It is regularly claimed that quantum computers will bring breakthrough progress in solving challenging combinatorial optimization problems relevant in practice.
Rehfeldt, Daniel +2 more
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Control-Anchored QUBO Clustering Reveals Control-Distant Postural Control Patterns in Motion Capture Balance Signals After COVID-19. [PDF]
Sensors (Basel)Kunapinun A +4 more
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Impact of GCR and SPE on space radiation shielding: OLTARIS simulation and quantum optimization of material selection using quantum algorithms. [PDF]
iScienceLalwani K +4 more
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Hybrid artificial intelligence and quantum annealing as an optimization layer in drug discovery. [PDF]
Patterns (N Y)Ou CH, Liao JC, Huang CY, Lee OK.
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Towards higher order oscillatory Ising machines. [PDF]
Sci RepProva NS +5 more
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Quantum Single-Path Transmission Optimization of Complex Networks. [PDF]
Entropy (Basel)Wang Z, Gao F, Xu Y, Wang X, Fang J.
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Two-Step QAOA: Enhancing Quantum Optimization by Decomposing One-Hot Constraints in QUBO Formulations [PDF]
The Quantum Approximate Optimization Algorithm (QAOA) has shown promise in solving combinatorial optimization problems by leveraging quantum computational power.
Minato, Yuichiro
core
Joint optimization of electric vehicle routes and charging locations through learning charge constraints using QUBO solvers. [PDF]
Sci RepOkada A, Otaki K, Yoshida H.
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Constructing and characterizing trillion-scale combinatorial chemical library. [PDF]
J CheminformSu J, Song FV, Huang D, Liao M.
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The Quantum Optimization Benchmarking Library. [PDF]
Nat Comput SciKoch T +26 more
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