  The Sum of Square Roots (SSR) problem is the following computational problem:
Given positive integers $a_1, \dots, a_k$, and signs $\delta_1, \dots, \delta_k
\in \{-1, 1\}$, check if $\sum_{i=1}^k \delta_i \sqrt{a_i} > 0$. The problem is
known to have a polynomial time algorithm on the real RAM model of computation,
however no sub-exponential time algorithm is known in the bit or Turing model
of computation. The precise computational complexity of SSR has been a
notorious open problem \cite{ggj} over the last four decades. The problem is
known to admit an upper bound in the third level of the \emph{Counting
Hierarchy}, i.e., $\CHtwo$ and no non-trivial lower bounds are known. Even when
the input numbers are \emph{small}, i.e., given in \emph{unary}, no better
complexity bound was known prior to our work. In this paper, we show that the
unary variant (USSR) of the sum of square roots problem is considerably easier
by giving a $P/poly$ upper bound.
