Introduction
QUBO
An optimization problem is in its QUBO form if it is written as
\[\begin{array}{rl} \min & \alpha \left[ \mathbf{x}'\mathbf{Q}\,\mathbf{x} + \mathbf{\ell}'\mathbf{x} + \beta \right] \\ \text{s.t.} & \mathbf{x} \in S \cong \mathbb{B}^{n} \end{array}\]
with linear terms $\mathbf{\ell} \in \mathbb{R}^{n}$ and quadratic $\mathbf{Q} \in \mathbb{R}^{n \times n}$. $\alpha, \beta \in \mathbb{R}$ are, respectively, the scaling and offset factors.
The MOI-JuMP optimizers defined using the QUBODrivers.AbstractSampler{T} <: MOI.AbstractOptimizer interface only support models given in the QUBO form. QUBODrivers.jl employs QUBOTools on many tasks involving data management and querying. It is worth taking a look at QUBOTool's docs.