Quantum circuits for coherent multilayer neural network inference achieve quadratic to polylogarithmic speedups over classical methods depending on quantum data access models for inputs and weights.
Faster algorithms via approximation theory
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
A sieve-accelerated quadrature method using discrete Fourier transform enables the first exact privacy accounting for the 2020 Census DHC file under heterogeneous discrete Gaussian mechanisms with a claimed 1,824-fold speedup.
citing papers explorer
-
Accelerating Inference for Multilayer Neural Networks with Quantum Computers
Quantum circuits for coherent multilayer neural network inference achieve quadratic to polylogarithmic speedups over classical methods depending on quantum data access models for inputs and weights.
-
A Sieve-Accelerated Quadrature Method for Exact Privacy Accounting in the 2020 U.S. Decennial Census
A sieve-accelerated quadrature method using discrete Fourier transform enables the first exact privacy accounting for the 2020 Census DHC file under heterogeneous discrete Gaussian mechanisms with a claimed 1,824-fold speedup.