superpolynomial

the algorithm achieves superpolynomial speedup over classical methods for this problem class.

researchers discovered superpolynomial growth in the complexity of certain lattice problems.

quantum computing offers superpolynomial advantages for specific cryptographic applications.

the superpolynomial separation between quantum and classical query complexity was proven.

machine learning models sometimes exhibit superpolynomial sample complexity requirements.

the theoretical framework suggests superpolynomial improvements in optimization techniques.

cryptographic protocols rely on problems that resist superpolynomial attacks from adversaries.

the computational hardness exhibits superpolynomial characteristics under certain assumptions.

complexity theorists analyze superpolynomial lower bounds to understand computational limits.

new approaches demonstrate superpolynomial scaling for large-scale data processing.

the proof establishes superpolynomial separations between different computational models.

quantum algorithms potentially provide superpolynomial advantages in simulation tasks.