Variational Quantum Simulation: A Case Study for Understanding Warm Starts by Ricard Puig, Marc Drudis, Supanut Thanasilp, Zoë Holmes

“…The barren plateau phenomenon, characterized by loss gradients that vanish exponentially with system size, poses a challenge to scaling variational quantum algorithms. Here we explore the potential of warm starts, whereby one initializes closer to a solution in the hope of enjoying larger loss variances. …”
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Learning Fourier series with parametrized quantum circuits by Dirk Heimann, Hans Hohenfeld, Gunnar Schönhoff, Elie Mounzer, Frank Kirchner

“…Variational quantum algorithms (VQAs) and their applications in the field of quantum machine learning through parametrized quantum circuits (PQCs) are thought to be one major way of leveraging noisy intermediate-scale quantum computing devices. …”
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Real-Time Threat Mitigation in Financial IT Infrastructures Using Quantum Computing by Jean Marie Vianney Sindayigaya

“…Our findings indicate that quantum algorithms substantially enhance threat detection accuracy, reduce response latency, and ensure secure communication against quantum-powered threats. …”
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High dimensional counterdiabatic quantum computing by Diego Tancara, Francisco Albarrán-Arriagada

“…Finally, considering the state-of-the-art quantum platforms, we show the experimental feasibility of our high-dimensional counterdiabatic quantum algorithms at least in a fully digital form. This work paves the way for the efficient codification of optimization problems in high-dimensional spaces and their efficient implementation using counterdiabatic quantum computing.…”
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Enhancing Scalability of Quantum Eigenvalue Transformation of Unitary Matrices for Ground State Preparation through Adaptive Finer Filtering by Erenay Karacan, Yanbin Chen, Christian B. Mendl

“…One of the main challenges of such quantum algorithms is increasing the system size, which is necessary to achieve meaningful quantum advantage. …”
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A quantum multiplier based on the quantum Fourier transform algorithm by Qian Junkai, Zhu Jialiang, Ye Bin

“…Multiplier is one of the basic units in many quantum algorithms. In order to implement the multiplying operations and use as few auxiliary qubits in the quantum circuit as possible, a quantum multiplier based on the quantum Fourier transform is proposed. …”
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An invitation to the sample complexity of quantum hypothesis testing by Hao-Chung Cheng, Nilanjana Datta, Nana Liu, Theshani Nuradha, Robert Salzmann, Mark M. Wilde

“…The final part of our paper outlines and reviews how sample complexity of quantum hypothesis testing is relevant to a broad swathe of research areas and can enhance understanding of many fundamental concepts, including quantum algorithms for simulation and search, quantum learning and classification, and foundations of quantum mechanics. …”
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Trade-off between gradient measurement efficiency and expressivity in deep quantum neural networks by Koki Chinzei, Shinichiro Yamano, Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima

“…However, QNNs currently lack general quantum algorithms for efficiently measuring gradients, which limits their scalability. …”
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Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping by Alexander Gresch, Martin Kliesch

“…For instance, the measurement effort poses a critical bottleneck for variational quantum algorithms. We aim to find the optimal strategy with single-qubit measurements that yields the highest provable accuracy given a total measurement budget. …”
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Will Central Bank Digital Currencies (CBDC) and blockchain cryptocurrencies coexist in the post quantum era? by Abraham Itzhak Weinberg, Pythagoras Petratos, Alessio Faccia

“…It examines the implications of emerging quantum algorithms and cryptographic techniques such as Multi-Party Computation (MPC) and Oblivious Transfer (OT). …”
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Comparative study of quantum error correction strategies for the heavy-hexagonal lattice by César Benito, Esperanza López, Borja Peropadre, Alejandro Bermudez

“…Topological quantum error correction is a milestone in the scaling roadmap of quantum computers, which targets circuits with trillions of gates that would allow running quantum algorithms for real-world problems. The square-lattice surface code has become the workhorse to address this challenge, as it poses milder requirements on current devices both in terms of required error rates and small local connectivities. …”
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LX-mixers for QAOA: Optimal mixers restricted to subspaces and the stabilizer formalism by Franz G. Fuchs, Ruben Pariente Bassa

“…Overall, we hope that this new perspective can lead to further insight into the development of quantum algorithms.…”
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Post-Quantum Homomorphic Encryption: A Case for Code-Based Alternatives by Siddhartha Siddhiprada Bhoi, Arathi Arakala, Amy Beth Corman, Asha Rao

“…This review presents an overview of the current approaches to building PQHE schemes and justifies code-based encryption as a novel way to diversify post-quantum algorithms. We present the mathematical underpinnings of existing code-based cryptographic frameworks and their security and efficiency guarantees. …”
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Quantum-enhanced intelligent system for personalized adaptive radiotherapy dose estimation by Radhey Lal, Rajiv Kumar Singh, Dinesh Kumar Nishad, Saifullah Khalid

“…The system efficiently models radiation transport and predicts patient-specific dose distributions by integrating quantum algorithms, deep learning, and Monte Carlo simulations. …”
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Quantum Machine Learning: Recent Advances, Challenges, and Perspectives by Pradeep Lamichhane, Danda B. Rawat

“…QML combines quantum computing and machine learning to solve complex problems in different domains, leveraging quantum algorithms to enhance classical machine learning techniques. …”
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Reinforcement Learning Based Quantum Circuit Optimization via ZX-Calculus by Jordi Riu, Jan Nogué, Gerard Vilaplana, Artur Garcia-Saez, Marta P. Estarellas

“…Our approach is a valuable tool for the implementation of quantum algorithms in the near-term intermediate-scale range (NISQ).…”
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Efficient sparse state preparation via quantum walks by Alvin Gonzales, Rebekah Herrman, Colin Campbell, Igor Gaidai, Ji Liu, Teague Tomesh, Zain H. Saleem

“…Abstract Continuous-time quantum walks (CTQWs) on dynamic graphs, referred to as dynamic CTQWs, are a recently introduced universal model of computation that offers a new paradigm in which to envision quantum algorithms. In this work, we develop an algorithm that converts single-edge and self-loop dynamic CTQWs to the gate model of computation. …”
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What Business Managers Should Know About Quantum Computing? by Kelvin Leong, Anna Sung

“…In addition, we provided an introduction on what is quantum computing and discussed related quantum algorithms. Finally, we summarized four major potential applications of quantum computing in business management. …”
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Key predictors of student proficiency in quantum computing by Shabnam Sodagari

“…Multiple regression analysis revealed that general understanding, exposure to topics, and qubit knowledge significantly contribute to proficiency, while topics such as quantum algorithms and teleportation were negatively associated, suggesting areas of greater instructional difficulty. …”
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Quantum Computing and the Law: Navigating the Legal Implications of a Quantum Leap by Kasim Balarabe

“…The unique characteristics of quantum algorithms and hardware pose significant challenges for the existing patent system, necessitating a clear and consistent framework for protecting quantum innovations while fostering collaboration. …”
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