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Earlier sources: Physics
This science thread follows physics through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
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Open in the map ↗304 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
The PairInteraction toolkit for modeling Rydberg physics in alkali and alkaline-earth-like atoms ↗
Abstract Rydberg atoms provide a powerful platform for exploring strongly interacting quantum systems, both in free space and in structured electromagnetic environments, with growing applications in quantum technology. Accurately modeling their single-atom properties and mutual interactions is essential for interpreting experiments and designing new architectures. We present a unified theoretical framework for Rydberg atoms and their interactions based on multi-channel quantum defect theory (MQDT) and static electromagnetic Green’s tensors. MQDT provides a precise description of Rydberg states…
- OpenAlex · Published · First archived
Physics-Informed Simulated-Annealing Path-Planning for Mitigating Thermal Accumulation During Nanosecond Laser Drilling of PMMA Micro-Hole Arrays ↗
The high-precision laser micromachining of thermally sensitive PMMA polymers is severely limited by thermal accumulation, which deteriorates the surface quality of micro-hole arrays. Current laser drilling path optimization strategies predominantly prioritize geometric efficiency by minimizing travel distance, whereas quantitative thermal-constrained path optimization for PMMA micro-hole drilling remains underexplored. This work proposes a constrained simulated-annealing (SAA) path-planning strategy that embeds physical thermal constraints (critical thermal radius R and spacing threshold M) in…
- OpenAlex · Published · First archived
The Thermodynamic Origin of Quantum Uncertainty and Particle Localization ↗
Quantum uncertainty and wavefunction collapse remain among the most conceptually unresolved aspects of microscopic physics. Here, we investigate whether uncertainty and collapse-like electron localization may admit a complementary thermodynamic interpretation through recursive entropy-field dynamics. The electron is modeled as a dynamically evolving entropy field geometry composed of structural, electromagnetic, and thermal entropy components maintained through continuous recursive interaction with the surrounding vacuum entropy field. Within this framework, uncertainty emerges from incomplete…
- OpenAlex · Published · First archived
Physics-informed single-frame end-to-end learning for denoising and background removal in fluorescence imaging ↗
Fluorescence microscopy is often limited by low signal-to-noise ratios arising from the finite number of detected photons and by an out-of-focus background that obscures structural details. Here, we introduce a physics-informed end-to-end learning framework that enables denoising and background suppression from a single fluorescence image. By integrating a microscope-parameterized forward model, the proposed framework generates realistic training datasets entirely through simulation, eliminating the need for experimentally acquired ground-truth images. Once trained for a given imaging conditio…
- OpenAlex · Published · First archived
Selective Biexciton Generation under Energy-Time Entangled Quantum Light in Quantum Dots ↗
Abstract Quantum light provides opportunities for controlling multiphoton absorption beyond the classical limits. Here, we investigate biexciton generation in nanocrystal quantum dots driven by energy-time-entangled photon pairs generated via spontaneous parametric downconversion. We show that frequency–time correlations between pairs of photons increase the population of biexcitons over excitons, thereby lending specificity to the excitation of many-body states. By employing a three-level model, we demonstrate that biexciton generation depends nontrivially on the photon entanglement time and…
- OpenAlex · Published · First archived
Error semitransparent universal control of a bosonic logical qubit ↗
Abstract Bosonic codes offer hardware-efficient quantum error correction, recently achieving beyond-breakeven quantum memory. However, fault-tolerant logical operations remain a critical bottleneck. While error transparent (ET) gates offer a pathway to resolve this, experimental demonstrations remain limited to phase gates. Here, we introduce a dynamic encoding subspaces framework that enables simple linear drives to accomplish universal logical gates that are error semi-transparent (EsT) to oscillator photon loss. Our EsT logical gate set of { X , H , T } exhibited a five-fold reduction in in…
- OpenAlex · Published · First archived
Quantum Spacetime from Constraints: Wave Equations and Fields ↗
Abstract In previous works, we showed that both time and space can emerge from entanglement within a globally constrained quantum Universe, with no background coordinates. By extending the Page and Wootters quantum time formalism to include both quantum clocks and rods, and imposing global constraints on total energy and momentum, we constructed a fully relational model of quantum spacetime. Here we take a further step: working in 1+1 dimensions, we show that the standard wave equations governing quantum particles–the Schrödinger, Klein-Gordon and Dirac equations–emerge naturally from this fra…
- OpenAlex · Published · First archived
Quantum algorithms for general nonlinear dynamics based on the Carleman embedding ↗
Important nonlinear dynamics, such as those found in plasma and fluid systems, are typically hard to simulate on classical computers. Thus, if fault-tolerant quantum computers could efficiently solve such nonlinear problems, it would be a transformative change for many industries. In a recent breakthrough [Liu et al., PNAS 2021], the first efficient quantum algorithm for solving nonlinear differential equations was constructed, based on a single condition R < 1 , where R characterizes the ratio of nonlinearity to dissipation. This result, however, is limited to the class of purely dissipative…
- OpenAlex · Published · First archived
Quantum convolutional neural networks for jet images classification ↗
Abstract Recently, interest in quantum computing has significantly increased, driven by its potential advantages over classical techniques. Quantum machine learning (QML) exemplifies one of the important quantum computing applications that are expected to surpass classical machine learning in a wide range of instances. This paper addresses the performance of QML in the context of high-energy physics (HEP). As an example, we focus on the top-quark tagging, for which classical convolutional neural networks (CNNs) have been effective but fall short in accuracy when dealing with highly energetic j…
- arXiv · Published · First archived
Black hole radial geometry from a quantum spin chain ↗
We show that the radial differential equation for a scalar field in an anti-de Sitter black brane background can be encoded in an exactly solvable semi-infinite spin chain independent of dimensionality. The radial coordinate emerges as lattice quasimomentum. Spin coherence encodes the geometry, while the spectrum and response recover gravitational observables and yield exact screening-mass sum rules. We implement the finite chain on a superconducting processor. At finite filling and low energies, the model yields a conformal field theory in a coordinate proportional to proper radial distance.
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How to assess evidence about Physics
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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