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- Quantum%20computing%20can%20provide%20polynomial%20to%20exponential%20speedups%20for%20computing%20graph%20properties%20essential%20to%20ecological%20network%20analysis. about Q17995793 assertion.
- Quantum%20computing%20can%20provide%20polynomial%20to%20exponential%20speedups%20for%20computing%20graph%20properties%20essential%20to%20ecological%20network%20analysis. about Q17995793 assertion.
- Quantum%20approximate%20optimization%20algorithms%20outperform%20classical%20methods%20for%20disjoint%20network%20motif%20identification%20in%20biological%20networks. about Q17995793 assertion.
- The%20QOMIC%20algorithm%20achieves%20up%20to%2063.6%25%20F1%20score%20improvement%20over%20classical%20methods%20when%20identifying%20network%20motifs%20in%20gene%20regulatory%20networks. about Q17995793 assertion.
- Quantum%20Monte%20Carlo%20methods%20can%20compute%20expected%20values%20quadratically%20faster%20than%20classical%20counterparts%20for%20ecological%20simulations. about Q17995793 assertion.
- Quantum%20linear%20regression%20algorithms%20can%20scale%20logarithmically%20with%20the%20number%20of%20observations%2C%20offering%20potential%20exponential%20speedup%20over%20classical%20methods. about Q17995793 assertion.
- Quantum%20algorithms%20for%20Gaussian%20process%20regression%20can%20achieve%20exponential%20speedup%20when%20the%20covariance%20matrix%20is%20sparse. about Q17995793 assertion.
- Carleman%20linearization%20enables%20quantum%20algorithms%20to%20be%20applied%20to%20nonlinear%20ecological%20models%20such%20as%20Lotka-Volterra%20systems. about Q17995793 assertion.
- Quantum%20algorithms%20can%20accelerate%20community%20detection%20in%20ecological%20networks%20by%20optimizing%20network%20modularity. about Q17995793 assertion.
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- vbae208 P921 Q17995793 assertion.
- 2504.03866 P921 Q17995793 assertion.