His ideas challenge the core idea of quantum mechanics: that events are truly random.
Category: quantum physics
Striatal Dopamine Transporter and Rest Tremor in Parkinson DiseaseA Clinical Validation
【】 Full article: (Authored by Nader Butto, from Petah Tikva, Israel.)
This work presents a vortex-based geometric interpretation of atomic structure, in which electrons are described as localized vortex excitations embedded in a structured vacuum, offering a physically intuitive framework for understanding shells, subshells, orbitals, quantum numbers, and electron configurations without altering the formal structure of quantum mechanics. QUANTUM_NUMBERS vortex_geometry ElectronConfiguration.
The atomic structure of matter represents one of the foundational achievements of modern physics and chemistry. Early experimental investigations by Rutherford established the nuclear model of the atom [1], while Bohr introduced the concept of discrete electronic energy levels to explain atomic spectra [2]. Sommerfeld subsequently extended this picture by incorporating angular momentum quantization and relativistic corrections [3]. These developments paved the way for the formulation of quantum mechanics, which replaced classical electron orbits with a wave-based description of electronic states.
The quantum-mechanical framework, formalized through the work of Schrödinger, Pauli, Born, and Dirac, provides a mathematically rigorous and highly successful description of atomic behavior [4]-[7]. Within this formalism, electrons are described by wavefunctions whose squared modulus gives the probability density of finding an electron in a given region of space. Atomic orbitals arise as solutions of the Schrödinger equation and are characterized by a set of quantum numbers that determine their energy, angular momentum, spatial orientation, and spin. This approach accurately predicts atomic spectra, selection rules, and chemical periodicity.
AI Decoder Could Cut Quantum Errors by Up to 17×, Study Finds
Don’t listen to TLC. When it comes to error correction, in fact, do go chasing waterfalls.
A new study shows that artificial intelligence can unlock a “waterfall” effect in error correction, sharply reducing error rates and processing time.
Researchers from Harvard University reported in the pre-print server arXiv that they developed a neural-network-based decoder that outperforms existing methods by wide margins, while revealing a previously hidden regime of error suppression that challenges long-standing assumptions about how quantum systems scale.
Cosmological Astrophysics
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DNA as a quantum system in evolution
Time may be viewed as an emergent consequence of increasing information entropy. I explore a toy quantum‑information model in which DNA is treated as an open quantum system. In this framework, weak, time‑dependent perturbations (potentially arising from thermal fluctuations, ionic microfields, metabolic noise, or electromagnetic signals) bias the micro‑timing of events during replication and repair. These slight timing shifts can influence the fate of transient electronic and protonic configurations (including short‑lived tautomeric states driven by proton‑transfer tunnelling), subtly altering mutation probabilities. To test this idea, I map nucleotides in the Mycobacterium tuberculosis genome to constrained qubit states and quantify informational structure using Shannon and von Neumann entropies and coding to non‑coding correlation metrics. Simulations of Hamiltonian dynamics under physiologically plausible perturbations show that real genomic segments exhibit distinctive dynamical signatures compared with controls. I also examine a variant in which a weak, slowly varying external signal is introduced as a background “beat” against which DNA dynamics can be compared. Because a Doppler shift in electromagnetic waves encodes the flow of time through the relative motion of source and observer, a cosmic microwave background (CMB) with a tiny frequency drift provides a conceptual clock and a source of informational entropy: it feeds a time‑correlated input into the DNA quantum system, allowing the molecule to sample cosmic time and translate it into a biological scale by modulating tunnelling probabilities and thus mutation patterns. This CMB‑inspired drive is simply a convenient illustration; the model does not rely on it, and other sources of weakly structured entropy could be tested. Across simulations, sequence‑dependent responses to both intrinsic and structured perturbations generate testable predictions: changing the structure or timing of these weak perturbations should produce reproducible shifts in mutation spectra. This framework connects cellular ageing and evolution to the flow of cosmic time and suggests experiments to probe DNA’s sensitivity to time‑dependent perturbations.
Citation: Garcia NA (2026) DNA as a quantum system in evolution. PLoS One 21: e0344520. https://doi.org/10.1371/journal.pone.
Editor: Yang Jack Lu, Beijing Technology and Business University, CHINA.
New Simulations Preserve Quantum Rules While Modelling Complex Materials
Until now, accurately modelling both spin and orbital motion in materials with spin-orbit coupling meant sacrificing computational speed. A new mixed quantum-classical model, based on Koopman wavefunctions, overcomes this limitation, accurately simulating these dynamics even where traditional methods fail. The approach reproduces full quantum results, particularly when a harmonic potential is present, opening new avenues for materials design.
Selectively eliminating old, damaged fat cells
A team from The University of Texas at Austin reviews recent advances in dilute noble metal films for infrared optics and plasmonics: https://bit.ly/4s9XHKR
To address a growing need for a sub-wavelength and nanophotonic optical infrastructure to support quantum applications, dilute noble metals provide a high-optical-quality approach for nanophotonics at long wavelengths.
With further research, their potential applications can even include mid-IR sensing, optoelectronics, and quantum photonics at long wavelengths.
The infrared optical response of noble metals is traditionally considered perfect electrical conductor (PEC)-like due to the noble metals’ exceptionally large electron concentrations, and thus large (and negative) real permittivity. While PEC-like behavior is ideal for a broad range of applications, for instance mirrors, gratings, and wavelength-(and macro-) scale resonators and antennas, the utility of noble metals for nanoscale (sub-diffraction-limit) physics at long wavelengths is limited. However, in ultra-low volume (dilute) metal films, such as those with nanometer-scale thicknesses or lithographic dilution (subwavelength perforation), the thin films’ sheet conductivity is massively reduced, enabling light to penetrate and interact with the films much more efficiently. This avails the infrared of a host of opportunities for noble-metal-based plasmonics, with the potential for nanoscale (deep subwavelength) confinement and strong light-matter interaction, otherwise prohibited with noble metals in this wavelength range. In this perspective, we review the recent advances in dilute metal films for near-and mid-infrared photonics and plasmonics, and discuss the advantageous properties of these optical thin films for potential applications in sensors, detectors, sources, and nonlinear and quantum optics.