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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 ↗303 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.
- arXiv · Published · First archived
Optimal Interferometer Geometry for Gravitationally Induced Quantum Entanglement ↗
The quest for a quantum theory of gravity remains a central challenge in modern physics, driven by the goal of unifying general relativity and quantum mechanics. Direct experimental access to quantum gravitational effects is notoriously difficult due to the inaccessibility of the Planck scale. Recent proposals, however, suggest that gravitationally induced quantum entanglement between two massive particles, realized through advanced quantum interferometric techniques, could provide empirical evidence for the quantum nature of gravity. We demonstrate that the geometrical configuration of an int…
- arXiv · Published · First archived
Noise-Resilient Testing of Quantum Programs Based on Output Dominance ↗
Quantum software testing (QST) is a central quality-assurance activity for checking whether quantum programs conform to their specifications. In the noisy intermediate-scale quantum (NISQ) era, gate, decoherence, and measurement errors distort observed outputs, making it difficult to distinguish program defects from noise. The existing noise-aware QST literature typically mitigates or models noise before applying a test oracle. However, these strategies can incur substantial cost and depend on calibration data, model training, or backend-specific information, limiting their applicability. We p…
- arXiv · Published · First archived
Structural Conditions for Distributed Quantum Advantage ↗
Circuit cutting runs a quantum computation on processors smaller than the circuit, at the price of classical knitting whose cost grows exponentially with the number of cut gates. Keeping this cost affordable is necessary but not sufficient for an advantage, since knitting classically easy subcircuits is itself classically easy. We formulate three requirements for distributed quantum advantage under a stated budget: affordable knitting, classical difficulty that survives the cut, and, for variational circuits, resolvable gradients. We prove that under stated assumptions knitting stays affordabl…
- arXiv · Published · First archived
A Cheat-Sensitive Primitive for Destination-Private Quantum Routing ↗
Quantum networks will rely on intermediate nodes to distribute entanglement, but the same nodes may learn which users are being connected. We introduce a minimal two-call routing primitive in which a user, Alice, establishes an entangled link with one of several clients while testing whether the provider, Bob, has disturbed a coherently encoded request. The construction adapts the hidden-order mechanism of quantum private queries: one call contains a direct request, the other a coherent superposition of the desired and null addresses, and Alice keeps their order secret. A private matching qubi…
- OpenAlex · Published · First archived
Qubit Readout Discrimination through Fuzzy Clustering ↗
Accurate quantum state discrimination is critical for reliable qubit readout in current superconducting quantum processors, as it enables precise measurement outcomes, reduces readout-induced errors, and improves the overall reliability of quantum algorithm execution. Recently, machine learning (ML) techniques have been explored to enhance quantum state discrimination, outperforming traditional methods based on static thresholds. However, these approaches rely on hard-decision schemes that assign binary outcomes without accounting for readout uncertainty, thereby disregarding signal-level vari…
- OpenAlex · Published · First archived
Performance degradation and diagnostic features of a residential split heat pump under multiple simultaneous faults using a physics-based model ↗
Operational faults can significantly degrade the performance of residential air-source heat pumps, yet the combined effects of simultaneous faults remain insufficiently understood. In particular, systematic and reproducible assessments of combined refrigerant-charge and airflow faults across both cooling and heating modes remain limited. This study investigates the impacts of refrigerant charge, indoor airflow, and outdoor airflow faults, applied individually and in combination, on a residential split heat pump operating in cooling and heating modes. A 4-ton R-32 system was modeled in the publ…
- OpenAlex · Published · First archived
Evaluation of free lime content in cement kilns by physics-guided support vector regression using factory energy management system ↗
The cement industry is one of the most carbon-intensive industrial sectors owing to its high energy demand. In clinker production, free lime (F-CaO) is a critical quality indicator that reflects the adequacy of heat supply during high-temperature processing; excessive F-CaO indicates insufficient thermal energy and leads to deterioration of clinker quality and energy efficiency. Accurate prediction of F-CaO is therefore important for effective quality control and energy-efficient plant operation. Previous data-driven studies have selected input variables mainly from statistical correlations, o…
- OpenAlex · Published · First archived
A physics-guided deep learning method for construction-induced settlement prediction during pipe-roof underpassing of an operating high-speed railway ↗
Under ultra-shallow-buried, water-rich soft ground conditions, deformation control is highly sensitive when the pipe-roof method is used to underpass an operating high-speed railway. Excavation disturbance may induce coupled settlement of the tunnel crown, ground surface, and existing track, directly threatening the operational safety of the high-speed railway. To address the limited availability of field monitoring data, the significant spatiotemporal coupling of settlement responses, and the discrepancy between numerical simulations and actual engineering conditions, a physics-guided deep le…
- OpenAlex · Published · First archived
Physics-guided explainable predictive maintenance framework for industrial IoT systems ↗
Machine learning models are increasingly deployed in industrial systems for predictive maintenance, enabling failure detection before breakdowns occur. However, most existing approaches optimise solely for statistical performance and do not explicitly enforce consistency with established physical relationships, which can yield predictions that violate known thermomechanical trends and degrade reliability under varying operating conditions. This paper presents the Physics-Guided Explainable Predictive Maintenance (PG-XPM) framework, a six-module architecture that integrates thermomechanical dom…
- OpenAlex · Published · First archived
Trustworthy and physics-informed artificial intelligence for food processing operations: validation, control relevance, and industrial readiness ↗
ABSTRACT Background Artificial intelligence (AI) applications in food processing are mostly limited to data-driven prediction models, while industry needs AI for trustworthy operational use. Much of the evidence still rests on dataset-level performance, whereas validation quality, physical credibility, uncertainty, interpretability, control relevance, and industrial readiness of AI models are examined less consistently. Scope and approach This critical review uses structured evidence mapping strategy to appraise recent reviews, methodological papers, and direct evidence studies across drying,…
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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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