We present the existence, uniqueness, and regularity of a strong solution to a superlinear stochastic partial differential equation (SPDE) with the random fractional Laplacians:whereẆ is a space-time white noise, α ∈ (1, 2), and λ ∈ [0, α/2 − 1/2). The leading coefficient a satisfies the ellipticity condition and depends on (ω, t). The lower-order coefficients b, c, and ξ depend on (ω, t, x). The coefficients a ,b, c, and ξ are bounded. The initial data u 0 depends on (ω, x). The unique existence of local solutions to the SPDE follows from the unique solvability of a general Lipschitz case. We prove a Hölder embedding theorem for solution space H γ p (τ ) and maximum principle for SPDEs with the random fractional Laplacians to extend local solutions to a global one. The range of λ ∈ [0, α/2 − 1/2) depending on the highest order of the fractional Laplacian is given as a sufficient condition for the existence. When α ↑ 2, the condition is in accordance with the one for unique solvability of Laplacian case. Moreover, the Hölder embedding theorem provides maximal Hölder regularity of the solution u(ω, t, x), which has α times as much regularity in space as in time; for T ∈ (0, ∞) and small ε > 0, almost surely