Results 11 to 20 of about 1,254,139 (165)

Entanglement in a Quantum Annealing Processor [PDF]

Physical Review X, 2014
Entanglement lies at the core of quantum algorithms designed to solve problems that are intractable by classical approaches. One such algorithm, quantum annealing (QA), provides a promising path to a practical quantum processor. We have built a series of
T. Lanting, A. J. Przybysz, A. Yu. Smirnov, F. M. Spedalieri, M. H. Amin, A. J. Berkley, R. Harris, F. Altomare, S. Boixo, P. Bunyk, N. Dickson, C. Enderud, J. P. Hilton, E. Hoskinson, M. W. Johnson, E. Ladizinsky, N. Ladizinsky, R. Neufeld, T. Oh, I. Perminov, C. Rich, M. C. Thom, E. Tolkacheva, S. Uchaikin, A. B. Wilson, G. Rose   +25 more
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Inverse Reticle Optimization With Quantum Annealing and Hybrid Solvers

IEEE Access
Reticle optimization is a computationally demanding task in optical microlithography for advanced semiconductor fabrication. In this study, we explore the effectiveness of D-Wave’s quantum annealing (QA) and hybrid steepest descent (SD) solvers in
Po-Hsun Fang, Yan-Syun Chen, Jhih-Sheng Wu, Peichen Yu   +3 more
doaj   +2 more sources

Robustness of optimal quantum annealing protocols

New Journal of Physics
Noise in quantum computing devices poses a key challenge in their realization. In this paper, we study the robustness of optimal quantum annealing (QA) protocols against coherent control errors, which are multiplicative Hamiltonian errors causing ...
Niklas Funcke, Julian Berberich
doaj   +2 more sources

Stochastic Simulated Quantum Annealing for Fast Solution of Combinatorial Optimization Problems [PDF]

IEEE Access, 2023
Combinatorial optimization problems are frequently classified as NP-hard, which means that the time needed to find the optimal solution generally increases exponentially with the problem size.
Naoya Onizawa, Ryoma Sasaki, Duckgyu Shin, Warren J. Gross, Takahiro Hanyu   +4 more
doaj   +2 more sources

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
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Enhancing model‐based acoustic localisation using quantum annealing

IET Radar, Sonar & Navigation
Model‐based acoustic localisation estimates the locations of underwater objects by comparing sensor measurements with model predictions. To obtain high quality predictions, propagation models need to be run for a large set of environmental parameters ...
Robert Wezeman, Tariq Bontekoe, Sander vonBenda‐Beckmann, Frank Phillipson   +3 more
doaj   +2 more sources

Quantum annealing-assisted lattice optimization

npj Computational Materials
High Entropy Alloys (HEAs) have drawn great interest due to their exceptional properties compared to conventional materials. The configuration of HEA system is considered a key to their superior properties, but exhausting all possible configurations of ...
Zhihao Xu, Wenjie Shang, Seongmin Kim, Eungkyu Lee, Tengfei Luo   +4 more
doaj   +2 more sources

New Advanced Computing Architecture for Cryptography Design and Analysis by D-Wave Quantum Annealer

Tsinghua Science and Technology, 2022
Universal quantum computers are far from achieving practical applications. The D-Wave quantum computer is initially designed for combinatorial optimizations.
Xiangmin Ji, Baonan Wang, Feng Hu, Chao Wang, Huanguo Zhang   +4 more
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Spin relaxation and carrier recombination in GaInNAs multiple quantum wells [PDF]

, 2007
Electron spin relaxation and carrier recombination were investigated in gallium indium nitride arsenide (GaInNAs) multiple quantum wells, using picosecond optical pulses.
Reith, Charis
core   +2 more sources

CONVOLUTIONAL DECODERS BASED ON QUANTUM ANNEALING [PDF]

, 2021
This research proposes a new method of decoding convolutional codes using quantum computers. The proposed method obtains maximum likelihood (ML) estimate of the transmitted codeword using quantum annealing (QA).
Rysbekov, Ilyas
core   +1 more source