paper-with-me

홈 › Papers

Non-Markovain Quantum State Diffusion for the Tunneling in SARS-COVID-19 virus

2025-02-07 · Muhammad Waqas Haseeb, Mohamad Toutounji

In the context of biology, unlike the comprehensively established Standard Model in physics, many biological processes lack a complete theoretical framework and are often described phenomenologically. A pertinent example is olfaction -- the process through which humans and animals distinguish various odors. The conventional biological explanation for olfaction relies on the lock and key model, which, while useful, does not fully account for all observed phenomena. As an alternative or complement to this model, vibration-assisted electron tunneling has been proposed. Drawing inspiration from the vibration-assisted electron tunneling model for olfaction, we have developed a theoretical model for electron tunneling in SARS-CoV-2 virus infection within a non-Markovian framework. We approach this by solving the non-Markovian quantum stochastic Schrodinger equation. In our model, the spike protein and the GPCR receptor are conceptualized as a dimer, utilizing the spin-Boson model to facilitate the description of electron tunneling. Our analysis demonstrates that electron tunneling in this context exhibits inherently non-Markovian characteristics, extending into the intermediate and strong coupling regimes between the dimer components. This behavior stands in stark contrast to predictions from Markovian models, which fail to accurately describe electron tunneling in the strong coupling limit. Notably, Markovian approximations often lead to unphysical negative probabilities in this regime, underscoring their limitations and highlighting the necessity of incorporating non-Markovian dynamics for a more realistic description of biological quantum processes. This approach not only broadens our understanding of viral infection mechanisms but also enhances the biological accuracy and relevance of our theoretical framework in describing complex biological interactions.

📄 PDF Abstract BibTeX arXiv:2502.17449

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks

2022-09-29 · Yizhou Liu, Weijie J. Su, Tongyang Li

Classical algorithms are often not effective for solving nonconvex optimization problems where local minima are separated by high barriers. In this paper, we explore possible quantum speedups for nonconvex optimization b…

Quantization-based Optimization with Perspective of Quantum Mechanics

2023-08-20 · Jinwuk Seok, Changsik Cho

Statistical and stochastic analysis based on thermodynamics has been the main analysis framework for stochastic global optimization. Recently, appearing quantum annealing or quantum tunneling algorithm for global optimiz…

global-optimizationQuantizationvalid

Efficiency of quantum versus classical annealing in non-convex learning problems

2017-06-26 · Carlo Baldassi, Riccardo Zecchina

Quantum annealers aim at solving non-convex optimization problems by exploiting cooperative tunneling effects to escape local minima. The underlying idea consists in designing a classical energy function whose ground sta…

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment

2026-05-30 · Uiwon Hwang, Jaeho Hwang arxiv

Transistor scaling is approaching a quantum-mechanical limit, as thin gate oxides induce electron leakage through quantum tunneling. Unlike conventional digital systems, AI inference can tolerate such errors provided the…

Optimization of neural networks via finite-value quantum fluctuations

2018-07-01 · Masayuki Ohzeki, Shuntaro Okada, Masayoshi Terabe, Shinichiro Taguchi

We numerically test an optimization method for deep neural networks (DNNs) using quantum fluctuations inspired by quantum annealing. For efficient optimization, our method utilizes the quantum tunneling effect beyond the…