Efficient multiparty quantum private comparison protocol based on single photons and rotation encryption

A (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1074" altimg="si826.svg"><mml:mi>w</mml:mi></mml:math>, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1079" altimg="si827.svg"><mml:mi>t</mml:mi></mml:math>, <mml:math xmlns:mml="ht

Dual-potential encoded electrochemiluminescence for multiplexed gene assay with one luminophore as tag.

Authenticable dynamic quantum multi-secret sharing based on the Chinese remainder theorem

In light of deep tissue penetration and ultralow background, near-infrared (NIR) persistent luminescence (PersL) bioprobes have become powerful tools for bioapplications. However, the inhomogeneous signal attenuation may significantly limit its application for precise biosensing owing to tissue absorption and scattering. In this work, a PersL lifetime-based nanoplatform via deep learning was proposed for high-fidelity bioimaging and biosensing in vivo. The persistent luminescence imaging network (PLI-Net), which consisted of a 3D-deep convolutional neural network (3D-CNN) and the PersL imaging system, was logically constructed to accurately extract the lifetime feature from the profile of PersL intensity-based decay images. Significantly, the NIR PersL nanomaterials represented by Zn1+xGa2-2xSnxO4: 0.4 % Cr (ZGSO) were precisely adjusted over their lifetime, enabling the PersL lifetime-based imaging with high-contrast signals. Inspired by the adjustable and reliable PersL lifetime imaging of ZGSO NPs, a proof-of-concept PersL nanoplatform was further developed and showed exceptional analytical performance for hypochlorite detection via a luminescence resonance energy transfer process. Remarkably, on the merits of the dependable and anti-interference PersL lifetimes, this PersL lifetime-based nanoprobe provided highly sensitive and accurate imaging of both endogenous and exogenous hypochlorite. This breakthrough opened up a new way for the development of high-fidelity biosensing in complex matrix systems.

Persistent Luminescence Lifetime-Based Near-Infrared Nanoplatform via Deep Learning for High-Fidelity Biosensing of Hypochlorite.

Dynamic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e341" altimg="si356.svg"><mml:mrow><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>,</mml:mo><mml:mi>n</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math> threshold quantum secret sharing based on <mml:math xmlns:mml="h

Capable of precise simultaneous multitarget identifications within a minimized sample, optical multiplexing is vital for accurate diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) while remaining spectral crowding and background interfering. In merits of an autofluorescence-free background and high-capability throughput, a persistent luminescence (PersL) lifetime/color binary encoding strategy was herein proposed for SARS-CoV-2 diagnosis. Based on luminescence resonance energy transfer processes, the intense lifetimes and representative emissions of PersL nanoplatforms were rationally manipulated to create a temporal coding dimension within a wide seconds-to-minutes range through three individual channels. Particularly, at least four populations of barcoding in a certain channel were successfully decoded by a purpose-built time-resolved PersL technology. As a proof-of-concept, functionalized PersL nanoplatforms were further well developed for the simultaneous quantification of five-plex SARS-CoV-2 biomarkers with limits of detection in the subnanomolar range. Remarkably, PersL nanoplatforms enabled a highly differentiable discrimination of multitargets at various concentrations of ultralow background and high-fidelity resolutions, thereby advancing a powerful tool for optical multiplexing in biomedical applications.

Time-Resolved Persistent Luminescence Encoding for Multiplexed Severe Acute Respiratory Syndrome Coronavirus 2 Detection.

A (t, n) Threshold Quantum Secret Sharing Scheme with Fairness

Multiscale asymptotic analysis and algorithm for the quadratic eigenvalue problem in composite materials

Quantum secret sharing plays a crucial role in quantum cryptography. The two main trends in quantum secret sharing are to address the problem of scheme failure due to participant spoofing and to improve the efficiency of quantum secret sharing. This article focuses on the quantum secret sharing scheme with general access structure due to its flexibility. We design a special entangled state by resorting to monotone span program (MSP). Based on the special 2-D entangled state, an efficient and verifiable general quantum secret sharing (GQSS) scheme is proposed. In the GQSS scheme, the authorized participants only provide the $X$ -basis measurement results of particles to recover and verify the shared secret, which makes that our scheme have lower communication consumption and quantum computational complexity. The analysis shows that the proposed scheme is simpler and more practical compared with related quantum secret sharing schemes.

Efficient and Verifiable General Quantum Secret Sharing Based on Special Entangled State

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