Block encoding bosons by signal processing by Christopher F. Kane, Siddharth Hariprakash, Neel S. Modi, Michael Kreshchuk, Christian W Bauer

“…Block Encoding (BE) is a crucial subroutine in many modern quantum algorithms, including those with near-optimal scaling for simulating quantum many-body systems, which often rely on Quantum Signal Processing (QSP). …”
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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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Efficient and practical Hamiltonian simulation from time-dependent product formulas by Jan Lukas Bosse, Andrew M. Childs, Charles Derby, Filippo Maria Gambetta, Ashley Montanaro, Raul A. Santos

“…Abstract In this work we propose an approach for implementing time-evolution of a quantum system using product formulas. The quantum algorithms we develop have provably better scaling (in terms of gate complexity and circuit depth) than a naive application of well-known Trotter formulas, for systems where the evolution is determined by a Hamiltonian with different energy scales (i.e., one part is “large” and another part is “small”). …”
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The cost of solving linear differential equations on a quantum computer: fast-forwarding to explicit resource counts by David Jennings, Matteo Lostaglio, Robert B. Lowrie, Sam Pallister, Andrew T. Sornborger

“…There is increasing effort in developing quantum algorithms to efficiently simulate dynamics beyond Hamiltonian simulation, but so far exact resource estimates are not known. …”
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A Quantum Perceptron: A New Approach for Predicting Rice Prices at the Indonesian Wholesale Trade Level by Solikhun, Tri Yunita

“…The research describes the implementation of quantum algorithms in the context of the Indonesian rice wholesale market, including the technical challenges encountered and future development prospects. …”
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Lightcone bounds for quantum circuit mapping via uncomplexity by Matthew Steinberg, Medina Bandić, Sacha Szkudlarek, Carmen G. Almudever, Aritra Sarkar, Sebastian Feld

“…We also develop an initial placement algorithm based on graph similarity search, aiding us in optimally placing circuit qubits onto a device. 600 realistic benchmarks using the IBM Qiskit compiler and a brute-force method are then tested against the lightcone bound, with results unambiguously verifying the veracity of the bound, while permitting trustworthy estimations of minimal overhead in near-term realizations of quantum algorithms. This work constitutes the first use of quantum circuit uncomplexity to practically-relevant quantum computing.…”
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Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions by Gundala Pallavi, Rangarajan Prasanna Kumar

“…To establish a correct background of QNLP techniques, this article is going to explore the basics of quantum computing including qubits, quantum entanglement, and quantum algorithms. The next section is devoted to the application of QNLP in the extraction of material and valuable information and knowledge related to drug discovery and development, prediction and assessment of drug-target interactions. …”
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Practical Introduction to Benchmarking and Characterization of Quantum Computers by Akel Hashim, Long B. Nguyen, Noah Goss, Brian Marinelli, Ravi K. Naik, Trevor Chistolini, Jordan Hines, J.P. Marceaux, Yosep Kim, Pranav Gokhale, Teague Tomesh, Senrui Chen, Liang Jiang, Samuele Ferracin, Kenneth Rudinger, Timothy Proctor, Kevin C. Young, Irfan Siddiqi, Robin Blume-Kohout

“…Breakthroughs in quantum algorithms, quantum simulations, and quantum error correction are bringing useful quantum computation closer to fruition. …”
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A New Hard Problem for Post-Quantum Cryptography: Q-Problem Primitives by Mostefa Kara, Mohammad Hammoudeh, Sultan Alamri

“…This shift is motivated by the structural vulnerabilities that quantum algorithms may exploit in traditional formulations. …”
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Integrating holographic counterparts for intelligent IoT consumer devices by M. Rajesh, M. Usha, Sathishkumar Veerappampalayam Easwaramoorthy

“…Advancements in quantum algorithms for predictive learning, self-optimization through more integrated machine learning models, and the development of standardised interoperability protocols to facilitate wider industrial usage are all areas that will be investigated in future research.…”
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Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions by Deepak Ranga, Aryan Rana, Sunil Prajapat, Pankaj Kumar, Kranti Kumar, Athanasios V. Vasilakos

“…We analyze basis, amplitude, angle, and other high-level encodings in depth to demonstrate how various strategies affect encoding improvements in quantum algorithms. However, they identify major problems with encoding in the framework of QML, including scalability, computational burden, and noise. …”
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Formulating and Solving Routing Problems on Quantum Computers by Stuart Harwood, Claudio Gambella, Dimitar Trenev, Andrea Simonetto, David Bernal Neira, Donny Greenberg

“…The ongoing evolution of quantum computing hardware and the recent advances of quantum algorithms (i.e., VQE, QAOA, and ADMM) for mathematical programming make decision-making for routing problems an avenue of research worthwhile to be explored on quantum devices. …”
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Initial State Preparation for Quantum Chemistry on Quantum Computers by Stepan Fomichev, Kasra Hejazi, Modjtaba Shokrian Zini, Matthew Kiser, Joana Fraxanet, Pablo Antonio Moreno Casares, Alain Delgado, Joonsuk Huh, Arne-Christian Voigt, Jonathan E. Mueller, Juan Miguel Arrazola

“…Quantum algorithms for ground-state energy estimation of chemical systems require a high-quality initial state. …”
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Quantum metamaterials: Applications in quantum information science by Solomon Uriri, Yaseera Ismail, Mhlambululi Mafu

“…We restrict this study to quantum state manipulation and control, quantum entanglement, single photon generation, quantum state switching, quantum state engineering, quantum key distribution, quantum algorithms, orbital angular momentum, and quantum imaging. …”
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Quantum Testing of Recommender Algorithms on GPU-Based Quantum Simulators by Chenxi Liu, W. Bernard Lee, Anthony G. Constantinides

“…Our results suggest that quantum algorithms may offer computational advantages for certain use cases, though classical heuristics also provide competitive performance for smaller datasets. …”
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Reducing the resources required by ADAPT-VQE using coupled exchange operators and improved subroutines by Mafalda Ramôa, Panagiotis G. Anastasiou, Luis Paulo Santos, Nicholas J. Mayhall, Edwin Barnes, Sophia E. Economou

“…Abstract Adaptive variational quantum algorithms arguably offer the best prospects for quantum advantage in the Noisy Intermediate-Scale Quantum era. …”
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Hybrid quantum and in-memory computing for accelerating solving Simon’s problem by Zheng Miao, Yongxiang Li, Shiqing Wang, Zhong Sun

“…This hybrid computing approach is validated by performing a co-simulation of the quantum algorithm in a quantum information science kit and IMC with a simulation program with integrated circuit emphasis using an idealized resistive random-access memory behavioral model. …”
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Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning by Sangwoo Park, Osvaldo Simeone

“…Quantum machine learning is a promising programming paradigm for the optimization of quantum algorithms in the current era of noisy intermediate-scale quantum computers. …”
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Dictionary-based Block Encoding of Sparse Matrices with Low Subnormalization and Circuit Depth by Chunlin Yang, Zexian Li, Hongmei Yao, Zhaobing Fan, Guofeng Zhang, Jianshe Liu

“…Block encoding severs as an important data input model in quantum algorithms, enabling quantum computers to simulate non-unitary operators effectively. …”
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IQGO: Iterative Quantum Gate Optimiser for Quantum Data Embedding by Tautvydas Lisas, Ruairi de Frein

“…These promising results suggest that quantum algorithms may perform well at data classification problems. …”
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