Probing multipartite entanglement, coherence and quantum information preservation under classical Ornstein-Uhlenbeck noise

We address entanglement, coherence, and information protection in a system of four non-interacting qubits coupled with different classical environments, namely: common, bipartite, tripartite, and independent environments described by Ornstein-Uhlenbeck (ORU) noise. We show that quantum information preserved by the four qubit state is more dependent on the coherence than the entanglement using time-dependent entanglement witness, purity, and Shannon entropy. We find these two quantum phenomena directly interrelated and highly vulnerable in environments with ORU noise, resulting in the pure exponential decay of a considerable amount. The current Markovian dynamical map, as well as suppression of the fluctuating character of the environments, are observed to be entirely attributable to the Gaussian nature of the noise. The increasing number of environments are witnessed to speed up the amount of decay. Unlike other noises, the current noise parameter's flexible range is readily exploitable, ensuring long enough preserved memory properties. The four-qubit GHZ state, besides having a large information storage potential, stands partially entangled and coherent in common environments for an indefinite duration. In addition, we derive computational values for each system-environment interaction, which will help quantum practitioners to optimize the related classical environments.

Blockchain-Based Healthcare Information Preservation Using Extended Chaotic Maps for HIPAA Privacy/Security Regulations

A healthcare information system allows patients and other users to remotely login to medical services to access health data through the Internet. To protect the privacy of patients and security over the public network, secure communication is required. Therefore, the security of data in transmission has been attracting increasing attention. In recent years, blockchain technology has also attracted more attention. Relevant research has been published at a high rate. Most methods of satisfying relevant security-related regulations use modular and exponential calculation. This study proposes a medical care information preservation mechanism that considers the entire process of data storage in devices from wearable devices to mobile devices to medical center servers. The entire process is protected and complies with HIPAA privacy and security regulations. The proposed scheme uses extended chaotic map technology to develop ID-based key negotiation for wearable devices, and thereby reduces the amount of computing that must be carried out by wearable devices and achieve lightness quantify. It also uses the non-tamperability of the blockchain to ensure that the data have not been tampered with, improving data security. The proposed mechanism can resist a variety of attacks and is computationally lighter than the elliptic curve point multiplication that has been used elsewhere, while retaining its security characteristics.

Expansion of Information in the Binary Autoencoder with Random Binary Weights

This letter studies the expansion and preservation of information in a binary autoencoder where the hidden layer is larger than the input. Such expansion is widespread in biological neural networks, as in the olfactory system of a fruit fly or the projection of thalamic inputs to the neocortex. We analyze the threshold model, the kWTA model, and the binary matching pursuit model to find how the sparsity and the dimension of the encoding influence the input reconstruction, similarity preservation, and mutual information across layers. It is shown that the sparser activation of the hidden layer is preferable for preserving information between the input and the output layers. All three models show optimal similarity preservation at dense, not sparse, hidden layer activation. Furthermore, with a large enough hidden layer, it is possible to get zero reconstruction error for any input just by varying the thresholds of neurons. However, we show that the preference for sparsity is due to the noise in the weight matrix between layers. A fixed number of nonzero connections to every neuron achieves better information preservation and input reconstruction for the dense hidden layer activation. The theoretical results give useful insight into models of neural computation based on sparse binary representation and association memory.

Global trends in library web-archives

The need for studying and promoting web-archiving for longterm information preservation and accessibility in future is substantiated. The existing technologies of web-archiving are specified and the problems related to the web dynamic character, errors, content complexity, are revealed. Successful experience in the world libraries’ web-archiving is discussed (selection, search, description technologies, access terms, etc.). The study findings demonstrate that web-archives are selected to supplement the libraries’ digital collections on hot topics, like COVID-19, or to meet the demands of specific user groups. For the purpose of cultural heritage preservation, the national libraries often focus of acquiring web-sites by the domains in the corresponding country. The university libraries focus on acquiring web-archives that meet research and educational demands of their users; and public libraries prefer the resources of interest to their local community. The findings may be used by world libraries for developing their digital collections.

Reference rot degrades information preservation and induces the loss of intellectual integrity

The age of open access has ushered in a greater desire to cross-cite information from a multitude of sources, some of which may have a determined fate and life cycle. Information insecurity caused by the loss or transposition of information also negatively impacts information integrity by reducing its use and usefulness. Reference rot refers to the phenomenon in which the link to a web resource or journal article URL no longer function, revealing instead a “404 not found” error message. Reference rot can reduce the reliability and usefulness of a manuscript because access to information supporting claims and/or positions within a paper ceases to exist. Academic papers carry a complex mixture of information that is derived from a multitude of sources. Collectively, they ensure a paper’s health and functionality, aspects that fade as access to supporting information becomes truncated, i.e., reference rot, ultimately reducing the usefulness of the academic paper, and making it, and its claims, unreliable. Although it is a cumbersome task, as the curators of academic and scientific information, extant journals and their editors should revisit URLs in the reference lists regularly to update any broken links or URLs, and correct reference lists accordingly. This laborious task should involve close coordination between editors and authors to ensure, as best as possible, the sustained integrity of citations and thus the information backbone of a manuscript. An academic paper with a strong, or fortified, citation base, has greater information integrity, reliability and use for science and society.

Masking interferes with haptic texture perception from sequential exploratory movements

Haptic texture perception is based on sensory information sequentially gathered during several lateral movements (“strokes”). In this process, sensory information of earlier strokes must be preserved in a memory system. We investigated whether this system may be a haptic sensory memory. In the first experiment, participants performed three strokes across each of two textures in a frequency discrimination task. Between the strokes over the first texture, participants explored an intermediate area, which presented either a mask (high-energy tactile pattern) or minimal stimulation (low-energy smooth surface). Perceptual precision was significantly lower with the mask compared with a three-strokes control condition without an intermediate area, approaching performance in a one-stroke-control condition. In contrast, precision in the minimal stimulation condition was significantly better than in the one-stroke control condition and similar to the three-strokes control condition. In a second experiment, we varied the number of strokes across the first stimulus (one, three, five, or seven strokes) and either presented no masking or repeated masking after each stroke. Again, masking between the strokes decreased perceptual precision relative to the control conditions without masking. Precision effects of masking over different numbers of strokes were fit by a proven model on haptic serial integration (Lezkan & Drewing, Attention, Perception, & Psychophysics 80(1): 177–192, 2018b) that modeled masking by repeated disturbances in the ongoing integration. Taken together, results suggest that masking impedes the processes of haptic information preservation and integration. We conclude that a haptic sensory memory, which is comparable to iconic memory in vision, is used for integrating sequentially gathered sensory information.

Maximizing Image Information Using Multi-Chimera Transform Applied on Face Biometric Modality

With the development of mobile technology, the usage of media data has increased dramatically. Therefore, data reduction represents a research field to maintain valuable information. In this paper, a new scheme called Multi Chimera Transform (MCT) based on data reduction with high information preservation, which aims to improve the reconstructed data by producing three parameters from each 16×16 block of data, is proposed. MCT is a 2D transform that depends on constructing a codebook of 256 picked blocks from some selected images which have a low similarity. The proposed transformation was applied on solid and soft biometric modalities of AR database, giving high information preservation with small resulted file size. The proposed method produced outstanding performance compared with KLT and WT in terms of SSIM and PSNR. The highest SSIM was 0.87 for the proposed scheme MCT of the full image of AR database, while the existed method KLT and WT had 0.81 and 0.68, respectively. In addition, the highest PSNR was 27.23 dB for the proposed scheme on warp facial image of AR database, while the existed methods KLT and WT had 24.70 dB and 21.79 dB, respectively.