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1. Depolarization via Coherently Activated Plasmonic Metasurfaces

   https://doi.org/10.1021/acs.jpcc.5c01650  

   Sadeghi, Seyed M; Roberts, Dustin T; Knox, Harrison; Goul, Ryan; Maroufian, Seyed A; Wu, Judy (June 2025, The Journal of Physical Chemistry C)
2. Understanding the depolarization temperature in (Bi0.5Na0.5)TiO3-based ferroelectrics

   https://doi.org/10.1016/j.jeurceramsoc.2023.03.013  

   Fan, Zhongming; Momjian, Sevag; Randall, Clive A. (August 2023, Journal of the European Ceramic Society)
3. A Modified Depolarization Approach for Efficient Quantum Machine Learning

   https://doi.org/10.3390/math12091385  

   Khanal, Bikram; Rivas, Pablo (May 2024, Mathematics)

   Quantum Computing in the Noisy Intermediate-Scale Quantum (NISQ) era has shown promising applications in machine learning, optimization, and cryptography. Despite these progresses, challenges persist due to system noise, errors, and decoherence. These system noises complicate the simulation of quantum systems. The depolarization channel is a standard tool for simulating a quantum system’s noise. However, modeling such noise for practical applications is computationally expensive when we have limited hardware resources, as is the case in the NISQ era. This work proposes a modified representation for a single-qubit depolarization channel. Our modified channel uses two Kraus operators based only on X and Z Pauli matrices. Our approach reduces the computational complexity from six to four matrix multiplications per channel execution. Experiments on a Quantum Machine Learning (QML) model on the Iris dataset across various circuit depths and depolarization rates validate that our approach maintains the model’s accuracy while improving efficiency. This simplified noise model enables more scalable simulations of quantum circuits under depolarization, advancing capabilities in the NISQ era. 

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4. Ferroelectrics, Negative Capacitance and Depolarization Field: What exactly is negative capacitance?

   https://doi.org/10.1109/DRC46940.2019.9046410  

   Khan, Asif I. (June 2019, 2019 Device Research Conference (DRC))

   2019 marks the 11 th year since the concept of ferroelectric negative capacitance was first proposed [1]. It was proposed as a physics solution to an engineering problem: The power dissipation in electronics and computing. Yet, it was unique in that the technology required a fundamental scientific discovery in a field that was ~90 years old at that time-the discovery of negative capacitance or static negative permittivity in ferroelectrics. Initially, interests into negative capacitance were limited to the device researchers; over time, the topic brought together the “often-disjoint” communities of device engineers, condensed matter physicists and material scientists in exploring, understanding and finally discovering this phenomenon [2]-[7]. Different manifestations of the negative capacitance phenomenon, namely, capacitance enhancement, negative differential relation between charge and voltage as well as atomic scale mapping of the stabilized, negative capacitance states corroborated with phase field and density functional theory based calculations have established this concept on a solid ground. 

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5. Synaptic and Network Contributions to Anoxic Depolarization in Mouse Hippocampal Slices

   https://doi.org/10.1016/j.neuroscience.2021.02.021  

   Heit, Bradley S.; Dykas, Patricia; Chu, Alex; Sane, Abhay; Larson, John (May 2021, Neuroscience)