Modular quantum signal processing in many variables by Zane M. Rossi, Jack L. Ceroni, Isaac L. Chuang

“…Consequently, as many quantum algorithms have been unified with the advent of quantum signal processing (QSP) and quantum singular value transformation (QSVT), an opportunity has appeared to cast these algorithms as modules that can be combined to constitute complex programs. …”
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Main control factors affecting mechanical oil recovery efficiency in complex blocks identified using the improved k-means algorithm. by Qiuyu Lu, Suling Wang, Minzheng Jiang, Yanchun Li, Kangxing Dong

“…Taking an oil production block in the Daqing Oilfield as the research object, the k-means and improved algorithm are used to analyse the main control factors influencing mechanical production efficiency. …”
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End-to-end algorithm research in PACT — from signal processing to reconstruction solution to image processing: A review by JinJin Cheng, Shuilin Wang, Shirui Dong, Yang Wang, Xuyu Fu, Jichao Zhang, Wenkai Li, Siyu Chen, Silue Zeng, Yaguang Ren, Xiaohui Ma, Jinhai Liu, Mingjian Sun, Rongkang Gao, Chengbo Liu

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A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

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Chronic bronchitis – new clinical recommendations (main provisions): A review on behalf of the working group for the development and revision of clinical guidelines for chronic bro... by Igor V. Leshchenko, Sergey N. Avdeev, Andrey A. Zaytsev, Svetlana I. Ovcharenko

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Efficient Reasoning upon Fusion of Many Data Sources by Chase Alexander Yakaboski, Eugene Santos

“…With this algorithm, we show how reasoning complexity upon fusion of many sources can be significantly reduced while maintaining the underlying probability semantics of all sources. …”
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Many-body computing on Field Programmable Gate Arrays by Songtai Lv, Yang Liang, Yuchen Meng, Xiaochen Yao, Jincheng Xu, Yang Liu, Qibin Zheng, Haiyuan Zou

“…Here we leverage the capabilities of Field Programmable Gate Arrays for conducting quantum many-body calculations and realize a tenfold speedup over Central Processing Unit-based computation for a Monte Carlo algorithm. …”
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The advantage of quantum control in many-body Hamiltonian learning by Alicja Dutkiewicz, Thomas E. O'Brien, Thomas Schuster

“…With continuous quantum control, we provide an adaptive algorithm for learning a many-body Hamiltonian at the Heisenberg limit: $T = \mathcal{O}(\epsilon^{-1})$, where $T$ is the total amount of time evolution across all experiments and $\epsilon$ is the target precision. …”
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Effective temperature in approximate quantum many-body states by Yu-Qin Chen, Shi-Xin Zhang

“…This study focuses on the spectral decomposition of these approximate quantum many-body states into exact eigenstates of the target Hamiltonian, which reflects the intricate physics at the interplay between quantum systems and numerical algorithms. …”
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Bilateral Matching Decision Model and Calculation of High-Speed Railway Train Crew Members by Wen Li, Yinzhen Li, Rui Xue, Yuxing Jiang, Yu Li

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Impact of the technical condition of main pumps on fuel consumption in a hydraulic excavator by Maxim G. Rakhutin, Van Hiep Tran, Alexander E. Krivenko, Quoc Khanh Giang

“…This expression considers the technical condition of the main pumps, their rate of deterioration, fuel costs, and pump replacement costs. …”
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Unveiling the Technological Dynamics of Banking Systems: A Network Analysis of Chinese and Global Banking Innovation by Chuhan Zhang, Xiuting Li

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Convergence-Driven Adaptive Many-Objective Particle Swarm Optimization by Yunfei Yi, ZhiYong Wang, Yunying Shi, Zhengzhuo Song, Binbin Zhao

“…To overcome these challenges, this study proposes a Convergence-Driven Adaptive Many-Objective Particle Swarm Optimization (CDA-MOPSO) algorithm. …”
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An Evolutionary Toolchain for Morphological Filter Mapping on Many-Core Architectures by Emerson C. Pedrino, Denis P. Lima, Igor F. Gallon, Valentin O. Roda, Naijia Liu, Gianluca Tempesti

“…The approach presented in this paper explores a two-phase design-time optimization toolchain based on evolutionary algorithms: a front-end single-objective algorithm decomposes a MM filter using smaller operators, while a back-end multi-objective (fault-tolerance, energy, and communication) algorithm searches for optimal mappings of the filter on a specific many-core system, taking into account the architectural parameters of the hardware. …”
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New Procedures in Pediatric Oncology and Hematology: Too Many Questions by Polina G. Gabay, Sophia A. Dronova

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Universal method for opnimal design main structural assemblies of steel structures stationary conveyor with hanging ribbon by Boslovyak P.V., Zueva E.P.

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Experimental studies of radar image construction algorithms for propellers and measurement method for repetition frequencies of the blades by S. R. Heister, T. T. Nguyen

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Research and Engineering Practice of Var-Voltage Control in Primary and Distribution Networks Considering the Reactive Power Regulation Capability of Distributed PV Systems by Haiyun Wang, Qian Chen, Linyu Zhang, Xiyu Yin, Zhijian Zhang, Huayue Wei, Xiaoyue Chen

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Krylov diagonalization of large many-body Hamiltonians on a quantum processor by Nobuyuki Yoshioka, Mirko Amico, William Kirby, Petar Jurcevic, Arkopal Dutt, Bryce Fuller, Shelly Garion, Holger Haas, Ikko Hamamura, Alexander Ivrii, Ritajit Majumdar, Zlatko Minev, Mario Motta, Bibek Pokharel, Pedro Rivero, Kunal Sharma, Christopher J. Wood, Ali Javadi-Abhari, Antonio Mezzacapo

“…Here, we use a superconducting quantum processor to compute eigenenergies of quantum many-body systems on two-dimensional lattices of up to 56 sites, using the Krylov quantum diagonalization algorithm, an analog of the well-known classical diagonalization technique. …”
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Many-Objective Truss Structural Optimization Considering Dynamic and Stability Behaviors by João Marcos P. Vieira, José Pedro G. Carvalho, Dênis E. C. Vargas, Érica C. R. Carvalho, Patrícia H. Hallak, Afonso C. C. Lemonge

“…This paper aims to propose seven innovative many-objective structural optimization problems (MOSOPs) applied to 25-, 56-, 72-, 120-, and 582-bar trusses, not yet presented in the literature, in which the main objectives, in addition to the structure’s weight, refer to the structures’ vibrational and stability aspects. …”
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