Connecting information entropy to the prime number theorem for compression of numbers?

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  1. Prime number theorem states how often primes occur (approx. how densely they are distributed).
  2. The Shannon theorem of information entropy gives us a lower bound of how much data is at least required to store some information.
  3. Prime factorization theorem allows us to uniquely map each positive integer number to a set of prime exponents.

Can these things be combined somehow to create a number system which is on average more efficient, than say for example the binary number system?