Reviewerly/exHarmony huggingface dataset:
TAG: An Efficient Storage System Towards Transactional and Analytical Processing on Property Graphs

The property graph, as the most widely adopted graph data model, is utilized extensively in various graph systems. However, these systems encounter challenges with regards to high latency, particularly when it comes to graph analysis workloads. Conversely, graph analysis systems are geared towards simple graphs and have limited transactional workload support. There is a growing demand for a graph storage system that can efficiently handle both workloads on the property graph. In this paper, we propose TAG, a graph storage system that surpasses the performance of transactional graph systems and achieves comparable results to that of graph analysis systems. We introduce a novel hybrid architecture for graph storage, incorporating in-memory indexes to enhance graph topology queries and label-based pages to optimize access to the properties. Through experimental evaluations, we demonstrate the superiority of TAG over state-of-the-art graph databases.
Automatic Recognition for LPI Radar Waveform Using Sequence-based Deep Learning Model

Automatic recognition of low probability of intercept (LPI) radar waveforms is an essential technology in contemporary electromagnetic warfare systems. In recent years, sequence-based deep learning (DL) models have been proposed for the recognition of LPI radar waveforms, which can effectively recognize radar waveforms in rapidly changing environments. In this paper, we propose a sequence-based DL model for recognizing 12 different kinds of LPI radar waveforms. The proposed model is based on a residual network (ResNet), which can extract rich features through its deep structure. For inputs of the model, the discrete Fourier transform (DFT) and autocorrelation function (ACF) of the radar waveform are considered. Simulation results show that the proposed model outperforms existing sequence-based DL models. It is also shown that utilizing the DFT as the model's input provides an advantage over utilizing ACF in terms of recognition performance.
Possible dialogues between power, mathematics and cryptography

In this text we discuss how power, mathematics and cryptography establish dialogues that are considered critical for the present, but which have influence from the past and concerns for the future. We contextualize our reflections from a historical perspective, especially in the Brazilian context, and advance the debates about how cryptography, based on mathematical theories, influenced and dynamized wars. Going a little beyond this historical context, we present some reflections concerning the role of cryptography as a means of data security, one of the main discussions in contemporary society. In this reflection, we point out the position of power that the holders of this knowledge occupy, and that, in the scope of basic school, lacks important discussions for both teachers and students.
Revolutionizing library access: exploring the potential of virtual positioning systems

Purpose This study aims to explore the potential of virtual positioning systems (VPSs) in revolutionising library access. It examines the benefits and challenges associated with implementing VPSs. Design/methodology/approach The study takes a comprehensive approach by analysing library users’ current challenges in accessing physical resources and services within traditional library settings. It analyses the benefits of VPSs in enhancing library access, considering factors such as improved navigation, accessibility for personalised recommendations, virtual tours and interactive experiences. The study also examines the implications of implementing VPSs regarding library resource management, staff training and infrastructure requirements. Findings The findings reveal that VPS has the potential to address various challenges faced by library users, such as limited availability of resources, inconvenient locations and inadequate access for individuals with special needs. VPS offers improved navigation, enhanced accessibility, personalised recommendations, virtual tours and interactive experiences. Implementing VPSs requires robust technological infrastructure, user adoption, privacy considerations and system maintenance. Libraries must invest in hardware, network infrastructure, staff training and data protection measures. Originality/value This study contributes to the ongoing discourse surrounding the transformation of libraries and the assimilation of emergent technologies. It highlights the potential of VPSs in revolutionising library access. By embracing the latent potential of VPSs, libraries can transcend physical boundaries, enhance user experiences and ensure seamless access to a wealth of resources in a digitised world.
On the role of optical materials in the realization of schemes for secure quantum communication

We introduce a prescription using optical materials to perform a quantum sealed-bid auction using an n-partite cluster state, produced using an optical parametric oscillator (OPO) through the process of spontaneous parametric down-conversion (SPDC) and an array of Beam splitters whose properties define the amount of correlation in the corresponding state. We further establish the role of optical materials in performing quantum communication protocols and analyse the effect of noise on the state.
Calibration of photoelastic materials with the disc under diametral compression

Abstract The disc under diametral compression is one of the preferred specimens for the calibration of photoelastic materials. Current calibration methods have some limitations from a metrological point of view, because they do not provide measurement uncertainties and they assume that observations are independent and with the same accuracy. In this work, a new calibration method is proposed to avoid the above-mentioned metrological limitations: The generalized least squares by Lagrange multipliers method. This methodology accepts correlated input quantities or with different accuracy through the input covariance matrix, and it provides, through a least-squares adjustment, the estimates of the quantities to be measured and their associated standard uncertainties. The application of the method shows coherent results and it also provides a chi-square value that can be used to test the consistency of the measurement model, and the normalized deviations between the input estimates and their fitted values, which are a tool to identify potential outliers. Results reveal a great influence of the radius of the specimen on the uncertainty of the stress-optic coefficient measurement, which casts serious doubt on previous affirmations about the disc in compression is preferable over other specimens.
Radical Strategy Concerning Treating Our Encountered World View

'Total nonuniversality’ means the nonuniversal nature of sensible content and the institute of conceptuality, taken together. It can bravely be stated that this is the message most difficult for humans. The message of total nonuniversity is opposed to our basic attitude. There is a need for a ’place’, to which the main elements of our encountered world view can be attached. I call this place the original environment. The original environment may be described as ’large space, short time’. One of my main goals is to establish that notion.
Leave Beacons in Code

Leave beacons in your code. I would have avoided a silly error if a variable named xgb_train_data would have been named, for example, xgb_train_data_filepath instead. When you can’t leave globally unique, persistent, resolvable identifiers (GUPRIs), mind your beacons. References: F. Hermans, The Programmer’s brain: what every programmer needs to know about cognition, pp28-30. Shelter Island, NY: Manning, 2021. M. Crosby, J. Scholtz, and S. Wiedenbeck, “The roles beacons play in...
Hitting the High Points Will Not Do. On the Development of Generation Four Federal State Educational Standards of Higher Education

Purpose. To analyze the problem of reforming the structure of Russian higher education and the development in this regard the FSES of the fourth generation. Methodology: in the process of writing the following methods were used: analysis, synthesis, system approach, formal-legal. Conclusions. Reforming the system of Russian higher education requires not hasty, tumultuous actions, leading to another destructive dismantling of the existing system, which has a negative impact on the quality of education. Obviously, a preliminary experimental testing of different variants of its step-by-step improvement is necessary, the results of which are subject to an in-depth analysis. It is important to discuss the reform of the national education system not behind the scenes, but as part of a broad public discussion. Scientific and practical significance. The conducted study allows us to draw attention to the problem of Russian higher education reform and the search for a truly sovereign, nationally-oriented education system model.
On the Establishment of a Nationally-Oriented, Sovereign System of Higher Education in the Russian Federation

Purpose: to analyze in a discussion form the current trends of the modern transformation of the higher education system of the Russian Federation. Methodology: in the process of writing the article, the following methods were used: analysis, synthesis,systematic approach, formal legal. Conclusions: the education system as a whole and the higher education system, including the most important strategic potential of our state. In modern conditions, we need a national system of vocational education that is focused not on the client, not on the qualified consumer, but on national interests and goals, which is able to provide all spheres of functioning of society and the state with personnel ready to give a worthy response to these challenges and threats. Scientific and practical significance: the conducted research makes it possible to draw attention to the conceptual foundations of the formation of the sovereign system of domestic higher education, including the current trends in the transformation of its regulatory legal regulation, as well as to critically assess some trends in modern educational policy.
A Method to Rank Criminal Charges by Statutory Exposure

A fundamental tenet of our criminal legal system is “proportionality”, the principle that more severe crimes are punished to a greater degree than less severe crimes. Despite this commitment to proportionality, determining how criminal penalties relate to one another is often difficult or impractical. In this paper, we describe a method for ranking criminal charges based upon statutory exposure to various punishments in their respective criminal statutes. We also provide advice for how jurisdictions can use statutory exposure rankings to investigate and resolve common issues.
RELATIONAL BIBLIOMETRIC ANALYSIS BETWEEN EMPLOYEE ENGAGEMENT AND ORGANIZATIONAL PERFORMANCE

Employee engagement is a key factor for improving organizational performance. It would be interesting to observe the relational bibliometric in the pre- and post-Covid era. However, there is no consensus on the definition and measurement of employee engagement, and further the relationship between employee engagement and organizational performance lacks comprehension. This article aims to review the existing literature on employee engagement and organizational performance, to conduct a comparative study of different measures and models of employee engagement, and to provide some practical implications and recommendations for managers. We also critically analyze some of the existing studies on employee engagement and organizational performance, focusing on the validity, reliability and significance of their findings. We conclude by discussing some of the challenges and limitations of employee engagement research and practice, as well as some of the future directions for employee engagement studies.
Subspace Learning for Multi-aspect Data

A subspace learning technique has garnered significant attention for clustering multi-aspect data due to its ability to learn low-dimensional representations that capture the underlying subspaces in the original space. This approach operates under the assumption that data points can be sampled from multiple subspaces and aims to identify these latent subspaces as potential structures for clustering. Given the sparsity and high dimensionality of multi-aspect data, subspace learning techniques that involve dimensionality reduction have proven to be effective. This chapter introduces the fundamentals of subspace learning and explores various techniques employed in the clustering of multi-aspect data. The chapter establishes the relationship between subspace clustering and other existing dimensionality reduction methods, serving as motivation for adopting the subspace learning approach. Furthermore, it comprehensively investigates different types of constraints and popular approaches utilized in subspace clustering for multi-aspect data. Overall, this chapter provides a comprehensive overview of subspace learning techniques and their application in the clustering of multi-aspect data, offering insights into the motivations, constraints, and approaches associated with this approach.
Artificial-Intelligence Empowered Universal Metrology Optical Camera

We introduce a metrology platform that employs artificial intelligence in hardware through optical metasurfaces. We experimentally demonstrate the measurement of thin film thickness and refractive index maps with nanometer accuracy using this platform.
All-optical phase recovery: Quantitative phase imaging using diffractive optical networks

We demonstrate diffractive networks that perform all-optical phase recovery and synthesize the quantitative phase images of input objects by converting the input phase information into quantitative intensity variations at their output.
Self-Cleaning Effect in Synthetic-Space Photonic Topological Insulators

We present a topological structure performing a self-cleaning effect in synthetic space, controlled by a homogeneous gain medium in real space, producing a ground-state in both synthetic space and real space.
A Self-Similar Sine-Cosine Fractal Architecture for Multiport Interferometers

We propose a novel architecture for multiport interferometers based on the Sine-Cosine fractal decomposition of unitary matrices. Our design is modular, resilient to hardware imperfections and enables systematically truncated for use in optical neural networks.
Energy-time entangled and Einstein-Podolsky-Rosen steerable large-alphabet quantum key distribution

We experimentally demonstrated the violation of energy-time entanglement and Einstein-Podolsky-Rosen steering inequality, toward high-dimensional quantum key distribution with secure photon information efficiency of 3.68 bits/coincidences, and secure key rate of 1.77 Mbits/s.
Multispectral imaging using a diffractive network

We present and experimentally demonstrate diffractive network-based snapshot multispectral imaging, and perform coherent imaging over a broad spectrum while simultaneously routing distinct spectral bands onto unique sets of pixels to form virtual filter arrays.
Inverse Design of a Terahertz Quantum Algorithm Emulator

A metastructure-based on a graded-index lens is presented for the terahertz regime as an emulator for quantum algorithms. Further optimization is presented by applying machine learning in an inverse design strategy.
Tripartite Frequency-bin-encoded W States on a Chip

We introduce an integrated source of genuine tripartite frequency-bin-encoded W states with a predicted generation rate of ∼ 10 kHz for milliwatt pump powers. We discuss the advantages of this approach compared to others.
How to Build a Useful Quantum Computer using Light in a Scalable Photonic Platform

The development of a practical quantum computer requires quantum error correction on a large scale. PsiQuantum aims to achieve this by using photons, on a silicon photonic platform. In this invited talk, I will outline the architecture of PsiQuantum’s quantum machine and discuss the progress we have made and the challenges we have encountered in recent years.
A Programmable Single-Qubit Quantum Gate

We present a design for an integrated single-qubit quantum gate based on the third order nonlinear process of difference frequency generation. A theoretical model is presented for the transformation of the qubit with device-external parameters.
High-secure and Wide-range Access Networks Based on Asymmetric Sending-or-not-sending Quantum Key Distribution over Multicore Fiber

We design a high-secure and wide-range access network combining asymmetric sending-or-not-sending quantum key distribution over multicore fiber. Channel allocation schemes are proposed to balance overall performance and fairness among optical network units.
Spectral Properties and Photon-Number Distribution of Highly-Nondegenerate Entangled Photons

We obtain specific spectral properties of highly-nondegenerate entangled photons measured by photon-number-resolving detectors under different focusing schemes, and observe the distribution changing from Poissonian to thermal as wavelength leaving away from their peak.
Two-photon absorption of squeezed light by rubidium atoms: Will Doppler do us in?

We calculate the two-photon absorption of squeezed light by rubidium atoms. In the region of large enhancement, Doppler broadening significantly decreases the effectiveness of photon correlations, leading to the prediction of unspectacular fluorescence counts.
Rapid and robust quantum logic gates using inertial STIRAP

We present an inertial protocol for STIRAP-based single- and two-qubit quantum logic gates. Our protocol achieves an order-of-magnitude lower infidelity compared to existing protocols. A similar approach can be used to improve any adiabatic protocol.
Witnessing Entangled Two-Photon Absorption via Quantum Interferometry

We demonstrate that a two-photon, N00N-state interferometer is insensitive to linear (single-photon) losses, and thus capable to unequivocally certify entangled two-photon absorption (eTPA) in arbitrary-sample transmission-based absorption measurements.
Generalized Conditional Displacement

We present a generalization of the conditional displacement operator, conditioned on a qudit ancilla, and discuss possible implementations. This generalization provides a building block for quantum computation with grid states, allowing efficient error correction protocols.
Temporal trapping: an all-optical route to strong coupling and quantum information processing

We propose a novel confinement method of photons, temporal trapping, to circumvent the tradeoff between optical confinement and loss in nonlinear photonics, showing a potential route to all-optical strong coupling and deterministic optical quantum computation.
Experimental High-dimensional One-way Quantum Computation on a Very-large-scale Photonic Chip

We report a very-large-scale silicon photonic quantum chip, on which we prepare various four-level four-qudit graph states and use them to demonstrate high-dimensional one-way quantum computation and measurement-based quantum algorithm.
Non-local quantum metrology with entangled photons and geometric phase

We demonstrate a new protocol of non-local quantum metrology in which the sample displacement is measured with entangled photon pairs by manipulating the geometric phase of the photon that has never interacted with the sample.
Two-photon emission and correlations from a superlattice-based superconducting light-emitting diode

We demonstrate evidence of two-photon emission and photon pair correlations, resulting from injected Cooper-pairs in superconductor-semiconductor structures. Such structures can be utilized for multiple applications including enhanced two-photon gain, electrically-driven entangled-photon generation and Bell-state analyzers.
Quantum nondemolition measurements with optical parametric amplifiers for ultrafast quantum information processing

We show that quantum nondemolition measurements using an optical parametric amplifier can be a universal tool for ultrafast quantum information processing, enabling, photon-number-resolving measurements and deterministic generation of Gottesman-Kitaev-Preskill (GKP) states.
Non-Gaussian Quantum State Engineering with Squared-Quadrature Quantum Nondemolition Measurements

We present a method for generating squeezed Schr¨odinger cat states and cubic phase states via quantum nondemolition measurement of the squared-quadrature operator, offering a realistic route to fault-tolerant universal continuous-variable quantum computation.
Waveguide-Integrated Superconducting Nanowire Arrays for Single Photon Detection with Number-Resolution

We fabricated and characterized waveguide-integrated photon number resolving superconducting nanowire single photon detectors with up to 16 detector elements obtaining a high timing resolution of 10.4 ps.
Data class-specific imaging using diffractive computing

We present a privacy-preserving camera design that performs class-specific imaging of input objects only from the desired data class(es) while all-optically and instantaneously erasing the objects from the other data classes.
Hybrid Electro-Optic Crossbar Array for Matrix-Vector Multiplications

Photonic processors exploiting in-memory computing and wavelength multiplexing excel in calculating matrix-vector multiplications but are limited to small vector dimensions. We present a hybrid electro-optic crossbar array design which virtually increases the processable vector size.
Nonlinear Optoelectronic Filter-Array for Intelligent Glare Reduction

We integrate two-dimensional transparent photodetectors with liquid crystal modulators to form a nonlinear filter-array, allowing self-amplitude-modulation of light at low-intensity levels (&lt;100 mW/cm 2 ). We fabricated 10,000 devices over 1 cm 2 to demonstrate glare reduction.
All-optical Interconnects: Diffractive Permutation Networks

We present diffractive optical networks trained using deep learning to realize an arbitrary permutation operation with hundreds of thousands of connections. Addressing practical design challenges, we experimentally demonstrate a 625-interconnection system at terahertz spectrum.
Password Scheme: Amalgamation of Characters with Picture

Since the inception of computer system security has been an issue. To secure the computerized system password verification is prime objective. Traditional system of character-based password is vulnerable to various attacks. For more secure authentication, picture is used as password. Instead of using character or picture as password, an amalgamation of both picture and character is more secure authentication system. The image is divided into the user specified number of rows and columns. Considering the number of rows is m and number of columns is n, then the selected image is of $$m\times n$$ grids. The character set is also divided into $$m\times n$$ matrix. User selects at least 8 grids from portioned image which produces a sequence of ( $$a_m$$ , $$~a_n$$ ). Each value of ( $$a_m$$ , $$a_n$$ ) maps to the value of ( $$a_i$$ , $$a_j$$ ) of character matrix which forms a sequence of characters. This set of characters formed the password. This paper explores the combination of character and picture as a potential solution to overcome the different kinds of attack. This work also achieves better secure authentication system.