An efficient Quantum Approximate Optimization Algorithm with fixed linear ramp schedule for truss structure optimization by Junsen Xiao, Naruethep Sukulthanasorn, Reika Nomura, Shuji Moriguchi, Kenjiro Terada

“…In the two structural cases investigated in this study, the proposed approach highlights the feasibility and applicability potential of quantum computing in advancing engineering design and optimization. …”
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Quantum Computation via Multiport Discretized Quantum Fourier Optical Processors by Mohammad Rezai, Jawad A. Salehi

“…For instance, we demonstrate the principle by implementing the single-qubit Hadamard and the two-qubit controlled-<sc>not</sc> gates via simulation and optimization techniques. Due to various advantages of the proposed scheme, including the large information capacity of the photon wavefront, a quadratically reduced number of optical resources compared with other conventional path-encoding techniques, and dynamic programmability, the proposed scheme has the potential to be an essential contribution to linear optical quantum computing and optical quantum signal processing.…”
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Two-qubit gate protocols with microwave-dressed Rydberg ions in a linear Paul trap by Joseph W P Wilkinson, Katrin Bolsmann, Thiago L M Guedes, Markus Müller, Igor Lesanovsky

“…Overall, this places trapped Rydberg ions into the regime where fast high-accuracy quantum computing and eventually quantum error correction become possible.…”
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Improving Quantum Optimization Algorithms by Constraint Relaxation by Tomasz Pecyna, Rafał Różycki

“…Quantum optimization is a significant area of quantum computing research with anticipated near-term quantum advantages. …”
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A Quantum Framework for Combinatorial Optimization Problem over Graphs by Meng Shi, Sai Wu, Ying Li, Gongsheng Yuan, Chang Yao, Gang Chen

“…In this paper, we propose a general quantum algorithm framework searching for approximate solutions to combinatorial optimization problems with linear objective functions. …”
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Investigating amplitude amplification in optimization-based control for a continuous stirred tank reactor by Kip Nieman, Helen Durand, Saahil Patel, Daniel Koch, Paul M. Alsing

“…Our prior work evaluated the use of a gate-based quantum amplitude amplification algorithm when applied to a model predictive control optimization problem, specifically evaluating a linear systems example. …”
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Quantum DeepONet: Neural operators accelerated by quantum computing by Pengpeng Xiao, Muqing Zheng, Anran Jiao, Xiu Yang, Lu Lu

“…Given the progress in quantum algorithms and hardware, here we propose to utilize quantum computing to accelerate DeepONet evaluations, yielding complexity that is linear in input dimensions. …”
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The Effect of Trap Design on the Scalability of Trapped-Ion Quantum Technologies by Le Minh Anh Nguyen, Brant Bowers, Sara Mouradian

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Novel Application of Quantum Computing for Routing and Spectrum Assignment in Flexi-Grid Optical Networks by Oumayma Bouchmal, Bruno Cimoli, Ripalta Stabile, Juan Jose Vegas Olmos, Carlos Hernandez, Ricardo Martinez, Ramon Casellas, Idelfonso Tafur Monroy

“…By formulating the problem as a Quadratic Unconstrained Binary Optimization (QUBO) model, we employ the Quantum Approximate Optimization Algorithm (QAOA) to effectively solve it. …”
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Synthesis of a reversible quantum Vedic multiplier on IBM quantum computers by Mojtaba Noorallahzadeh, Mohammad Mosleh

“…They use quantum algorithms for improved performance and depend on reversible computations based on quantum physics and linear algebra. …”
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Seismic Wave Propagation Simulation With Quantum Computing by Xixiang Wen, Yanfei Wang

“…Abstract Nowadays, the utilization of quantum computing is on the rise, with its applications extending across numerous fields. …”
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Optimized Distribution of Entanglement Graph States in Quantum Networks by Xiaojie Fan, Caitao Zhan, Himanshu Gupta, C. R. Ramakrishnan

“…Building large-scale quantum computers, essential to demonstrating quantum advantage, is a key challenge. …”
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An FPGA-Based Quantum Computing Emulation Framework Based on Serial-Parallel Architecture by Y. H. Lee, M. Khalil-Hani, M. N. Marsono

“…Hardware emulation of quantum systems can mimic more efficiently the parallel behaviour of quantum computations, thus allowing higher processing speed-up than software simulations. …”
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The role of quantum computing in advancing plasma physics simulations for fusion energy and high-energy by Yifei Yang

“…We show that by integrating QC into plasma research, one can solve large-scale linear equations, compute eigenvalues, and optimize complex systems, performing better than classical methods. …”
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Hardware-efficient preparation of architecture-specific graph states on near-term quantum computers by Sebastian Brandhofer, Ilia Polian, Stefanie Barz, Daniel Bhatti

“…Abstract Highly entangled quantum states are an ingredient in numerous applications in quantum computing. …”
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Optimal ILP-Based Approach for Gate Location Assignment and Scheduling in Quantum Circuits by Naser Mohammadzadeh, Tayebeh Bahreini, Hossein Badri

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Quantum key distribution rates from non-symmetric conic optimization by Andrés González Lorente, Pablo V. Parellada, Miguel Castillo-Celeita, Mateus Araújo

“…It is a difficult optimization problem, that depends on minimizing a convex non-linear function: the (quantum) relative entropy. …”
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Quantum annealing feature selection on light-weight medical image datasets by Merlin A. Nau, Luca A. Nutricati, Bruno Camino, Paul A. Warburton, Andreas K. Maier

“…Abstract We investigate the use of quantum computing algorithms on real quantum hardware to tackle the computationally intensive task of feature selection for light-weight medical image datasets. …”
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Formulation and evaluation of ocean dynamics problems as optimization problems for quantum annealing machines. by Takuro Matsuta, Ryo Furue

“…Recent advancements in quantum computing suggest the potential to revolutionize computational algorithms across various scientific domains including oceanography and atmospheric science. …”
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Integer linear programming for unsupervised training set selection in molecular machine learning by Matthieu Haeberle, Puck van Gerwen, Ruben Laplaza, Ksenia R Briling, Jan Weinreich, Friedrich Eisenbrand, Clémence Corminboeuf

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