You can model a Quantum computer running on problems of small size n, with a parallel computer with 2^n processors. Suppose you have a Quantum computer that runs only on inputs of size n or less (for no reason :P), then any such computers can be modeled with a network of 2^n parallel processors, albeit probably with some overhead.
Hence you can say that you can model any Quantum Computer running on any input (inputs have finite size) with a massive parallel network. Of course i haven't heard that Quantum Computers have restricted input size, so if a quantum computer can run on inputs of any size, you'd need an infinitely large parallel network to be able to do whatever that Quantum Computer can (as fast).
This means you can model a run of an algorithm on an input of finite size on a Quantum Computer with a Turing Machine, but you can't create a Turing Machine that is a Quantum Computer. The way i picture a Quantum Computer is as a machine that can dynamically allocate a parallel Turing Machine network of of any size, and use it. This is something a Turing Machine can't do, because a Turing Machine is either sequential or finitely parallel, so it may be able to create such a network of any size, but will only be able to use it sequentially or in a finitely parallel manner. However the difference pointed out here is only in speed of execution, which doesn't go against their equivalence.