Results 41 to 50 of about 429 (149)

Qubit‐Efficient Quantum Local Search for Combinatorial Optimization

Advanced Quantum Technologies, Volume 9, Issue 3, March 2026.
We introduce a qubit‐efficient variational quantum algorithm for combinatorial optimization that adaptively uses from logarithmic to a linear number of qubits to implement quantum local search. The method encodes flip probabilities of spin groups into quantum amplitudes, enabling exploration of classically intractable neighborhoods while maintaining ...
Mikhail Podobrii, Viacheslav Kuzmin, Vladimir Voloshinov, Margarita Veshchezerova, Michael R. Perelshtein   +4 more
wiley   +1 more source

Addressing ecological challenges from a quantum computing perspective

Methods in Ecology and Evolution, Volume 17, Issue 3, Page 632-649, March 2026.
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet, Maxime Dion, F. Guillaume Blanchet   +2 more
wiley   +1 more source

Synchrotron Radiation for Quantum Technology

Advanced Functional Materials, Volume 36, Issue 15, 19 February 2026.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader, Sakura Pascarelli, Klaus Attenkofer, Anna A. Makarova, Karsten Holldack, Kai Rossnagel, Kristiaan Temst, George Kourousias, Stefano Carretta, Caterina Biscari, Helmut Dosch   +10 more
wiley   +1 more source

Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices

Physical Review X, 2020
The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical variational algorithm designed to tackle combinatorial optimization problems.
Leo Zhou, Sheng-Tao Wang, Soonwon Choi, Hannes Pichler, Mikhail D. Lukin   +4 more
doaj   +1 more source

Improving the performance of quantum approximate optimization for preparing non-trivial quantum states without translational symmetry

New Journal of Physics, 2023
The variational preparation of complex quantum states using the quantum approximate optimization algorithm (QAOA) is of fundamental interest, and becomes a promising application of quantum computers.
Zheng-Hang Sun, Yong-Yi Wang, Jian Cui, Heng Fan   +3 more
doaj   +1 more source

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

Advanced Science, Volume 13, Issue 12, 27 February 2026.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang, Yuxin Yang, William Martin, Kingsten Lin, Zixu Wang, Cheng‐Chang Lu, Weiwen Jiang, Ruth Nussinov, Joseph Loscalzo, Qiang Guan, Feixiong Cheng   +10 more
wiley   +1 more source

Mapping Quantum Computing Techniques for NP‐Hard Problems in Operations Management and Operations Research

Engineering Reports, Volume 8, Issue 2, February 2026.
Quantum computing techniques such as Quantum Annealing and Quadratic Unconstrained Binary Optimization are effectively solving NP‐hard problems in operations management and research, particularly in logistics, manufacturing, and finance. This study maps these applications to present a framework for future adoption across industries. ABSTRACT This study
Daniel Bouzon Nagem Assad, Patricia Gomes Ferreira da Costa, Thaís Spiegel, Hélcio de Oliveira Rocha   +3 more
wiley   +1 more source

Quantum approximate optimization via learning-based adaptive optimization

Communications Physics
Combinatorial optimization problems are ubiquitous and computationally hard to solve in general. Quantum approximate optimization algorithm (QAOA), one of the most representative quantum-classical hybrid algorithms, is designed to solve combinatorial ...
Lixue Cheng, Yu-Qin Chen, Shi-Xin Zhang, Shengyu Zhang   +3 more
doaj   +1 more source

Enhancing Distributed State Estimation of Power Grid With a Simplified Quantum Algorithm

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper presents the application of the Harrow‐Hassidim‐Lloyd (HHL) algorithm and its simplified quantum circuit to distributed state estimation in power grids. The results show that the proposed approach successfully tackles distributed state estimation in a power grid, underscoring its potential as a practical quantum computing solution for this ...
Shyh‐Jier Huang, Po‐Wei Yang, Shen‐Kun Yen, Yong‐Tai Li   +3 more
wiley   +1 more source

Portfolio optimization with digitized counterdiabatic quantum algorithms

Physical Review Research, 2022
We consider digitized-counterdiabatic quantum computing as an advanced paradigm to approach quantum advantage for industrial applications in the NISQ era.
N. N. Hegade, P. Chandarana, K. Paul, Xi Chen, F. Albarrán-Arriagada, E. Solano   +5 more
doaj   +1 more source