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http://dx.doi.org/10.1007/BF03392263 | DOI Listing |
Curr Drug Discov Technol
August 2025
Department of Pharmaceutics, Jayawantrao Sawant College of Pharmacy and Research, Savitribai Phule Pune University, Pune, 411028, India.
Introduction: Quantum computing represents a transformative advancement in computational science, with applications in drug discovery, molecular interaction simulation, drug-target binding optimization, and the analysis of complex biological data at unprecedented speeds and accuracy. Quantum computing emerges as a powerful tool to accelerate the development of new therapeutics, drug design, and the simulation of complex chemical interactions, including personalized medicine strategies. The objective of this study is to explore the potential of quantum computing in drug discovery and development, highlighting its ability to reduce time and costs while accelerating the identification of promising drug candidates.
View Article and Find Full Text PDFJ Phys Chem A
July 2025
Chemistry Department, Marquette University, Milwaukee, Wisconsin 53201-1881, United States.
We explore how the fundamental problems in quantum molecular dynamics can be modeled using classical simulators (emulators) of quantum computers and the actual quantum hardware available to us today. The list of problems we tackle includes propagation of a free wave packet, vibration of a harmonic oscillator, and tunneling through a barrier. Each of these problems starts with the initial wave packet setup.
View Article and Find Full Text PDFComput Struct Biotechnol J
April 2025
Department of Neurology, 12 de Octubre University Hospital, Madrid, Spain.
Quantum theories have long sought to explain conscious experience, yet their biggest challenge is not conceptual but methodological. A critical gap remains: the lack of statistical tools capable of empirically testing these theories against objective reality. This study introduces and formalizes the of Fisher-Escolà distribution, the first statistical model to integrate quantum and classical probabilities, enabling robust inferential analysis in neuroscience and consciousness studies.
View Article and Find Full Text PDFNature
April 2025
Departamento de Electrónica y Tecnología de Computadores, Universidad de Granada, Facultad de Ciencias, Granada, Spain.
The semiconductor industry is experiencing an accelerated transformation to overcome the scaling limits of the transistor and to adapt to new requirements in terms of data storage and computation, especially driven by artificial intelligence applications and the Internet of Things. In this process, new materials, devices, integration strategies and system architectures are being developed and optimized. Among them, memristive devices and circuits-memristors are two-terminal memory devices that can also mimic some basic bioelectronic functions-offer a potential approach to create more compact, energy-efficient or better-performing systems.
View Article and Find Full Text PDFPhys Rev Lett
March 2025
California Institute of Technology, Division of Engineering and Applied Science, Pasadena, CA 91125, USA.
Quantum systems subject to random unitary evolution and measurements at random points in spacetime exhibit entanglement phase transitions which depend on the frequency of these measurements. Past work has experimentally observed entanglement phase transitions on near-term quantum computers, but the characterization approach using entanglement entropy is not scalable due to exponential overhead of quantum state tomography and postselection. Recently, an alternative protocol to detect entanglement phase transitions using linear cross entropy was proposed, attempting to eliminate both bottlenecks.
View Article and Find Full Text PDF