  A sign-linear one bit map from the $ d$-dimensional sphere $ \mathbb S ^{d}$
to the $ n$-dimensional Hamming cube $ H^n= \{ -1, +1\} ^{n}$ is given by $$ x
\to \{ \mbox{sign} (x \cdot z_j) \;:\; 1\leq j \leq n\} $$ where $ \{z_j\}
\subset \mathbb S ^{d}$. For $ 0 < \delta < 1$, we estimate $ N (d, \delta )$,
the smallest integer $ n$ so that there is a sign-linear map which has the $
\delta $-restricted isometric property, where we impose normalized geodesic
distance on $ \mathbb S ^{d}$, and Hamming metric on $ H^n$. Up to a
polylogarithmic factor, $ N (d, \delta ) \approx \delta^{-2 + \frac2{d+1}}$,
which has a dimensional correction in the power of $ \delta $. This is a
question that arises from the one bit sensing literature, and the method of
proof follows from geometric discrepancy theory. We also obtain an analogue of
the Stolarsky invariance principle for this situation, which implies that
minimizing the $L^2$ average of the embedding error is equivalent to minimizing
the discrete energy $\sum_{i,j} \big( \frac12 - d(z_i,z_j) \big)^2$, where $d$
is the normalized geodesic distance.
