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Year I · No. 93
— Natura non facit saltus —
Friday, 21 Aug 2026

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· Quantum Physics · 21 · 08 · 2026

Sample-efficient quantum error mitigation via classical learning

A new study has demonstrated a technique for mitigating errors in quantum computers using classical learning surrogates. This method, published in Nature, addresses one of the biggest challenges in quantum computing: the fragility of qubits and their susceptibility to decoherence and other errors. Error mitigation is crucial for extracting reliable results from current quantum processors, which have not yet achieved full fault tolerance.

§ Today’s briefing

5 dispatches · 21 · 08 · 2026
· Quantum Physics

Human Visual Acuity from Space: Gemini Experiments

Early NASA astronauts conducted visual acuity experiments during the Gemini missions to determine the human eye's ability to distinguish objects from Earth orbit.… more →

NASACol. 2

NASA Data Improves River Forecasts in Washington

NASA Earth science data is being used to feed machine-learning-based forecast models. These models are crucial for decision-making related to water supply, power generation, and public safety in Washington state. The integration of this spatial data allows for a more precise assessment of water resources, especially in the context of persistent snow drought.

The information provided by NASA includes measurements of snowpack, soil moisture, and surface temperature, obtained through satellites and other Earth observation instruments. This data is incorporated into machine learning algorithms that can predict river flow and water availability with greater reliability than traditional methods. This advancement is particularly relevant for regions that heavily rely on snowmelt for their water reserves.

NASA Earth science data is being used to feed machine-learning-based forecast models.
§ Technical sheet
Source
NASA
Category
Applied Physics
Edition
93
Date
2026-08-21
Reading
1 min
Origin
Source ↗

§ arXiv briefing

— ex praeprintis hodiernis —
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    Triangular and Stripe Supersolid Phases Observed in Dipolar Quantum Gas

  2. 2608.20329 · cuantica

    Dihadron Fragmentation in Quarkonium Pair Production

  3. 2608.20244 · cuantica

    DVCS Amplitudes Extracted from Nucleons Using Machine Learning

  4. 2608.20324 · teoria

    Correspondence between Hydrodynamic Frames and Transport Coefficients in Relativistic Fluids

  5. 2608.20196 · cuantica

    Negative Diffusion Identified as Cause of Instabilities in Quark-Diquark Model

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