Results 61 to 70 of about 3,959 (191)

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

РОЗВ’ЯЗАННЯ ЗАДАЧІ МАКСИМАЛЬНОГО РОЗРІЗУ ГРАФА ЗА ДОПОМОГОЮ КВАНТОВО-ГІБРИДНОГО АМПЛІТУДНО-СТОХАСТИЧНОГО АЛГОРИТМУ

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
Запропоновано новий квантовий алгоритм під назвою «квантово-гібридний амплітудно-стохастичний алгоритм» (QASPA), призначений для наближеного розв’язання задачі максимального розрізу графа.
Dmytro Sapozhnyk
doaj   +1 more source

From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz

, 2019
The next few years will be exciting as prototype universal quantum processors emerge, enabling implementation of a wider variety of algorithms. Of particular interest are quantum heuristics, which require experimentation on quantum hardware for their ...
Biswas, Rupak, Hadfield, Stuart, O'Gorman, Bryan, Rieffel, Eleanor G., Venturelli, Davide, Wang, Zhihui   +5 more
core   +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

Quantifying the impact of precision errors on quantum approximate optimization algorithms

Physical Review Research
The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical algorithm that seeks to achieve approximate solutions to optimization problems by iteratively alternating between intervals of controlled quantum evolution.
Gregory Quiroz, Paraj Titum, Phillip Lotshaw, Pavel Lougovski, Kevin Schultz, Eugene Dumitrescu, Itay Hen   +6 more
doaj   +1 more source

Simulating QAOA operation using Cirq and qsim quantum frameworks

Discrete and Continuous Models and Applied Computational Science
The problem of finding the lowest-energy state in the Ising model with a longitudinal magnetic field is studied for two- and three-dimensional lattices of various sizes using the Quantum Approximate Optimization Algorithm (QAOA).
Yuri G. Palii, Alla A. Bogolubskaya, Denis A. Yanovich   +2 more
doaj   +1 more source

Optimizing Ansatz Design in QAOA for Max-cut

CoRR, 2021
Quantum Approximate Optimization Algorithm (QAOA) is studied primarily to find approximate solutions to combinatorial optimization problems. For a graph with $n$ vertices and $m$ edges, a depth $p$ QAOA for the Max-cut problem requires $2\cdot m \cdot p$ CNOT gates. CNOT is one of the primary sources of error in modern quantum computers. In this paper,
Ritajit Majumdar, Dhiraj Madan, Debasmita Bhoumik, Dhinakaran Vinayagamurthy, Shesha Raghunathan, Susmita Sur-Kolay   +5 more
openaire   +2 more sources

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

Short-depth QAOA circuits and quantum annealing on higher-order ising models

npj Quantum Information
We present a direct comparison between QAOA (Quantum Alternating Operator Ansatz), and QA (Quantum Annealing) on 127 qubit problem instances.
Elijah Pelofske, Andreas Bärtschi, Stephan Eidenbenz   +2 more
doaj   +1 more source

Snapshot-QAOA: Extending QAOA to Quantum Hamiltonian Simulation

Abstract We present Snapshot-QAOA, a variation of the Quantum Approximate Optimization Algorithm (QAOA) that finds approximate minimum energy eigenstates of a large set of quantum Hamiltonians. Traditionally, QAOA targets the task of approximately solving combinatorial optimization problems. Snapshot-QAOA enables a significant expansion
Tate, Reuben, Langfitt, Quinn, Pelofske, Elijah, Kirmani, Ammar, Bärtschi, Andreas, Golden, John, Eidenbenz, Stephan   +6 more
openaire   +1 more source