Archives of Computational Methods in Engineering, Год журнала: 2022, Номер 30(1), С. 615 - 638
Опубликована: Сен. 26, 2022
Язык: Английский
Reviews of Modern Physics, Год журнала: 2024, Номер 96(3)
Опубликована: Июль 9, 2024
Storage of energy in quantum devices is practical relevance for applications technologies. The topic attracts attention also a more foundational character due to the possibility that charging power and work extraction can benefit from coherence collective effects. This Colloquium reviews theoretical concepts experimental implementations storage batteries drawing on thermodynamics information science.
Язык: Английский
Процитировано
48
Reports on Progress in Physics, Год журнала: 2023, Номер 86(3), С. 036501 - 036501
Опубликована: Янв. 5, 2023
We present an overview of recent advances in the study energy dynamics and mechanisms for conversion qubit systems with special focus on realizations superconducting quantum circuits. briefly introduce relevant theoretical framework to analyze heat generation, transport these without time-dependent driving considering effect equilibrium non-equilibrium environments. specific problems under current investigation context systems. These include problem dissipation possible routes its control, pumping between sources reservoirs, implementation thermal machines storage. highlight underlying fundamental phenomena related geometrical topological properties, as well many-body correlations. also experimental activity this field.
Язык: Английский
Процитировано
47
npj Quantum Information, Год журнала: 2024, Номер 10(1)
Опубликована: Апрель 26, 2024
Язык: Английский
Процитировано
37
Advanced Quantum Technologies, Год журнала: 2024, Номер 7(3)
Опубликована: Янв. 18, 2024
Abstract The development of quantum‐enabled photonic technologies has opened new avenues for advanced illumination across diverse fields, including sensing, computing, materials, and integration. This review highlights how Quantum‐enhanced sensing imaging exploit nonclassical correlations to attain unprecedented accuracy in chaotic environments. As well as guaranteeing secure communications, quantum cryptography, protected by physical principles, ensures unbreakable cryptographic key exchange. computing speed increases exponentially, previously unimplementable uses classical computers become feasible. On‐chip integration enables the mass production components pervasive applications facilitating miniaturization scalability. A powerful flexible platform is produced when systems are combined. Quantum spin liquids other topological materials can maintain their states while subject decoherence. Despite challenges with decoherence, production, commercialization, photonics an exciting area study that promises lighting techniques impossible conventional optics. To realize this promise, researchers from several fields must work together solve complex technical problems decode fundamental physics. Finally, advances have potential evolve devices cutting‐edge methods usher a age options based on dots.
Язык: Английский
Процитировано
29
EPJ Quantum Technology, Год журнала: 2024, Номер 11(1)
Опубликована: Янв. 10, 2024
Язык: Английский
Процитировано
19
Discover Oncology, Год журнала: 2025, Номер 16(1)
Опубликована: Янв. 22, 2025
Abstract Liver cancer is one of the most challenging malignancies, often associated with poor prognosis and limited treatment options. Recent advancements in nanotechnology artificial intelligence (AI) have opened new frontiers fight against this disease. Nanotechnology enables precise, targeted drug delivery, enhancing efficacy therapeutics while minimizing off-target effects. Simultaneously, AI contributes to improved diagnostic accuracy, predictive modeling, development personalized strategies. This review explores convergence liver treatment, evaluating current progress, identifying existing research gaps, discussing future directions. We highlight how AI-powered algorithms can optimize nanocarrier design, facilitate real-time monitoring efficacy, enhance clinical decision-making. By integrating nanotechnology, clinicians achieve more accurate patient stratification personalization, ultimately improving outcomes. holds significant promise for transforming therapy into a individualized, efficient process. However, data privacy, regulatory hurdles, need large-scale validation remain. Addressing these issues will be essential fully realizing potential technologies oncology.
Язык: Английский
Процитировано
9
APL Machine Learning, Год журнала: 2025, Номер 3(1)
Опубликована: Янв. 17, 2025
Entanglement is fundamental to quantum information science and technology, yet controlling manipulating entanglement—so-called entanglement engineering—for arbitrary systems remains a formidable challenge. There are two difficulties: the fragility of its experimental characterization. We develop model-free deep reinforcement-learning (RL) approach engineering, in which feedback control together with weak continuous measurement partial state observation exploited generate maintain desired entanglement. employ optomechanical linear or nonlinear photon–phonon interactions demonstrate workings our machine-learning-based engineering protocol. In particular, RL agent sequentially interacts one multiple parallel environments, collects trajectories, updates policy maximize accumulated reward create stabilize over an amount time. The principle applicable general.
Язык: Английский
Процитировано
3
Algorithms, Год журнала: 2025, Номер 18(3), С. 156 - 156
Опубликована: Март 9, 2025
Medical decision-making is increasingly integrating quantum computing (QC) and machine learning (ML) to analyze complex datasets, improve diagnostics, enable personalized treatments. While QC holds the potential accelerate optimization, drug discovery, genomic analysis as hardware capabilities advance, current implementations remain limited compared classical in many practical applications. Meanwhile, ML has already demonstrated significant success medical imaging, predictive modeling, decision support. Their convergence, particularly through (QML), presents opportunities for future advancements processing high-dimensional healthcare data improving clinical outcomes. This review examines foundational concepts, key applications, challenges of these technologies healthcare, explores their synergy solving problems, outlines directions quantum-enhanced decision-making.
Язык: Английский
Процитировано
3
Materials Science and Engineering R Reports, Год журнала: 2021, Номер 146, С. 100646 - 100646
Опубликована: Окт. 1, 2021
Язык: Английский
Процитировано
72
Chemical Reviews, Год журнала: 2021, Номер 122(1), С. 50 - 131
Опубликована: Ноя. 24, 2021
Two-dimensional materials (2DMs) have attracted tremendous research interest over the last two decades. Their unique optical, electronic, thermal, and mechanical properties make 2DMs key building blocks for fabrication of novel complementary metal–oxide–semiconductor (CMOS) beyond-CMOS devices. Major advances in device functionality performance been made by covalent or noncovalent functionalization with molecules: while molecular coating metal electrodes dielectrics allows more efficient charge injection transport through 2DMs, combination dynamic systems, capable to respond external stimuli, makes it possible generate hybrid systems possessing new realizing stimuli-responsive functional devices thereby enabling diversification More–than–Moore technologies. In this review, we first introduce emerging various classes (macro)molecules, switches discuss their relevant properties. We then turn 2DM/molecule physical chemical strategies used synthesize them. Next, use molecules assemblies thereof boost 2D transistors CMOS applications impart diverse functionalities beyond–CMOS Finally, present challenges, opportunities, long-term perspectives technologically promising field.
Язык: Английский
Процитировано
72