a Gaussian as a measure of non‑Gaussianity for linear independent component analysis, and sh…
Privacy-Preserving Logistic Regression Training with A Faster Gradient Variant
John Chiang
The paper proposes a quadratic gradient method to improve privacy-preserving logistic regression training, enhancing NAG, AdaGrad, and Adam and achieving fast convergence even unde…