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New LOTUS Framework Boosts Quantum Optimization Efficiency by 27.2%

1/20/2026

Summary

Story summary

Viettel High Technology Industries Corporation researchers introduced LOTUS, a framework to enhance Quantum Approximate Optimization Algorithms (QAOA).
LOTUS uses a Hybrid Fourier-Autoregressive mapping to convert problems into a low-dimensional dynamical system.
The method yields up to 27.2% higher expectation values than L-BFGS-B and COBYLA.
It also reduces iterations by over 90% compared with Powell and SLSQP.
Future research will explore LOTUS's application to other NP-hard problems beyond MaxCut.

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Story summary

Viettel High Technology Industries Corporation researchers introduced LOTUS, a framework to enhance Quantum Approximate Optimization Algorithms (QAOA).
LOTUS uses a Hybrid Fourier-Autoregressive mapping to convert problems into a low-dimensional dynamical system.
The method yields up to 27.2% higher expectation values than L-BFGS-B and COBYLA.
It also reduces iterations by over 90% compared with Powell and SLSQP.
Future research will explore LOTUS's application to other NP-hard problems beyond MaxCut.