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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 ↗313 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
Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics ↗
The next generation of particle physics experiments will face an era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environments and operational constraints. Harnessing these data for scientific discovery demands real-time inference and decision-making, intelligent data reduction, and efficient processing architectures beyond current capabilities. Crucial to the success of this experimental paradigm are several emerging technologies, such as artificial intelligence and machine learning, silicon microelectronics, and the advent of quantum algor…
- OpenAlex · Published · First archived
Sampled-Based Guided Quantum Walk: Non-variational quantum algorithm for combinatorial optimization ↗
We introduce SamBa-GQW, a novel quantum algorithm for solving binary combinatorial optimization problems of arbitrary degree with no use of any classical optimizer. The algorithm is based on a continuous-time quantum walk on the solution space represented as a graph. The walker explores the solution space to find its way to vertices that minimize the cost function of the optimization problem. The key novelty of our algorithm is an offline classical sampling protocol that gives information about the spectrum of the problem Hamiltonian. Then, the extracted information is used to guide the walker…
- OpenAlex · Published · First archived
Detecting quantum properties in physical systems using proxy witnesses ↗
Abstract In practice, it is quite challenging to detect a quantum property, a microscopic property, in a system. In our work, we construct general proxy witnesses of quantum properties to detect their presence in quantum systems and we do so for quantum systems which may possibly be large. In particular, we discuss proxy witnesses for quantum properties like unextendibility, quantum coherence, activation, steerability, and entanglement. We apply these proxy witnesses in some widely considered examples of many-body systems, viz., the quantum Heisenberg models and the quantum J1-J2 model.
- OpenAlex · Published · First archived
Physics-Guided Multi-View Transformer with Block Attention Residuals for Cross-Condition Railway Bearing Fault Diagnosis ↗
Railway bearings experience speed- and load-dependent distribution shifts that complicate fault diagnosis. This study proposes a Physics-Guided Multi-View Transformer with Block Attention Residuals (PGMV-BAR). Characteristic-order prior tokens sequentially query envelope-order and time–frequency features and remain in the fusion sequence with a separate condition token. A two-stage strategy combines masked reconstruction, contrastive consistency, prior alignment, and supervised fine-tuning. Evaluation follows a source-only cross-condition protocol. Beijing Jiaotong University–Rail Autonomous O…
- OpenAlex · Published · First archived
Quantum-Enabled Identification of Microbial Subcommunities Associated with Stability and VFA Selectivity in Anaerobic Fermentation ↗
Abstract Mixed-cultured anaerobic fermentation (AF) is increasingly deployed for resource recovery from waste streams, yet process instability and unpredictable volatile fatty acid (VFA) selectivity limit performance. To identify the influential microbes or multimicrobe relationships affecting AF performance, we use a photonic quantum computing algorithm to identify microbial cliques (e.g., strict subcommunities of co-occurring taxa) from two pilot-scale AF reactors, which differed in the organic loading rate (OLR), stability, and VFA profiles. A greater yield of VFA was recovered from the low…
- OpenAlex · Published · First archived
State-backend-dependent fidelity of the CCZ gate on superconducting quantum computers ↗
Abstract We present an experimental characterization of the three-qubit controlled-controlled-Z (CCZ) gate on IBM Quantum’s 127-qubit superconducting quantum computers, revealing state-backend-dependent performance variations. Using quantum state tomography (QST), we evaluate the gate’s output-state fidelity when applied to three algorithmically significant input states—the W state, the Greenberger–Horne–Zeilinger (GHZ) state, and the uniform superposition state. Each state probes distinct aspects of the reconstructed state fidelity, the GHZ state tests coherence in maximally entangled systems…
- OpenAlex · Published · First archived
Physics-Informed Knowledge Distillation of a Certified Algebraic Oracle for Selective Harmonic Elimination in Nine-Level Inverters ↗
Selective harmonic elimination pulse-width modulation places exact spectral nulls at fundamental-frequency switching, yet its defining transcendental system admits no closed form and is resolved offline, leaving the deployed modulator without an optimality certificate for its angles and without any mechanism for restoring exactness at run time. A Chebyshev change of variables reduces the nine-level, four-angle system nulling the 3rd, 5th, and 7th harmonics to a single monic quartic whose coefficients are closed-form rational functions of the modulation index, certifying a unique angle set per…
- OpenAlex · Published · First archived
An efficiency-oriented physics-informed transfer learning framework for transient simulation across diverse properties and conditions in liquid energy pipelines ↗
As pipeline-transported liquid energy has expanded to include hydrogen-based and bio-based fuels, achieving efficient and rapid simulations across diverse physical properties and conditions is essential for timely early warning of anomalies. However, conventional numerical computation is hindered by iterative parameter identification, precluding computational efficiency. Emerging physics-informed machine learning techniques necessitate excessive retraining whenever fluid properties or conditions change, which might take hours. Furthermore, they struggle to accurately capture the transient osci…
- OpenAlex · Published · First archived
Tokenizing battery degradation: a physics-informed and uncertainty-aware framework for state-of-health estimation ↗
Accurate and trustworthy estimation of State of Health (SOH) is essential for the safe and efficient operation of modern battery management systems. While data-driven methods have achieved high accuracy, they often lack physical grounding and fail to provide reliable confidence metrics for their predictions, posing risks in safety-critical applications. In this work, we introduce TBD-SOH, an SOH estimation framework that combines physics-informed feature construction with uncertainty-aware regression. Specifically, each charging cycle is represented as a fused cycle-level token constructed fro…
- OpenAlex · Published · First archived
Physics-Informed Multi-Parameter Optimization of Oxide-Based Memristor Characteristics Using Genetic Algorithms ↗
Abstract We present a multiobjective, physics-informed optimization framework for oxide-based memristive devices that jointly minimizes forming voltage (Vf) and maximizes memory contrast (HRS/LRS). The proposed approach integrates COMSOL Multiphysics with MATLAB through a genetic algorithm (GA), enabling self-consistent electrothermal simulations and systematic exploration of a high-dimensional design space encompassing geometrical, electrical, thermal, and operational parameters. By optimizing 13 key variables, the GA efficiently identifies optimal trade-offs between switching efficiency and…
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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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