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September 21, 2026
Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings
Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.
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A delegation of scientists from Hanoi visited the HSE Faculty of Computer Science and then took part in a Russian-Vietnamese conference in St Petersburg. The events were part of the three-year project ‘Flexibility and Computational Methods.’ Over the course of the project, the researchers have prepared joint publications and obtained new mathematical results.
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When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.

 

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PNR detector tomography using an analytical unequal-channel model and a hybrid reconstruction approach

Laser Physics Letters. 2025. Vol. 22. No. 12. Article 125215.
Avosopiants G. V., Katamadze K. G., Borshchevskaia N. A., Svyatodukh S.S., R.V. Ozhegov, Bogdanov Y. I., Kulik S. P.

Though photon-number-resolving (PNR) detectors based on multiplexed threshold elements are key tools for quantum optics and quantum information, yet accurate calibration of their response in the presence of imperfections remains challenging. Here we develop a model for a four-channel PNR detector designed as a superconducting nanowire single-photon detector (SNSPD) array, allowing for unequal channel transmission coefficients and dark counts. Closed-form expressions for the click probabilities and transfer-matrix elements are obtained for coherent-state probes, and a numerical study quantifies the range of channel imbalance where the commonly used equal-channel, single-parameter approximation fails. Applying this framework to experimental data from a four-channel PNR SNSPD, we show that direct model-based fits do not reproduce the measured click statistics probably because of inter-channel cross-talks. To overcome this, we implement a hybrid quantum detector tomography scheme that combines a model-based fit to the mean click number with a data-driven reconstruction of the low-photon subspace. The resulting transfer matrix reproduces the experimental click statistics with average fidelity above 99.9% and provides a robust description of the detector in the presence of cross-talks and other non-idealities.

Research target: Physics Electronics and Electrical Engineering
Language: English
Full text
DOI
Keywords: transfer matrixquantum detector tomographyphoton-number-resolving detectorspatial multiplexingclick statistics
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