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
Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems like Max-Cut
Stefan Boettcher
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
Noise-Resilient Quantum Power Flow
Fei Feng, Yifan Zhou, Peng Zhang
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
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
Optimizing the depth of variational quantum algorithms is strongly QCMA-hard to approximate
Lennart Bittel, Sevag Gharibian, Martin Kliesch
Portfolio optimization with digitized counterdiabatic quantum algorithms
N. N. Hegade, P. Chandarana, K. Paul, Xi Chen, F. Albarrán-Arriagada, E. Solano
Presence and Absence of Barren Plateaus in Tensor-Network Based Machine Learning
Zidu Liu, Li-Wei Yu, L.-M. Duan, Dong-Ling Deng
QDataSet, quantum datasets for machine learning.
Perrier E, Youssry A, Ferrie C.
QuAnt: Quantum Annealing with Learnt Couplings
Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik
Quantum Adversarial Learning in Emulation of Monte-Carlo Methods for Max-cut Approximation: QAOA is not optimal
Cem M. Unsal, Lucas T. Brady