Results 131 to 140 of about 16,495,539 (312)

Reinforcement Learning in Different Phases of Quantum Control

Physical Review X, 2018
The ability to prepare a physical system in a desired quantum state is central to many areas of physics such as nuclear magnetic resonance, cold atoms, and quantum computing.
Marin Bukov, Alexandre G. R. Day, Dries Sels, Phillip Weinberg, Anatoli Polkovnikov, Pankaj Mehta   +5 more
doaj   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Multi‐Level Saturation Current Encoding in Two‐Dimensional Ferroelectric Source‐Gated Transistors

Advanced Functional Materials, EarlyView.
A 2D ferroelectric source‐gated transistor (SGT) operates with a non‐volatile, multi‐level saturation current controlled by ferroelectric polarization. Operando electrostatic and photocurrent imaging link the current limitation to source‐side depletion, identifying saturation current as a programmable, read‐bias‐tolerant device parameter toward low ...
Joon‐Seok Kim, Ting‐Ching Chu, Zhehao Zhu, Lincoln J. Lauhon   +3 more
wiley   +1 more source

Mathematical Formalism and Physical Models for Generative Artificial Intelligence

Foundations
This paper presents a mathematical formalism for generative artificial intelligence (GAI). Our starting point is an observation that a “histories” approach to physical systems agrees with the compositional nature of deep neural networks.
Zeqian Chen
doaj   +1 more source

Engineered Nanotopography to Modulate Growth and Signaling of Neuronal Networks

Advanced Functional Materials, EarlyView.
This study examines the interaction between neurons and nanoscale topographies on engineered substrates. Neurons cultured on nanowires, nanopillars and nanoneedles exhibit enhanced neurite outgrowth, form more organized neuronal circuits, and display improved synaptic connectivity, compared to flat substrates.
Hao Nguyen Tran, Kalyan Shobhana, Zlatan Trifunovic, Dan Smith, Michael Stuiber, Chennupati Jagadish, Mirella Dottori, Andrea J. O'Connor, Vini Gautam   +8 more
wiley   +1 more source

Dimensional Quantum Memory Advantage in the Simulation of Stochastic Processes

, 2018
Stochastic processes underlie a vast range of natural and social phenomena. Some processes such as atomic decay feature intrinsic randomness, whereas other complex processes, e.g., traffic congestion, are effectively probabilistic because we cannot track
Thompson, Jayne, Ghafari, F., Thompson, J., Wiseman, H.M., Shalm, Lynden K., Tischler, Nora, Wiseman, Howard M., Shalm, Lynden K, Howard M. Wiseman, Shalm, L.K., Nam, S.W., Verma, Varun B, Mile Gu, Jayne Thompson, Pryde, Geoff J, Raj B. Patel, Sae Woo Nam, Gu, Mile, Nam, Sae Woo, Verma, Varun B., Patel, Raj B., Patel, R.B., Ghafari, Farzad, Farzad Ghafari, Wiseman, Howard M, Verma, V.B., Gu, M., Lynden K. Shalm, Patel, Raj B, Tischler, N., Pryde, Geoff J., Geoff J. Pryde, Varun B. Verma, Nora Tischler, Pryde, G.J.   +34 more
core   +1 more source

Machine learning approach to reconstruct density matrices from quantum marginals

Machine Learning: Science and Technology
In this work, we propose a machine learning (ML)-based approach to address a specific aspect of the Quantum Marginal Problem: reconstructing a global density matrix compatible with a given set of quantum marginals.
Daniel Uzcategui-Contreras, Antonio Guerra, Sebastian Niklitschek, Aldo Delgado   +3 more
doaj   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

The Topos-theoretical Approach to Quantum Physics

, 2011
I oppgaven tas det sikte på å anvende begreper og metoder fra kategoriteori og især toposteori innen kvantefysikken. I den resulterende teorien, "toposfysikk", brukes toposteori (teorien om generaliserte mengdeuniverser og generaliserte rom) som et verktøy for å konstruere kvantefysikken ved å "lime sammen" klassiske perspektiver eller "snapshots ...
openaire   +1 more source

Tetracyclic π‐Extended Multi‐Resonant TADF Emitters for Green PSF‐OLEDs With 37.7% EQE and BT.2020‐Compatible Top‐Emitting Devices

Advanced Functional Materials, EarlyView.
Ultra‐narrow green multi‐resonance thermally activated delayed fluorescence emitters have been developed by linear π‐extension strategy using tetracyclic naphtho[2,3‐b]benzofuran unit. The resulting phosphorescence‐sensitized OLEDs achieve a maximum external quantum efficiency of 37.7% in the bottom‐emitting architecture, while the complementary top ...
Eo Jin Jeon, Truong Thi Thuy, Nikita Abitkar, Paramasivam Palanisamy, Jiheon Kim, Myungsun Sim, Athithan Maheshwaran, Jang Hyuk Kwon   +7 more
wiley   +1 more source