Q-resolution and its variations provide the underlying proof
systems for the DPLL-based QBF solvers. While (long-distance) Q-resolution
models a conflict driven clause learning (CDCL) QBF solver, it is not
known whether the inverse is also true. This paper provides a negative
answer to this question. This contrasts with SAT solving, where CDCL
solvers have been shown to simulate resolution.