We show that the linear or quadratic 0/1 program[P:quadmin{ c^Tx+x^TFx : :A,x =b;:xin{0,1}^n},]can be formulated as a MAX-CUT problem whose associated graph is simply related to the matrices $F$ and $A^TA$.Hence the whole arsenal of approximation tec
hniques for MAX-CUT can be applied. We also compare the lower boundof the resulting semidefinite (or Shor) relaxation with that of the standard LP-relaxation and the first semidefinite relaxationsassociated with the Lasserre hierarchy and the copositive formulations of $P$.
