The identification of P with feasibility is model-dependent, yet Turing machines do not accurately represent the parallel or quantum computational architectures available in practice.

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Feasibility(as used in logic and computation): Whether something is actually possible to do in practice, considering real-world limitations like time and resources—not just theoretically possible.
Model-dependent(logic and philosophy of science): Dependent on or relative to a specific framework or set of assumptions; true or valid only within a particular model, rather than being universally true.
P (in computational theory)(as used in computer science and computational theory): A category of computational problems that can be solved quickly by a computer—think of it as the set of problems a machine can answer in a reasonable amount of time.
Parallel computational architectures(as used in computer science): Computer systems that solve problems by processing multiple tasks simultaneously on different processors, rather than one task at a time.

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