  We establish the Freidlin--Wentzell Large Deviation Principle (LDP) for the
Stochastic Heat Equation with multiplicative noise in one spatial dimension.
That is, we introduce a small parameter $ \sqrt{\varepsilon} $ to the noise,
and establish an LDP for the trajectory of the solution. Such a
Freidlin--Wentzell LDP gives the short-time, one-point LDP for the KPZ equation
in terms of a variational problem. Analyzing this variational problem under the
narrow wedge initial data, we prove a quadratic law for the near-center tail
and a $ \frac52 $ law for the deep lower tail. These power laws confirm
existing physics predictions Kolokolov and Korshunov (2007), Kolokolov and
Korshunov (2009), Meerson, Katzav, and Vilenkin (2016), Le Doussal, Majumdar,
Rosso, and Schehr (2016), and Kamenev, Meerson, and Sasorov (2016).
