PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection by Mehdi Khalil, Chi Zhang, Zhiwei Ye, Peng Zhang

“…The PegasosQSVM algorithm encounters, however, some implementation issues on real world Quantum Processing Units(QPU). Noisy Intermediate-Scale Quantum era QPU are prone to noise effects that affect the computations negatively, and by extension, the results of quantum machine learning algorithms. …”
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Quantum theory-inspired inter-sentence semantic interaction model for textual adversarial defense by Jiacheng Huang, Long Chen, Xiaoyin Yi, Ning Yu

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Molecular Structure and Electronic Properties of Porphyrin-Thiophene-Perylene Using Quantum Chemical Calculation by Tatiya Chokbunpiam, Patchanita Thamyongkit, Oraphan Saengsawang, Supot Hannongbua

“…The structural and electronic properties of the molecules, and the effects of mono- and di-substituents R on C3 and R′ on C4 of the thiophene ring were investigated using a quantum calculation approach. The results from the method validation revealed that using the density functional theory approach at B3LYP/6–31G(d) data set was the optimal one, considering the accuracy attained and maintaining the computer time required within tractable limits. …”
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Quantum Two-Way Protocol Beyond Superdense Coding: Joint Transfer of Data and Entanglement by Kristian S. Jensen, Lorenzo Valentini, Rene B. Christensen, Marco Chiani, Petar Popovski

“…Even when decoherence is taken into consideration, the quantum protocol performs better as long as the decoherence time is not extremely short. …”
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Hessian QM9: A quantum chemistry database of molecular Hessians in implicit solvents by Nicholas J. Williams, Lara Kabalan, Ljiljana Stojanovic, Viktor Zólyomi, Edward O. Pyzer-Knapp

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FPGA multi-unit parallel optimization and implementation of post-quantum cryptography CRYSTALS-Kyber by Bin LI, Xiaojie CHEN, Feng FENG, Qinglei ZHOU

“…In lattice-based post-quantum cryptography, polynomial multiplication is complicated and time-consuming.In order to improve the computational efficiency of lattice cryptography in practical applications, an FPGA multi-unit parallel optimization and implementation of post-quantum cryptography CRYSTALS-Kyber was proposed.Firstly, the flow of Kyber algorithm was described and the execution of NTT, INTT and CWM were analyzed.Secondly, the overall structure of FPGA was given, the butterfly arithmetic unit was designed by pipeline technology, and the Barrett modulus reduction and CWM scheduling optimization were used to improve the calculation efficiency.At the same time, 32 butterfly arithmetic units were executed in parallel, which shortens the overall calculation cycle.Finally, the multi-RAM channel was optimized to improve the memory access efficiency with alternate data access control and RAM resource reuse.In addition, with the loosely coupled architecture, the overall operation scheduling was realized by DMA communication.The experimental results and analysis show that the proposed scheme implemented can complete NTT, INTT and CWM operations within 44, 49, and 163 clock cycles, which is superior to other schemes and has high energy efficiency ratio.…”
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A Compact, Portable Device for Microscopic Magnetic Imaging Based on Diamond Quantum Sensors by Alex Shaji, Kevin J. Rietwyk, Islay O. Robertson, Philipp Reineck, David A. Broadway, Jean‐Philippe Tetienne

“…Abstract Magnetic imaging based on ensembles of diamond nitrogen‐vacancy quantum sensors has emerged as a useful technique for the spatial characterization of magnetic materials and current distributions. …”
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Forecasting long-time dynamics in quantum many-body systems by dynamic mode decomposition by Ryui Kaneko, Masatoshi Imada, Yoshiyuki Kabashima, Tomi Ohtsuki

“…Reliable numerical computation of quantum dynamics is a fundamental challenge when the long-ranged quantum entanglement plays essential roles as in the cases governed by quantum criticality in strongly correlated systems. …”
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Dynamical quantum maps for single-qubit gates under universal non-Markovian noise by J. M. Sánchez Velázquez, A. Steiner, R. Freund, M. Guevara-Bertsch, Ch. D. Marciniak, T. Monz, A. Bermudez

“…We gauge our predictions for experimentally relevant metrics against established characterization techniques run on a trapped-ion quantum computer. In particular, we find that experimental estimates of average gate errors measured through randomized benchmarking and reconstructed via quantum process tomography are tightly lower-bounded by our analytical estimates, while the depolarizing model overestimates the gate error. …”
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Optimized coverage algorithm of wireless video sensor network based on quantum genetic algorithm by Fu-you FAN, Guo-wu YANG, Qian-qi LE, Feng-mao LV, Chao ZHAO

“…According to the construction needs of the smart city wireless video sensor network,an optimized network coverage algorithm based on quantum genetic algorithm is proposed.The algorithm fits in with complicated monitoring scene which has some different obstacles and different degree of importance.The monitoring region is depicted by two-dimensional discrete grid model,and the discrete grid model is represented by a code description matrix.The directional wireless video sensor is described by a seven-tuples.The mathematical programming model of the coverage problem is obtained by strict mathematical derivation.The optimized coverage algorithm is comprised by IntialDeployment and OptimizedDeployment algorithms,which takes the maximum coverage rate network deployment scheme as the solving goal.The quantum genetic algorithm with reasonable chromosome coding and optimized quantum rotation gate parameter is used to search the solution space,which has a good convergence rate and a fast computation speed.Two limit values of ideal coverage rate and ideal weighted coverage rate are introduced to evaluate the algorithm by the way of relative comparison.The result of simulation experiments and data analyses show that the solutions worked out by the algorithm can well approximate the ideal limit value.When the number of sensor nodes is given,the algorithm can obtain the maximum effective coverage rate.…”
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Exploration of Quantum Chemistry Methods to Explain Mechanism of Mechanochemical Degradation of Typical Organic Pollutants by Xiaohui Zhang, Xiaoqian Xu, Zeya Zhang, Liang Pei, Tongshun Han

“…This technology has gained widespread attention in recent years for its application in the degradation of organic solid chemical pollutants. In this study, quantum chemical density functional theory (DFT) was employed to first analyze the impact of electron addition and subtraction on molecular chemical bonds. …”
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Macroproperties vs. microstates in the classical simulation of critical phenomena in quench dynamics of 1D Ising models by Anupam Mitra, Tameem Albash, Philip Daniel Blocher, Jun Takahashi, Akimasa Miyake, Grant Biedermann, Ivan H Deutsch

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Computing the Energy and Estrada Index of Different Molecular Structures by Zeeshan Saleem Mufti, Rukhshanda Anjum, Qin Xin, Fairouz Tchier, Iram Anwar-ul-Haq, Yaé Ulrich Gaba

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A flexible continuous-wave quantum cryptography scheme with zero-trust security for Internet of Things by Yong Shen, Xiaokang Tang, Xiang Zhang, Yongzhuang Zhou, Hongxin Zou

“…As quantum computing techniques develop rapidly, the security of classical communication, which is usually based on public key encryption algorithm, is under great threat. …”
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Enhancing Deepfake Detection Through Quantum Transfer Learning and Class-Attention Vision Transformer Architecture by Bekir Eray Katı, Ecir Uğur Küçüksille, Güncel Sarıman

“…In addition to existing preprocessing methods in the literature, a novel preprocessing function tailored to the requirements of deep learning models was developed for the dataset. The advantages of quantum computing offered by QTL were merged with the global feature extraction capabilities of the CaiT. …”
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Interconnected TiO2 Nanowire Networks for PbS Quantum Dot Solar Cell Applications by Fan Xu, Jaime Benavides, Xin Ma, Sylvain G. Cloutier

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Quantum-limited stochastic optical neural networks operating at a few quanta per activation by Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant, Logan G. Wright, Peter L. McMahon

“…Abstract Energy efficiency in computation is ultimately limited by noise, with quantum limits setting the fundamental noise floor. …”
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Machine learning with knowledge constraints for design optimization of microring resonators as a quantum light source by Parisa Sadeghli Dizaji, Hamidreza Habibiyan

“…Abstract With careful design and integration, microring resonators can serve as a promising foundation for developing compact and scalable sources of non-classical light for quantum information processing. However, the current design flow is hindered by computational challenges and a complex, high-dimensional parameter space with interdependent variables. …”
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Sub-bandgap charge harvesting and energy up-conversion in metal halide perovskites: ab initio quantum dynamics by Bipeng Wang, Weibin Chu, Yifan Wu, Wissam A. Saidi, Oleg V. Prezhdo

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Design and validation of a-SiC/SiN hybrid photonic platform for integrated quantum photonics by Naresh Sharma, Zizheng Li, Bruno Lopez-Rodriguez, Joey Vrugt, Stijn van der Waal, Luozhen Li, Roald van der Kolk, Philip J Poole, Dan Dalacu, Iman Esmaeil Zadeh

“…Recent efforts in quantum photonics emphasize on-chip generation, manipulation, and detection of single photons for quantum computing and quantum communication. …”
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