Results 41 to 50 of about 2,386 (159)

Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers

, 2019
Recent developments in engineering and algorithms have made real-world applications in quantum computing possible in the near future. Existing quantum programming languages and compilers use a quantum assembly language composed of 1- and 2-qubit (quantum
Chong, Fred T., Gokhale, Pranav, Hoffman, Henry, Leung, Nelson, Rossi, Zane, Schuster, David I., Shi, Yunong   +6 more
core   +1 more source

End‐to‐End Portfolio Optimization with Hybrid Quantum Annealing

Advanced Quantum Technologies, Volume 9, Issue 4, April 2026.
This works presents a hybrid quantum‐classical framework for portfolio optimization that combines quantum assisted asset selection and rebalancing with classical weight allocation. The approach processes real market data, embeds it into Quadratic Unconstrained Binary Optimization formulations, and evaluates performance within a unified workflow ...
Sai Nandan Morapakula, Sangram Deshpande, Rakesh Yata, Rushikesh Ubale, Uday Wad, Kazuki Ikeda   +5 more
wiley   +1 more source

Prog-QAOA: Framework for resource-efficient quantum optimization through classical programs [PDF]

Quantum
Current state-of-the-art quantum optimization algorithms require representing the original problem as a binary optimization problem, which is then converted into an equivalent cost Hamiltonian suitable for the quantum device.
Bence Bakó, Adam Glos, Özlem Salehi, Zoltán Zimborás   +3 more
doaj   +1 more source

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

Elementary proof of QAOA convergence

New Journal of Physics
The quantum alternating operator ansatz (QAOA) and its predecessor, the quantum approximate optimization algorithm, are one of the most widely used quantum algorithms for solving combinatorial optimization problems.
Lennart Binkowski, Gereon Koßmann, Timo Ziegler, René Schwonnek   +3 more
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

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

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

Quantum Approximate Optimization Algorithm for the Max-Cut Problem: JavaScript Programming Language Implementation

Proceedings of the International Conference on Applied Innovations in IT
In this paper, we present the implementation of the Quantum Approximate Optimization Algorithm (QAOA) for the Max-Cut problem using the JavaScript programming language.
Dmytro Sapozhnyk
doaj   +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