Quantum Optimization

58 papers for year 2022

Quantum Optimization Research Context

This Quantum Articles category organizes published quantum research papers so readers can browse focused work by topic, source, and year.

Showing 25-36 of 58

Improving the Efficiency of Payments Systems Using Quantum Computing

Christopher McMahon, Donald McGillivray, Ajit Desai, Francisco Rivadeneyra, Jean-Paul Lam, Thomas Lo, Danica Marsden, Vladimir Skavysh

2022 arXiv arXiv preprint

Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems like Max-Cut

Stefan Boettcher

2022 arXiv arXiv preprint

Navigating the dynamic noise landscape of variational quantum algorithms with QISMET

Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker, Tejas Kannan, Nathan Earnest, Ali Javadi-Abhari, Henry Hoffmann, Frederic T. Chong

2022 arXiv arXiv preprint

Noise-Resilient Quantum Power Flow

Fei Feng, Yifan Zhou, Peng Zhang

2022 arXiv arXiv preprint

On the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization

Byron Tasseff, Tameem Albash, Zachary Morrell, Marc Vuffray, Andrey Y. Lokhov, Sidhant Misra, Carleton Coffrin

2022 arXiv arXiv preprint

OpenQAOA -- An SDK for QAOA

Vishal Sharma, Nur Shahidee Bin Saharan, Shao-Hen Chiew, Ezequiel Ignacio Rodríguez Chiacchio, Leonardo Disilvestro, Tommaso Federico Demarie, Ewan Munro

2022 arXiv arXiv preprint

Optimizing the depth of variational quantum algorithms is strongly QCMA-hard to approximate

Lennart Bittel, Sevag Gharibian, Martin Kliesch

2022 arXiv arXiv preprint

Portfolio optimization with digitized counterdiabatic quantum algorithms

N. N. Hegade, P. Chandarana, K. Paul, Xi Chen, F. Albarrán-Arriagada, E. Solano

2022 Crossref Physical Review Research

Presence and Absence of Barren Plateaus in Tensor-Network Based Machine Learning

Zidu Liu, Li-Wei Yu, L.-M. Duan, Dong-Ling Deng

2022 Crossref Physical Review Letters

QDataSet, quantum datasets for machine learning.

Perrier E, Youssry A, Ferrie C.

2022 Europe PMC Sci Data

QuAnt: Quantum Annealing with Learnt Couplings

Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik

2022 arXiv arXiv preprint

Quantum Adversarial Learning in Emulation of Monte-Carlo Methods for Max-cut Approximation: QAOA is not optimal

Cem M. Unsal, Lucas T. Brady

2022 arXiv arXiv preprint