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This paper investigates the experimental performance of a discrete portfolio optimization problem relevant to the financial services industry on the gate-model of quantum computing.
“Portfolio Selection”
Harry Markowitz · 1952
Earlier work this paper cites.
“Heuristic algorithms for the portfolio selection problem with minimum transaction lots”
Renata Mansini and Maria Speranza · 1999
Earlier work this paper cites.
“A Quantum Approximate Optimization Algorithm”, 2014
E. Farhi, J. Goldstone and S. Gutmann · 2014
Earlier work this paper cites.
“Ising formulations of many NP problems”
Andrew Lucas · 2014
Earlier work this paper cites.
“Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer”
Gili Rosenberg et al · 2016
Earlier work this paper cites.
“Quantum Annealing for Constrained Optimization”
Itay Hen and Federico. Spedalieri · 2016
Cited alongside, same era.
“Out-of-Sample Performance Evaluation of Markowitz’s Discrete Portfolio Optimisation via Adiabatic Quantum Optimization (AQO)”
J. Chan and T. Cook · 2016
Cited alongside, same era.
“The Quantum Approximization Algorithm for MaxCut: A Fermionic View”, 2017
Z. Wang, S. Hadfield, Z. Jiang and E.G. Rieffel · 2017
Cited alongside, same era.
“CBA steps into the future with quantum computing simulator”
Paul Smith · 2017
Cited alongside, same era.
“Quantum Computing in the NISQ era and beyond”
John Preskill · 2018
Cited alongside, same era.
“Quantum computing for finance: overview and prospects”
Roman Orus, Samuel Mugel and Enrique Lizaso · 2018
Later among the works it cites.
“Quantum computational finance: quantum algorithm for portfolio optimization”
Patrick Rebentrost and Seth Lloyd · 2018
Later among the works it cites.
Leo Zhou et al · 2018
Later among the works it cites.
“Quantum Finance - The road to business applications”
Marco Paini · 2018
Later among the works it cites.
“From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz”
Stuart Hadfield et al · 2019
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