Clinical and Operational Applications of Artificial Intelligence and Machine Learning in Pharmacy: A Narrative Review of Real-World Applications by Maree Donna Simpson, Haider Saddam Qasim

“…Emerging technologies like federated learning and quantum computing have the potential to boost the prediction of protein–drug interactions by up to 300%, despite challenges including high implementation costs and regulatory compliance. …”
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Implementation of finite state logic machines via the dynamics of atomic systems by Dawit Hiluf Hailu

“…This has led to the exploration of various research paths in search of alternative computing paradigms, such as quantum computing, 3D transistors, molecular logic, and continuous logic. …”
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Detect anomalous quartic gauge couplings at muon colliders with quantum kernel k-means by Shuai Zhang, Ke-Xin Chen, Ji-Chong Yang

“…It is well known that the kernel k-means algorithm can be carried out with the help of quantum computing, which suggests that quantum kernel k-means (QKKM) is also a potential tool for NP phenomenological studies in the future. …”
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Multi-level probabilistic computing: application to the multiway number partitioning problems by Ki Hyuk Han, Gyuyoung Park, Jeong Ung Ahn, YongJin Kim, Deok Hyun Yun, Seung-Hun Jang, Young-Jun Nah, Min-Gu Kang, Hyun Cheol Koo, OukJae Lee

“…Abstract Probabilistic computing, a class of physics-based computing, bridges the gap between quantum computing and the classical von Neumann architecture. …”
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Suppressing Counter-Rotating Errors for Fast Single-Qubit Gates with Fluxonium by David A. Rower, Leon Ding, Helin Zhang, Max Hays, Junyoung An, Patrick M. Harrington, Ilan T. Rosen, Jeffrey M. Gertler, Thomas M. Hazard, Bethany M. Niedzielski, Mollie E. Schwartz, Simon Gustavsson, Kyle Serniak, Jeffrey A. Grover, William D. Oliver

“…This work establishes straightforward strategies for mitigating counter-rotating effects from strong drives in circuit QED and other platforms, which we expect to be helpful in the effort to realize high-fidelity control for fault-tolerant quantum computing.…”
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Finding Key Nodes in Complex Networks Through Quantum Deep Reinforcement Learning by Juechan Xiong, Xiao-Long Ren, Linyuan Lü

“…By leveraging principles of quantum computing, our method is designed to reduce model parameters and computational complexity compared to traditional neural networks. …”
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A comprehensive review of post-quantum cryptography: Challenges and advances by Seyed M. Hosseini, Hossein Pilaram

“…In the last decade, with the advances in quantum computing technology and the realization of quantum computers, which have higher computational power compared to conventional computers and can execute special kinds of algorithms (i.e., quantum algorithms), the security of many existing cryptographic algorithms has been questioned. …”
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Microstructure characterization, phase transition, and device application of phase-change memory materials by Kai Jiang, Shubing Li, Fangfang Chen, Liping Zhu, Wenwu Li

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Quantum resonant dimensionality reduction by Fan Yang, Furong Wang, Xusheng Xu, Pan Gao, Tao Xin, ShiJie Wei, Guilu Long

“…Quantum computing is a promising candidate for accelerating machine learning tasks. …”
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Securing IoT communication: a module-LWE key exchange protocol with efficient error reconciliation technique by Alvary Kefas Kwala, Alpna Mishra, Anshu Kumar

“…Abstract The widespread use of Internet of Things devices alongside advances in quantum computing presents urgent challenges for secure communication. …”
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Photon-number Splitting Attack on SARG04 Protocol: An Extended Work by Dana F. Abdulqadir, Omar S. Mustafa, Ali H. Yousef

“…Many scientists and researchers have introduced other cryptographic subjects in quantum computing which is known as quantum key distribution protocol. …”
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Millimeter-Wave Superconducting Qubit by Alexander Anferov, Fanghui Wan, Shannon P. Harvey, Jonathan Simon, David I. Schuster

“…This demonstration of a millimeter-wave quantum emitter offers exciting prospects for enhanced sensitivity thresholds in high-frequency photon detection, provides new options for quantum transduction and for scaling up and speeding up quantum computing, enables integration of quantum systems where ^{3}He refrigeration units are impractical, and, importantly, paves the way for quantum experiments exploring a novel energy range.…”
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A systematic review of quantum machine learning for digital health by Riddhi S. Gupta, Carolyn E. Wood, Teyl Engstrom, Jason D. Pole, Sally Shrapnel

“…Included studies use electronic health/medical records, or reasonable proxy data, and QML algorithms designed for quantum computing hardware. Databases PubMed, Embase, IEEE, Scopus, and preprint server arXiv were searched for studies dated 01/01/2015–10/06/2024. …”
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Optimizing Post-Quantum Digital Signatures with Verkle Trees and Quantum Seed-Based Pseudo-Random Generators by Maksim Iavich, Nursulu Kapalova

“…Nowadays, quantum computing is developing at an unprecedented speed. …”
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Multiparty private summation protocol based on two-state quantum-mechanical system by Jason Lin, Shao-Lun Huang, Chun-Wei Yang, Chia-Wei Tsai

“…To counter the threat posed by quantum computing to encrypted data, various quantum private summation (QPS) protocols have been proposed thus far. …”
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Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice by Mohamed Hibat-Allah, Ejaaz Merali, Giacomo Torlai, Roger G. Melko, Juan Carrasquilla

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On the Baltimore Light RailLink into the quantum future by Krzysztof Domino, Emery Doucet, Reece Robertson, Bartłomiej Gardas, Sebastian Deffner

“…Our research marks the inaugural application of both quantum computing paradigms to tramway and railway rescheduling, highlighting the potential of quantum noise as a beneficial resource in complex optimization scenarios.…”
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Deep quanvolutional neural networks with enhanced trainability and gradient propagation by Muhammad Kashif, Muhammad Shafique

“…Our findings represent a significant advancement in quantum deep learning, opening new possibilities for both theoretical exploration and practical quantum computing applications.…”
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AI image enhancement for failure analysis in 3D quantum information technology by Raphael Wilhelmer, Fabian Laurent, Tatjana Djuric-Rissner, Max Glantschnig, Johann Strasser, Stefan Weinberger, Tobias Herrmann, Clemens Rössler, Peter Czurratis, Roland Brunner

“…Abstract 3D integration and miniaturization techniques get more widely used in conventional integrated circuits but also represent crucial ingredients for future quantum computing devices. This consolidates the need for efficiently detecting increasingly small defects on wafer size. …”
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Quasiprobabilistic Readout Correction of Midcircuit Measurements for Adaptive Feedback via Measurement Randomized Compiling by Akel Hashim, Arnaud Carignan-Dugas, Larry Chen, Christian Jünger, Neelay Fruitwala, Yilun Xu, Gang Huang, Joel J. Wallman, Irfan Siddiqi

“…Quantum measurements are a fundamental component of quantum computing. However, on present-day quantum computers, measurements can be more error prone than quantum gates and are susceptible to nonunital errors as well as nonlocal correlations due to measurement crosstalk. …”
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