  A 100 TeV proton-proton collider will be an extremely effective way to probe
the electroweak sector of the Minimal Supersymmetric Standard Model (MSSM). In
this paper, we describe a search strategy for discovering pair-produced
Higgsino-like next-to-lightest supersymmetric particles (NLSPs) at a 100 TeV
hadron collider that decay to Bino-like lightest supersymmetric particle (LSP)
via intermediate Z and SM Higgs boson that in turn decay to a pair of leptons
and a pair of b-quarks respectively: $\widetilde{N}_2^0\widetilde{N}_3^0
\rightarrow (Z\widetilde{N}_1^0)(h\widetilde{N}_1^0)\rightarrow
bb\ell\ell+\widetilde{N}_1^0\widetilde{N}_1^0$. In addition, we examine the
potential for machine learning techniques to boost the power of our searches.
Using this analysis, Higgsinos up to 1.4 TeV can be discovered at $5\sigma$
level for a Bino with mass of about 0.9 TeV using 3000 fb$^{-1}$ of data.
Additionally, Higgsinos up to 1.8 TeV can be excluded at 95% C.L. for Binos
with mass of about 1.4 TeV. This search channel extends the multi-lepton search
limits, especially in the region where the mass difference between the Higgsino
NLSPs and the Bino LSP is small.
