Nature Materials, Journal Year: 2022, Volume and Issue: 21(8), P. 896 - 902
Published: July 14, 2022
Language: Английский
Reviews of Modern Physics, Journal Year: 2024, Volume and Issue: 96(3)
Published: July 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.
Language: Английский
Citations
48
npj Quantum Information, Journal Year: 2024, Volume and Issue: 10(1)
Published: April 26, 2024
Language: Английский
Citations
35
Advanced Quantum Technologies, Journal Year: 2024, Volume and Issue: 7(3)
Published: Jan. 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.
Language: Английский
Citations
28
EPJ Quantum Technology, Journal Year: 2024, Volume and Issue: 11(1)
Published: Jan. 10, 2024
Language: Английский
Citations
18
Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)
Published: Jan. 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.
Language: Английский
Citations
6
APL Machine Learning, Journal Year: 2025, Volume and Issue: 3(1)
Published: Jan. 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.
Language: Английский
Citations
2
Nature Physics, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 31, 2025
Language: Английский
Citations
2
npj Computational Materials, Journal Year: 2025, Volume and Issue: 11(1)
Published: Feb. 20, 2025
Language: Английский
Citations
2
Physical Review Letters, Journal Year: 2025, Volume and Issue: 134(9)
Published: March 6, 2025
The lifetime of superconducting qubits is limited by dielectric loss, and a major source loss the native oxide present at surface metal. Specifically, tantalum-based have been demonstrated with record lifetimes, but presence two-level systems in tantalum oxide. Here, we demonstrate strategy for avoiding formation encapsulating noble metals that do not form By depositing few nanometers Au or AuPd alloy before breaking vacuum, completely suppress formation. Microwave measurements resonators reveal metal proximitized, gap over 80% bare thicknesses where fully suppressed. Our findings suggest losses fabricated subtractive etching are dominated oxides on sidewalls, pointing to total encapsulation additive fabrication as promising eliminating system qubits.
Language: Английский
Citations
2
Algorithms, Journal Year: 2025, Volume and Issue: 18(3), P. 156 - 156
Published: March 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.
Language: Английский
Citations
2