Results 101 to 110 of about 6,358,449 (233)

Anisotropic Phonon Dynamics and Directional Transport in Actinide Van der Waals Semiconductor Uranium Triselenide

Advanced Functional Materials, EarlyView.
USe3 is introduced as an actinide van der Waals semiconductor that mirrors the quasi‐one‐dimensional physics of transition‐metal trichalcogenides. Polarization‐resolved Raman spectroscopy on exfoliated flakes maps strong in‐plane phonon anisotropy and strain‐tunable mode shifts.
Aljoscha Söll, Valentino Jadriško, Sourav Dey, Nassima Benchtaber, Kalyan Sarkar, Borna Radatović, Jan Luxa, Fedor Lipilin, Kseniia Mosina, Vojtěch Kundrát, Jakub Zalesak, Jana Vejpravová, Martin Žáček, Szymon J. Zelewski, Nikolas Antonatos, Christoph Gadermaier, José J. Baldoví, Zdeněk Sofer   +17 more
wiley   +1 more source

Trade-off Between Complexity and Energy in Quantum Phase Estimation

PRX Energy
Quantifying the energetic cost of implementing quantum operations is essential for assessing the efficiency and scalability of quantum sensing and information-processing technologies.
Yukuan Tao, Mădălin Guţă, Gerardo Adesso   +2 more
doaj   +1 more source

Quantum Phase Estimation Using Multivalued Logic

2011 41st IEEE International Symposium on Multiple-Valued Logic, 2011
Quantum phase estimation (QPE) is one of the most important quantum algorithms which is used as a subroutine for other important quantum algorithms like Shor's factoring algorithm, simulation of quantum systems, quantum counting and QFT on arbitrary Zp.
Perkowski, Marek, Parasa, Vamsi
openaire   +4 more sources

Optimized qubit phase estimation in noisy quantum channels

, 2011
We address the estimation of phase-shifts for qubit systems in the presence of noise. Different sources of noise are considered including bit flip, bit-phase flip and phase flip.
STEFANO OLIVARES, S. Olivares, ENRICO TESIO, E. Tesio, MATTEO G. A. PARIS, M. G A Paris   +5 more
core   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors

Advanced Functional Materials, EarlyView.
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang, Mu‐Pai Lee, Jhen‐Dong Tsai, Liang‐Ying Hsieh, Jui‐Yuan Chen, Chun‐Wei Huang, Yen‐Fu Lin, Wen‐Wei Wu   +7 more
wiley   +1 more source

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 more
wiley   +1 more source

Photo‐Degradable Polyester Networks and Multi‐Photon Printed Objects Based on Cyclic Ketene Acetals

Advanced Functional Materials, EarlyView.
The current work introduces a photoreversible polyester network derived from radical ring‐opening polymerization of cyclic ketene acetals. It combines photoreversible cross‐linking with initiator‐free multi‐photon printing. Reversible network formation, tunable mechanical properties, and selective degradation highlight its potential as a versatile ...
Till Meissner, Julian Fanelli, Vinh Xuan Truong, Rob Jones, Jens Gaitzsch, Christopher Barner‐Kowollik   +5 more
wiley   +1 more source

Distributed Phase Estimation at the Heisenberg Limit with Classical Light

Advanced Photonics Research
Quantum metrology, such as quantum phase estimation, can surpass classical sensing limits, reaching the Heisenberg‐scaling precision. So far, this kind of metrology has been thought to be only implementable with the quantum systems, which, however, are ...
Zijian Guo, Peijie Sun, Yifan Sun, Qian Li, Lingjun Kong, Xiangdong Zhang   +5 more
doaj   +1 more source

Unbiased quantum phase estimation

, 2022
Quantum phase estimation algorithm (PEA) is one of the most important algorithms in early studies of quantum computation. It is also a key for many other quantum algorithms, such as the quantum counting algorithm and the Shor's integer factorization ...
Lu, Xi, Lin, Hongwei
core