Quantum Fingerprinting Research Articles

A Quantum Fingerprinting Algorithm for Next Generation Cellular Positioning

A Quantum Fingerprinting Algorithm for Next Generation Cellular Positioning

Quantum Secret Reconstruction

AbstractIn addition to secret splitting, secret reconstruction is another important component of secret sharing. In this paper, the first quantum secret reconstruction protocol is proposed to protect the reconstruction process. Before the protocol, a classical secret is divided into multiple shares that are distributed to the shareholds, respectively. In the presented protocol, the dealer utilizes the secret to encrypt a privacy quantum state, and sends the encrypted state to a combiner who is chosen by the dealer within the shareholders. With the help of other shareholders, the combiner utilizes the properties of cluster states to recover the privacy quantum state. It is shown that the proposed protocol is secure against several common attacks, including external and internal attacks. Compared with classical secret reconstruction protocols, this protocol not only achieves information‐theoretic security of all shares, but is also more efficient due to the reduced distribution and computation cost. To demonstrate the feasibility of the protocol, a corresponding simulation quantum experiment is conducted on the IBM Q. Furthermore, in conjunction with quantum fingerprinting, it can be directly applied to achieve the task of quantum multiple secrets sharing, since the classical shares can be reused in the proposed protocol.

Fully Automatized Optimization of Ring-Opening Reactions in Lactone Derivatives via Two-Step Machine Learning.

Cyclization and cycloreversion of organic compounds are fundamental kinetic processes in the design of functional molecules, molecular machines, nanoscale sensors, and switches in the field of molecular and nanoelectronics. We present a fully automatic computational platform for the design of a class of five- and six-membered ring lactones by optimizing the ring-opening reaction rate. Starting from a minimal initial parent set, our algorithm generates iteratively cascades of pools of candidate lactone derivatives where optimization and down-selection are performed without human supervision. We employ the density functional theory combined with the transition state theory to elucidate the exact mechanism leading to the lactone ring-opening reaction. On the basis of the analysis of the reaction pathway and the frontier molecular orbitals, we identify a simple descriptor that can easily correlate with the reaction rate. Consequently, we can omit computationally expensive transition state calculations and deduce the reaction rate from simple ground-state and ionic calculations. To accelerate the platform, we use a data set of the order of 800 molecules to train machine learning models for the prediction of targeted chemical properties, reducing the computational time by a 90% factor. We developed an evolutionary algorithm capable of generating data sets 3 orders of magnitude larger than the initial parent set. Thus, we can explore a large domain of chemical space using minimal computational effort. Our entire platform is modular, and our current implementation for lactone can be further generalized to more complex systems via substitution of the quantum chemical and fingerprinting modules.

Establishing an integrated, four-dimensional quality assessment system for traditional Chinese medicine: A case study of Shuanghuanglian oral liquid

The quality of traditional Chinese medicine (TCM) is the premise to ensure its safety and effectiveness in clinical application. In this study, a complete quality control system for four-dimensional fingerprinting of TCM was innovatively constructed based on multiple detection techniques, and the quality of Shuanghuanglian oral liquid (SHL) was evaluated. Electrochemical fingerprinting (ECFP) as an emerging method without pretreatment provides rich and quantifiable information for SHL samples. The first quantitative ECFP of SHL was developed by the B-Z oscillation system. Eight characteristic parameters were analyzed and a good linear relationship was found between the oscillation lifetime and sample volume, by which the calculated values of the added sample volume (VL) showed different fluctuations between samples. What is more, high-performance liquid chromatography five-wavelength fusion fingerprint (HPLC-FWFP), GC fingerprint (GC-FP), and UV quantum fingerprint (UV-QFP) was established. Meanwhile, the purity of the peaks of the HPLC-FWFP was verified by the dual-wavelength absorption coefficient ratio spectrum (DWAR). Equal weighted ratio quantitative fingerprinting method (EWRQFM) was successfully proposed to extract all potential features for the overall quality assessment of the samples. Finally, a comprehensive evaluation strategy was proposed, namely the variation coefficient weighting algorithm (VCWA). The results of qualitative and quantitative evaluation of HPLC-FWFP, GC-FP, electrochemical quantum fingerprints (EC-QFP), and UV-QFP were integrated by this method. The established evaluation system is also a suitable strategy to control the quality of other TCM preparations.

Thorough evaluation of the Chinese medicine preparations and intermediates using high performance liquid chromatography fingerprints and ultraviolet quantum fingerprints along with antioxidant activity: Shuanghuanglian oral solution as an example

The growing global popularity of traditional Chinese medicine (TCM) has generated a growing interest in the quality control of TCM products. Shuanghuanglian Oral Liquid (SHL) is a commonly used TCM formula for treating respiratory tract infections. In this study, we present a thorough evaluation method for the quality of SHL and its intermediates. We assessed the quality through multi-wavelength fusion high-performance liquid chromatogram (HPLC) fingerprints of 40 batches of SHL samples and 15 batches of intermediates. Meanwhile, we introduced a new method called multi-markers assay by monolinear method (MAML) to quantify ten components in SHL, and revealed quality transmitting of ten components from intermediates to formulations. This information allowed us to establish a quality control system for intermediates, ensuring their quality consistency. Furthermore, we proposed UV quantum fingerprinting as an orthogonal complement to the quality evaluation by HPLC fingerprint. The relationship between fingerprinting and antioxidant capacity was also established. Overall, this study presented a novel and integrated approach for the quality evaluation of TCM products, providing valuable information for ensuring the safety and efficacy of TCM products for consumers.

Toward Secure and Resilient Networks: A Zero-Trust Security Framework with Quantum Fingerprinting for Devices Accessing Network

The importance of network security has increased with the emergence of networked systems in contemporary computing, making it an essential aspect of protecting digital assets and safeguarding against cyber threats. The current security mechanisms, which rely on cryptographic keys, may be susceptible to a number of attacks, such as media access control (MAC) spoofing, which might provide unauthorized users access to network resources. This study introduces a new approach, namely a zero-trust security framework with quantum fingerprinting for devices accessing a network, that utilizes quantum technology to protect networks from security threats and intruders. The proposed architecture relies on quantum fingerprinting to authenticate devices trying to access the network, and it is built on the zero-trust security concept. The framework is intended to offer a thorough, multi-layered approach to network security that may change in response to evolving security risks and specifications. By protecting against MAC spoofing and other types of device impersonation, the adoption of quantum fingerprinting adds another degree of protection. The proposed framework may be used to construct a reliable and scalable network security solution in different network environments.

Quantum fingerprinting for heterogeneous devices localization

In this paper, we present QHFP, a device-independent quantum fingerprint matching algorithm that addresses two of the issues for realizing worldwide ubiquitous large-scale location tracking systems: scalability of storage space and running time as well as devices heterogeneity. In particular, we present a quantum algorithm with a complexity that is exponentially better than the classical techniques, both in space and running time. QHFP also has provisions for handling the inherent localization error due to building the large-scale fingerprint using heterogeneous devices. We give the details of the entire system starting from extracting device-independent features from the raw received signal strength, mapping the classical feature vectors to their quantum counterparts, and showing a quantum cosine similarity algorithm for fingerprint matching.We implement our quantum algorithm and deploy it in a real testbed using the IBM Quantum machine simulator. We also study the effect of the different quantum error sources, such as quantum gates error and quantum measurement error, on the system accuracy. Based on this, we discuss the suitable provisions to mitigate the effect of the quantum error sources on the localization accuracy.Results confirm the ability of QHFP to obtain the correct estimated location with an exponential improvement in space and running time compared to the traditional classical counterparts. In addition, the proposed device-independent features lead to more than 20% better accuracy in median error. This highlights the promise of our algorithm for future ubiquitous large-scale worldwide device-independent fingerprinting localization systems.

Deterministic Construction of QFAs Based on the Quantum Fingerprinting Technique

Deterministic Construction of QFAs Based on the Quantum Fingerprinting Technique

Constructing a “Four in One” fingerprint quality evaluation system of Cistanche Herba

Cistanche Herba, known as “Desert Ginseng”, is widely sought after as a medicine and food homology. Owing to the one-sided quality control of several markers, a comprehensive “Four in One” fingerprint quality evaluation system based on HPLC, UV, FTIR and DSC was developed to ensure safety and improve quality. Except for HPLC quantitative analysis of echinacoside (1.41–60.23 mg/g) and acteoside (0.13–14.71 mg/g), UV and FTIR spectral analyses, 12 characteristic parameters of the DSC curve were first developed. Particularly, HPLC fingerprints with UV, FTIR and DSC quantum fingerprints established by merging point method were integrated to evaluate the sample quality with systematically quantified fingerprint method. 45 samples (Cistanche deserticola: 26 batches, Cistanche tubulosa: 19 batches) were evaluated separately to retain their fingerprint characteristics, whose significant inter batch differences and grade differentiation were manifested. This study can provide a comprehensive, strict and objective evaluation strategy for Cistanche Herba and even other samples.

Evaluating quality consistency of cigarette by 3 kinds of quantum fingerprints

Cigarette has a history of more than 40 years and once sold well all over the country. The purpose of this paper is to evaluate the quality consistency of 30 batches of cigarettes. Differential scanning calorimetry (DSC) curves, Fourier Transform Infrared (FT-IR) spectra and terahertz time-domain spectra of 30 batches of cigarettes were collected. In this paper, a new quality evaluation method was explored, the obtained fingerprints were quantized, the t-test was used to analyze the correlation between the original fingerprint and the quantum fingerprint. The quantized fingerprints were evaluated by the systematically quantitative fingerprint method (SQFM), the macro qualitative similarity and the macro quantitative similarity were used to reflect the internal differences of the samples. Finally, the antioxidant activities of 30 batches of samples were investigated, and the correlation between quantum fingerprints and IC50 values were analyzed by Pearson correlation coefficient (r).The result shows that there was no significant difference between the quantum fingerprint and the original fingerprint; SQFM can effectively calculate the similarity of sample curves and classify samples into different grades; the FT-IR fingerprints had a good correlation with the IC50 value. 30 samples performed a good quality consistency within an acceptable grades range. In addition, quantum fingerprints have broad application prospects in spectral analysis.

Deciphering quantum fingerprints in electric conductance

When the electric conductance of a nano-sized metal is measured at low temperatures, it often exhibits complex but reproducible patterns as a function of external magnetic fields called quantum fingerprints in electric conductance. Such complex patterns are due to quantum–mechanical interference of conduction electrons; when thermal disturbance is feeble and coherence of the electrons extends all over the sample, the quantum interference pattern reflects microscopic structures, such as crystalline defects and the shape of the sample, giving rise to complicated interference. Although the interference pattern carries such microscopic information, it looks so random that it has not been analysed. Here we show that machine learning allows us to decipher quantum fingerprints; fingerprint patterns in magneto-conductance are shown to be transcribed into spatial images of electron wave function intensities (WIs) in a sample by using generative machine learning. The output WIs reveal quantum interference states of conduction electrons, as well as sample shapes. The present result augments the human ability to identify quantum states, and it should allow microscopy of quantum nanostructures in materials by making use of quantum fingerprints.

Simultaneous determination of eight components in Amomum villosum and its overall qualityconsistency evaluation by four-dimensional fingerprints assisted with antioxidant activity

Amomum villosum (AMV), as a 1300-year-old medicine and food homology, has been lack of comprehensive quality evaluation for a long time. This study established the fingerprints of AMV by chromatographic, spectroscopic and thermal technologies and investigated the antioxidant activity to assess holistically the quality of 22 batches of AMV samples. GC-HPLC tandem fingerprints, FTIR and DSC quantum fingerprints were first developed respectively and fused for evaluating qualitatively and quantitatively, in which the contents of eight compounds were determined simultaneously. Especially, the equal-weight method was used to fuse the different analytical techniques mentioned above and to evaluate the quality of AMV samples with the help of systematically quantified fingerprint method. As a result, all samples were well differentiated and classified into five grades. Moreover, the correlation between the chromatographic fingerprint peaks and antioxidant activity was confirmed by the gray relational analysis. In summary, the proper fusion of multidimensional fingerprint techniques and multidimensional analytical techniques provides a reliable and comprehensive method for the evaluation of AMV and their related products.

A trinity fingerprint evaluation system of traditional Chinese medicine

This study focused on developing a set of quality evaluation methods that can reflect the multi-levels and multi-characteristics of traditional Chinese medicine (TCM). Taking licorice (Glycyrrhiza glabra L.) as the method development sample, the feasibility of multi-markers assay by monolinear method (MAML) was explored through the standard curve relationship among active components for the first time. Using glycyrrhizic acid as measurement marker, MAML can simultaneously quantify five components of licorice, including isoliquiritigenin, isoliquiritin apioside, liquiritigenin, liquiritin and liquiritin apioside. Comparing MAML and quantitative analysis of multi-components by single-marker (QAMS) to the external standard method (ESM) respectively, it was found that there was no significant difference in the content of components that were calculated by MAML and ESM (the relative error (RE) was generally less than 2.00%). However, the RE of the component content calculated by QAMS fluctuated greatly, indicating that the MAML was more accurate than QAMS. In addition, UV and THz quantum fingerprints were initiated by the interval erasure method. Taking the systematically quantified fingerprint method as the core, a "Trinity" fingerprint quality evaluation system based on HPLC, UV and THz was developed. The system successfully distinguished the quality differences of licorice samples from 13 producing areas and two ecological models by the comprehensive evaluation results. Simultaneously, the quality information of licorice at different technical levels was revealed. Finally, bivariate correlation analysis was used to examine the linkage between UV/HPLC and antioxidant spectrum efficacy, and the two-dimensional activity spectrum of licorice was provided. It may furnish a more thorough and objective analytical technique for licorice and even other TCMs in chemical fingerprint features, chemical bond vibration characteristics and biological activity information.

Multiple fingerprints and quantitative analysis for comprehensive quality evaluation of Citri reticulatae pericarpium within different storage years

The multi-wavelength fused HPLC fingerprint, and UV and DSC quantum fingerprints were used for quality evaluation of CRP by QRFM.

Evaluating the quality consistency of Keteling capsules by three-dimensional quantum fingerprints and HPLC fingerprint

Keteling capsules (KCs), as a kind of Traditional Chinese Medicine (TCM), have been widely used in curing cough and relieving asthma. However, the complicated compositions make it challenging to evaluate their quality consistency by common methods. Herein, we explored comprehensive and efficient strategies by combining the multiple techniques to monitor and assess the characteristics of KCs. We employed the fingerprints and corresponding quantum fingerprints by fourier transform infrared spectroscopy (FT-IR), ultraviolet (UV), and differential scanning calorimetry (DSC). The antioxidant activity profiles were also studied combined with the result of three-dimensional quantum fingerprints and showed a good correlation with the internal structure and physical-chemical state. Furthermore, the 17 samples were separated and identified simultaneously by HPLC quantitative fingerprint, of which four active ingredients (chlorogenic acid, p-coumaric acid, vitexin and isovitexin) were quantitatively determined. The 17 samples were successfully classified into different grades by the systematically quantified fingerprint method (SQFM) and the quality of the samples was integrated according to the mean algorithm. The mean algorithm fusion of different evaluation techniques was compared to reveal the relationship between them, which indicated the effective improvement in accuracy and integrality. The combination of multiple analytical techniques developed in this study would effectively improve the existing single analytical methods and provide new strategy for drug quality consistency control.

Optimal quantum-programmable projective measurements with coherent states

We consider a device which can be programmed using coherent states of light to approximate a given projective measurement on an input coherent state. We provide and discuss three practical implementations of this programmable projective measurement device with linear optics, involving only balanced beam splitters and single photon threshold detectors. The three schemes optimally approximate any projective measurement onto a program coherent state in a non-destructive fashion. We further extend these to the case where there are no assumptions on the input state. In this setting, we show that our scheme enables an efficient verification of an unbounded untrusted source with only local coherent states, balanced beam splitters, and threshold detectors. Exploiting the link between programmable measurements and generalised swap test, we show as a direct application that our schemes provide an asymptotically quadratic improvement in existing quantum fingerprinting protocol to approximate the Euclidean distance between two unit vectors.

Evaluating the quality consistency of Rong’e Yishen oral liquid by UV + FTIR quantum profilings and HPLC fingerprints combined with 3-dimensional antioxidant profiles

This article lucubrates a comprehensive and practical quality consistency evaluation method for Rong’e Yishen oral liquid (REYS) by spectral quantum fingerprints of ultraviolet (UV) and Fourier Transform Infrared Spectroscopy (FTIR), in which they were together fused with HPLC fingerprints. The similarity analyses of samples were evaluated by systematically quantified fingerprint method from the qualitative and quantitative perspectives, in which the macro qualitative similarity (Sm) and the macro quantitative similarity (Pm) were used to reflect the differences within samples. Surprisingly, there were no significant differences between the UV or FTIR spectral quantum fingerprints and their original spectra (t-test, P-value > 0.05). The correlation of them was satisfactory (Pearson’s r > 0.9220), which indicated that spectral quantum fingerprint had a good application prospect in the quantitative analyses and quality control of REYS. A fused evaluation strategy was developed in equal weights to avoid the unilaterality of a single analytical technique. The fusion results (Sm > 0.98, 91.9% ≤ Pm ≤ 106.6%) showed that 15 batches of samples were divided into grade 1 and grade 2, indicating good quality consistency. Furthermore, 1,1-diphenyl-2-picrylhydrazyl (DPPH) scavenging assay was applied to study the in vitro antioxidant activity of REYS samples using Vitamin C as the positive control, and the fingerprint-efficacy relationships of spectra and HPLC for REYS samples were explored respectively with bivariate correlation analysis to give out the three-dimensional active profiling. This study illustrated that the comprehensive analysis strategy based on spectral quantum profilings and chromatographic fingerprints with antioxidant activity provides an exploratory mode for the quality consistency of TCM or herbal medicine.

Efficient experimental quantum fingerprinting with channel multiplexing and simultaneous detection

Quantum communication complexity explores the minimum amount of communication required to achieve certain tasks using quantum states. One representative example is quantum fingerprinting, in which the minimum amount of communication could be exponentially smaller than the classical fingerprinting. Here, we propose a quantum fingerprinting protocol where coherent states and channel multiplexing are used, with simultaneous detection of signals carried by multiple channels. Compared with an existing coherent quantum fingerprinting protocol, our protocol could consistently reduce communication time and the amount of communication by orders of magnitude by increasing the number of channels. Our proposed protocol can even beat the classical limit without using superconducting-nanowire single photon detectors. We also report a proof-of-concept experimental demonstration with six wavelength channels to validate the advantage of our protocol in the amount of communication. The experimental results clearly prove that our protocol not only surpasses the best-known classical protocol, but also remarkably outperforms the existing coherent quantum fingerprinting protocol.

General theory of quantum fingerprinting network

The purpose of fingerprinting is to compare long messages with low communication complexity. Compared with its classical version, the quantum fingerprinting can realize exponential reduction in communication complexity. Recently, the multi-party quantum fingerprinting is studied on whether the messages from many parties are the same. However, sometimes it is not enough just to know whether these messages are the same, we usually need to know the relationship among them. We provide a general model of quantum fingerprinting network, defining the relationship function $f^R$ and giving the corresponding decision rules. In this work, we take the four-party quantum fingerprinting protocol as an example for detailed analysis. We also choose the optimal parameters to minimize communication complexity in the case of asymmetric channels. Furthermore, we compare the multi-party quantum fingerprinting with the protocol based on the two-party quantum fingerprinting and find that the multi-party protocol has obvious advantages, especially in terms of communication time. Finally, the method of encoding more than one bit on each coherent state is used to further improve the performance of the protocol.

Quantum reactive scattering calculations for the cold and ultracold Li + LiNa → Li2 + Na reaction.

A first-principles based quantum dynamics study of the Li + LiNa(v = 0, j = 0) → Li2(v', j') + Na reaction is reported for collision energies spanning the ultracold (1 nK) to cold (1 K) regimes. A full-dimensional ab initio potential energy surface for the ground electronic state of Li2Na is utilized that includes an accurate treatment of the long-range interactions. The Li + LiNa reaction is barrierless and exoergic and exhibits a deep attractive potential well that supports complex formation. Thus, significant reactivity occurs even for collision temperatures approaching absolute zero. The reactive scattering calculations are based on a numerically exact time-independent quantum dynamics methodology in hyperspherical coordinates. Total and rotationally resolved rate coefficients are reported at 56 collision energies and include all contributing partial waves. Several shape resonances are observed in many of the rotationally resolved rate coefficients and a small resonance feature is also reported in the total rate coefficient near 50 mK. Of particular interest, the angular distributions or differential cross sections are reported as a function of both the collision energy and scattering angle. Unique quantum fingerprints (bumps, channels, and ripples) are observed in the angular distributions for each product rotational state due to quantum interference and shape resonance contributions. The Li + LiNa reaction is under active experimental investigation so that these intriguing features could be verified experimentally when sufficient product state resolution becomes feasible for collision energies below 1 K.