Výsledky vyhledávání - "Suchita Agrawal"

Akademický článek

Rydberg Molecules Bound by Strong Light Fields

Autor: Simon Hollerith, Valentin Walther, Kritsana Srakaew, David Wei, Daniel Adler, Suchita Agrawal, Pascal Weckesser, Immanuel Bloch, Johannes Zeiher

Publikováno v: PRX Quantum, Vol 5, Iss 3, p 030335 (2024)

The coupling of an isolated quantum state to a continuum is typically associated with decoherence and decreased lifetime. For coupling rates larger than the bandwidth of the associated continuum, decoherence can be mitigated, and new stable eigenstat

Externí odkaz: https://doaj.org/article/f62d5ce7f24743f0b322caaaa4611f55

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Akademický článek

Observation of Brane Parity Order in Programmable Optical Lattices

Autor: David Wei, Daniel Adler, Kritsana Srakaew, Suchita Agrawal, Pascal Weckesser, Immanuel Bloch, Johannes Zeiher

Publikováno v: Physical Review X, Vol 13, Iss 2, p 021042 (2023)

The Mott-insulating phase of the two-dimensional (2D) Bose-Hubbard model is expected to be characterized by a nonlocal brane parity order. Parity order captures the presence of microscopic particle-hole fluctuations and entanglement, whose properties

Externí odkaz: https://doaj.org/article/f08eaae40b524e059cab3e1da3119706

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Akademický článek

Peripheral Blood-Based Gene Expression Studies in Schizophrenia: A Systematic Review

Autor: Vipul Vilas Wagh, Parin Vyas, Suchita Agrawal, Tejaswini A. Pachpor, Vasudeo Paralikar, Satyajeet P. Khare

Publikováno v: Frontiers in Genetics, Vol 12 (2021)

Schizophrenia is a disorder that is characterized by delusions, hallucinations, disorganized speech or behavior, and socio-occupational impairment. The duration of observation and variability in symptoms can make the accurate diagnosis difficult. Ide

Externí odkaz: https://doaj.org/article/0a52904a607946ed8e97e0848322b112

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Ensemble learning for higher diagnostic precision in schizophrenia using peripheral blood gene expression profile

Autor: Vipul Vilas Wagh, Suchita Agrawal, Shruti Purohit, Tejaswini Pachpor, Leelavati Narlikar, Vasudeo Paralikar, Satyajeet Khare

The need for molecular biomarkers for schizophrenia has been well recognized. Peripheral blood gene expression profiling and machine learning (ML) tools have recently become popular for biomarker discovery. The stigmatization associated with schizoph

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::21d67bf474e3da5e9c434038e5330a7b
https://doi.org/10.1101/2023.02.11.23285788