Results 111 to 120 of about 65,221 (236)

Covariant formulation of nonlinear Langevin theory with multiplicative Gaussian white noises

Physical Review Research, 2020
The multidimensional nonlinear Langevin equation with multiplicative Gaussian white noises in Ito's sense is made covariant with respect to nonlinear transform of variables. The formalism involves no metric or affine connection, works for systems with or
Mingnan Ding, Zhanchun Tu, Xiangjun Xing
doaj   +1 more source

Simulating Quantum State Transfer Between Distributed Devices Using Noisy Interconnects

Advanced Quantum Technologies, EarlyView.
Noisy connections challenge future networked quantum computers. This work presents a practical method to address this by simulating an ideal state transfer over noisy interconnects. The approach reduces the high sampling cost of previous methods, an advantage that improves as interconnect quality gets better.
Marvin Bechtold, Johanna Barzen, Frank Leymann, Alexander Mandl   +3 more
wiley   +1 more source

Bergman kernels and equilibrium measures for ample line bundles

, 2007
Let L be an ample holomorphic line bundle over a compact complex Hermitian manifold X. Any fixed smooth Hermitian metric on L induces a Hilbert space structure on the space of global holomorphic sections with values in the k:th tensor power of L. In this
Berman, Robert
core  

Digital Twin Simulations Toolbox of the Nitrogen‐Vacancy Center in Diamond

Advanced Quantum Technologies, EarlyView.
The Nitrogen‐vacancy (NV) center in diamond is a key platform within quantum technologies. This work introduces a Python based digital‐twin of the NV, where the spin dynamics of the system is simulated without relying on commonly used approximations, such as the adoption of rotating frame. The digital‐twin is validated through three different examples,
Lucas Tsunaki, Anmol Singh, Sergei Trofimov, Boris Naydenov   +3 more
wiley   +1 more source

Loss Behavior in Supervised Learning With Entangled States

Advanced Quantum Technologies, EarlyView.
Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl, Johanna Barzen, Marvin Bechtold, Frank Leymann, Lavinia Stiliadou   +4 more
wiley   +1 more source

Fubini–Study forms on punctured Riemann surfaces

Comptes Rendus. Mathématique
In this paper we consider a punctured Riemann surface endowed with a Hermitian metric that equals the Poincaré metric near the punctures, and a holomorphic line bundle that polarizes the metric. We show that the quotient of the induced Fubini–Study forms
Apredoaei, Razvan, Ma, Xiaonan, Wang, Lei   +2 more
doaj   +1 more source

Quantum Metric Unveils Defect Freezing in Non-Hermitian Systems

, 2023
Karin Sim, Nicolò Defenu, Paolo Molignini, R. Chitra   +3 more
openalex   +2 more sources

NEW CONCEPT OF SOLVABILITY IN QUANTUM MECHANICS

Acta Polytechnica, 2013
In quite a few recent quantum models one is allowed to make a given Hamiltonian H self-adjoint only after an ad hoc generalization of Hermitian conjugation, H†→H‡:= Θ −1H†Θ wherethe suitable operator Θ is called Hilbert-space metric.
Miloslav Znojil
doaj   +1 more source

Deep learning assisted high‐resolution microscopy image processing for phase segmentation in functional composite materials

Journal of Microscopy, EarlyView.
Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran, Bing Han, Fortune Adekogbe, Shuang Bai, Bingyu Lu, William Wu, Minghao Zhang, Ying Shirley Meng   +7 more
wiley   +1 more source

Read My Leads: Subject‐Specific RF Hazard Assessment and Mitigation for DBS Implants in MRI

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2316-2330, April 2026.
ABSTRACT Purpose To develop and validate a framework for personalized, implant‐specific MRI safety assessments using feedback from commercial deep brain stimulation (DBS) systems. To further use this framework to suppress RF‐induced heating with minimum compromise in imaging performance.
Berk Silemek, Frank Seifert, Mevlüt Yalaz, Michael Höft, Günther Deuschl, Arzu Has Silemek, Rüdiger Brühl, Bernd Ittermann, Lukas Winter   +8 more
wiley   +1 more source