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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.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗307 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
Physics-informed large models for wind and solar forecasting: A carbon-aware framework for decarbonized power systems ↗
The large-scale integration of wind and solar power is essential for power-sector decarbonization, but their variability creates persistent challenges for forecasting, reserve allocation, storage scheduling, curtailment, and emission-aware operation. This review synthesizes recent advances in statistical, deep-learning, transformer, foundation-model, probabilistic, and physics-informed renewable forecasting, with emphasis on physical consistency, uncertainty, computational requirements, real-time applicability, and system-level operational value. We propose the Physics-Informed Large Model Car…
- OpenAlex · Published · First archived
Physics-informed Graph Attention-Transformer networks for multi-scale residual displacement prediction in progressive collapse of RC frames ↗
Nonlinear dynamic finite element analysis (FEA) is the mainstream method for assessing progressive collapse of structures, but its prohibitive computational cost limits rapid evaluation of damaged building systems. This paper proposes a physics-informed Graph Attention-Transformer (GAT-Transformer) framework as an engineering informatics surrogate for predicting residual displacements of reinforced concrete (RC) frames under progressive collapse. The framework transforms structural layouts, initial column-removal scenarios, and physical attributes into graph-based representations, in which bea…
- OpenAlex · Published · First archived
Recoverable quantum computation: An information-centric paradigm for quantum computing with errors ↗
Quantum computing promises transformative advances in computation, communication, sensing, and machine learning. Yet, the realization of large-scale fault-tolerant quantum computers remains hindered by the enormous overhead required for quantum error correction. This challenge raises a fundamental question: Must useful quantum computing wait until fully fault-tolerant quantum hardware becomes available? In this Perspective, we propose recoverable quantum computation (RQC), an information-centric paradigm for quantum computing with errors. Rather than requiring faithful preservation of the comp…
- OpenAlex · Published · First archived
Development of ultrafast and radiation-hard GAGG for the next-generation of High-Energy Physics calorimeters ↗
The evolution of High Energy Physics (HEP) toward future collider experiments with High Luminosity (HL), such as the HL-LHC, requires the development of scintillating materials that combine high density, excellent radiation hardness and an ultrafast response. While Cerium-doped Gadolinium Aluminum Gallium Garnet (GAGG:Ce) offers a very high light yield and resilience to irradiation, its typical decay time of approximately 50–60 ns may lead to pile-up effects in high-rate environments. In this paper, we report on the development and multi-stage characterization of various accelerated GAGG compo…
- OpenAlex · Published · First archived
Granthi: Higher-Order Quantum Programming via Unitary Wiring ↗
Existing quantum programming languages confine higher-order structure to a classical host while restricting the quantum layer to first-order operations on qubits. This paper presents Granthi, a purely unitary higher-order quantum programming language built on three design commitments: quantum programs are first-class values that may be passed, returned, and coherently composed; additive structure is tag-preserving routing rather than observational branching, so control may remain in superposition; and programmer-facing finite label types with named reversible operations provide domain-level co…
- OpenAlex · Published · First archived
LLM-driven design of physics-constrained constitutive models: Two agents are better than one ↗
Abstract Developing constitutive models that capture how materials deform under load traditionally requires years of specialized expertise in continuum mechanics, machine learning, and scientific programming. Large language models (LLMs) have recently been shown to lower this barrier by generating constitutive models on demand, but existing single-agent pipelines lack systematic checks that the resulting models respect fundamental physical laws. To close this gap, we introduce the first multi-agent LLM-driven approach for constitutive model generation: a Creator agent proposes a model tailored…
- OpenAlex · Published · First archived
Quantum effects in plasmas ↗
The year 2025 has been designated by UNESCO as the International Year of Quantum Science and Technology. One hundred and twenty-five years ago, Max Planck's discovery of radiation quanta started the quantum era, and 100 years ago, quantum mechanics was developed by Schrödinger, Heisenberg, Bohr, Pauli, Dirac, Born, Fermi, and many others. By now, quantum mechanics is the theoretical foundation of most fields of physics and chemistry, and it is the basis for modern nanotechnology. How about plasma physics? How important are quantum effects in plasmas? In what experiments are quantum effects obs…
- OpenAlex · Published · First archived
GPU-Accelerated Quantum Simulation of Stabilizer Circuits ↗
We introduce new parallel algorithms for efficiently simulating stabilizer (Clifford) circuits on GPUs, with a focus on data-parallel tableau evolution and scalable handling of projective measurements. Our approach reformulates key bottlenecks in stabilizer simulation – such as Gaussian elimination and measurement updates – into GPU-tailored primitives that eliminate sequential dependencies and maximize memory coalescing. We implement these techniques in QuaSARQ, a GPU-accelerated stabilizer simulator designed for large qubit counts and many-shot sampling. Across a broad benchmark suite reachi…
- OpenAlex · Published · First archived
Compiling Quantum Regular Language States ↗
State preparation compilers for quantum computers typically sit at two extremes: general-purpose routines that treat the target as an opaque amplitude vector, and bespoke constructions for a handful of well-known state families. We ask whether a compiler can instead accept simple, structure-aware specifications while providing predictable resource guarantees. We answer this by designing and implementing a quantum state-preparation compiler for regular language states (RLS): uniform superpositions over bitstrings accepted by a regular description, and their complements. Users describe the targe…
- OpenAlex · Published · First archived
Universal Dilation of Linear Itô SDEs: Quantum Trajectories and Lindblad Simulation of Second Moments ↗
We present a universal framework for simulating N -dimensional linear Itô stochastic differential equations (SDEs) on quantum computers with additive or multiplicative noises. Building on a unitary dilation technique, we establish a rigorous mapping from the general linear SDEs d X t = A ( t ) X t d t + ∑ j = 1 J B j ( t ) X t d W t j to stochastic Schrödinger equations (SSE) on a dilated Hilbert space. Crucially, this embedding is pathwise exact in that the classical solution is recovered as a projection of the dilated quantum state for each fixed noise realization. We demonstrate that the re…
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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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