Results 91 to 100 of about 74,156 (167)

Optimal PMU Placement via Quantum Optimization

IEEE Transactions on Smart Grid
Phasor Measurement Units (PMUs) are essential for real-time monitoring and improving grid observability. Determining the optimal PMU installation is critical, especially as the penetration of renewable energy resources increases, as the Optimal PMU Placement (OPMUP) can guarantee full system observability and reduce the installation cost.
Jiang, Y, Liang, Z, Li, Y, Morstyn, T
openaire   +1 more source

Performance analysis of a filtering variational quantum algorithm

New Journal of Physics
Even a minor boost in solving combinatorial optimization problems can greatly benefit multiple industries. Quantum computers, with their unique information processing capabilities, hold promise for delivering such enhancements.
Gabriel Marin-Sanchez, David Amaro
doaj   +1 more source

Connection between single-layer quantum approximate optimization algorithm interferometry and thermal distribution sampling

Frontiers in Quantum Science and Technology
The quantum approximate optimization algorithm (QAOA) was originally proposed to find approximate solutions to combinatorial optimization problems on quantum computers. However, the algorithm has also attracted interest for sampling purposes since it was
Pablo Díez-Valle, Diego Porras, Juan José García-Ripoll   +2 more
doaj   +1 more source

Quantum Optimization

Abstract Quantum computing is a new computational paradigm with the prospect of outperforming classical computing on many tasks. Optimization is frequently mentioned as a promising area for achieving a quantum advantage, i.e., solving a problem faster, more accurately, or more efficiently than classical computers. This chapter gives a
Daniel J. Egger, Heike Riel, Stefan Woerner, Christa Zoufal   +3 more
openaire   +2 more sources

Experimental demonstration of improved quantum optimization with linear Ising penalties

New Journal of Physics
The standard approach to encoding constraints in quantum optimization is the quadratic penalty method. Quadratic penalties introduce additional couplings and energy scales, which can be detrimental to the performance of a quantum optimizer.
Puya Mirkarimi, David C Hoyle, Ross Williams, Nicholas Chancellor   +3 more
doaj   +1 more source

The Quantum Optimization Benchmarking Library. [PDF]

Nat Comput Sci
Koch T, Bernal Neira DE, Chen Y, Cortiana G, Egger DJ, Heese R, Hegade NN, Gomez Cadavid A, Huang R, Itoko T, Kleinert T, Maciel Xavier P, Mohseni N, Montanez-Barrera JA, Nakano K, Nannicini G, O'Meara C, Pauckert J, Proissl M, Ramesh A, Schicker M, Shimada N, Takeori M, Valls V, Van Bulck D, Woerner S, Zoufal C.   +26 more
europepmc   +1 more source

QOMIC: quantum optimization for motif identification. [PDF]

Bioinform Adv
Ngo HM, Khatib T, Thai MT, Kahveci T.
europepmc   +1 more source

Quantum optimization algorithms for CT image segmentation from X-ray data. [PDF]

Sci Rep
Jun K, Lee H.
europepmc   +1 more source

Towards large-scale quantum optimization solvers with few qubits. [PDF]

Nat Commun
Sciorilli M, Borges L, Patti TL, García-Martín D, Camilo G, Anandkumar A, Aolita L.   +6 more
europepmc   +1 more source

Strategic Data Re-Uploads: A Pathway to Improved Quantum Classification Data Re-Uploading Strategies for Improved Quantum Classifier Performance. [PDF]

Entropy (Basel)
Aminpour S, Banad YM, Sharif SS.
europepmc   +1 more source