Results 101 to 110 of about 1,446 (247)

Effectiveness of the syndrome extraction circuit with flag qubits on IBM quantum hardware [PDF]

Quantum
Large-scale quantum circuits are required to exploit the advantages of quantum computers. Despite significant advancements in quantum hardware, scalability remains a challenge, with errors accumulating as more qubits and gates are added. To overcome this
Younghun Kim, Hansol Kim, Jeongsoo Kang, Wonjae Choi, Younghun Kwon   +4 more
doaj   +1 more source

Reversible, Chemically Gated FRET via Ligand‐Activated Acceptors

Advanced Science, EarlyView.
Fluorogen binding turns the compact FAST tag into a tunable FRET acceptor, with ligand chemistry programming spectral overlap and excited‐state lifetimes. Fluorescence‐lifetime imaging reads out energy transfer through the shortened donor lifetime, while simply adding or washing out the dye switches FRET on and off, reversibly mapping the supramodular ...
Nivedita Singh, Smruti Ranjan Nayak, Sanjay Kumar Mohanty, Aishwarya Hanumantharaju, Amala Shaju, Mini Jose, Aravind Penmatsa, Deepak Nair   +7 more
wiley   +1 more source

Machine Learning Potential for Calcium Silicate Hydrates With Broad Compositional and Structural Diversity

Advanced Science, EarlyView.
Existing machine learning potentials remain limited in their ability to generalize across the broad chemical and structural variability of C–S–H. Here, a representative DFT‐labeled dataset is constructed through large‐scale model generation, redundancy‐controlled screening, first‐principles optimization, and targeted sampling of non‐equilibrium ...
Yunjian Li, Cheng Chen, Roland J.‐M. Pellenq, Zongjin Li, Jiaping Liu   +4 more
wiley   +1 more source

Fault tolerance against amplitude-damping noise using Bacon-Shor codes

Physical Review Research
Designing efficient fault-tolerance schemes is crucial for building useful quantum computers. Most standard schemes assume no knowledge of the underlying device noise and rely on general-purpose quantum error-correcting (QEC) codes capable of handling ...
Long D. H. My, Akshaya Jayashankar, Prabha Mandayam, Hui Khoon Ng   +3 more
doaj   +1 more source

Liquid‐Metal Interfacial Chemistry for Crystal and Defect Engineering in Two‐Dimensional Post‐Transition‐Metal Materials

Advanced Science, EarlyView.
Liquid‐metal interfaces provide dynamic reaction environments in which crystal growth, composition, and defect formation are intrinsically coupled. This Review reveals how interfacial oxidation, alloy thermodynamics, elemental migration, atmosphere, and processing govern defects in 2D post‐transition‐metal materials, and how these defects can be ...
Zhejun Hong, Mohammad B. Ghasemian, Chung Kim Nguyen, Huy Hoang Nguyen, Kourosh Kalantar‐Zadeh, Torben Daeneke, Nitu Syed, Ali Zavabeti   +7 more
wiley   +1 more source

Computational and Data‐Driven Strategies for Lignocellulosic Biomass Valorization: From Multiscale Modeling to Digitalized Biorefinery Design

Advanced Science, EarlyView.
This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar, Jiaxian Zheng, Xiangfeng Lin, Hongwu Liao, Haoqian Xu, Yufei Huang, Zaharaddeen Nasiru Garba, Adamu Uzairu, Weiwei Zhao, Zhanhui Yuan   +9 more
wiley   +1 more source

Machine learning discovers new champion codes

npj Artificial Intelligence
Linear error-correcting codes form the mathematical backbone of modern digital communication and storage systems, but identifying champion linear codes (linear codes achieving or exceeding the best known minimum Hamming distance) remains challenging.
Yang-Hui He, Alexander M. Kasprzyk, Q Le, Dmitrii Riabchenko   +3 more
doaj   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source

Dual Randomness From Spatial and Temporal Variations in Stochastic Zinc Gallate Nanoclusters for PUF and TRNG Co‐Driven Image Generation

Advanced Science, EarlyView.
A dual‐randomness hardware platform is demonstrated by integrating PUF and TRNG functionalities into mixed‐ZGO nanoclusters. By leveraging spatial and temporal stochasticity, the mixed‐ZGO NCs device enables both unique identification and random signal generation.
Seungme Kang, Wangmyung Choi, Jueun Lee, Yeong Kwon Kim, Byung Chul Jang, Wonjun Shin, Hocheon Yoo   +6 more
wiley   +1 more source

Cr1/4NbSe2‐Single Crystal Growth and Evolution of Antiferromagnetic Correlated States

Advanced Science, EarlyView.
High‐quality single crystals Cr1/4NbSe2 were synthesized and comprehensively characterized for the first time. Advanced structural, electronic, and magnetic measurements uncover a correlated antiferromagnetic state, resolving longstanding inconsistencies regarding magnetic behavior derived from earlier polycrystal studies.
Nour Abdelrahman, Bastian Rubrecht, Matheus Felipe de Souza Barbosa, Mahdi Behnami, Dmitriy Efremov, Daniel Wolf, Martin Valldor, Alexey A. Popov, Stanislav M. Avdoshenko, Marco Naumann, Martin Knupfer, Vladislav Kataev, Alexey Alfonsov, Anja U. B. Wolter, Michael Mertig, Bernd Büchner, Silke Hampel   +16 more
wiley   +1 more source