Minimum Moves for Tower of Hanoi with 64 Rings

Tower of Hanoi with 64 Rings is an easy quant interview question on Algorithms.

Difficulty Easy Topic Algorithms

This classic Tower of Hanoi variant asks about moving a large, ordered stack of rings between three poles under strict stacking rules. The candidate must recognize the combinatorial structure of the task and reason about how the constraint on ring ordering drives the sequence of moves. Although framed with a specific number of rings, the real challenge is to generalize how the number of moves scales as the problem size grows, and then specialize that understanding back to the concrete instance. This style of question often appears in algorithm interviews and in screening for roles that value comfort with recursion and simple state-space reasoning.

The solution leans on identifying and formalizing a recurrence relation and then solving it, either by pattern recognition or by induction. An interviewer is watching whether the candidate can articulate the recursive decomposition clearly, derive a closed-form expression from the recurrence, and reason about exponential growth. They are also paying attention to off-by-one errors, the ability to justify each step rigorously, and whether the candidate can discuss time complexity and scaling behavior beyond the specific numeric answer.

What it tests

This problem class is governed by the principle of recursive decomposition, where a complex task is broken into smaller, structurally identical subtasks. Specifically, in the Tower of Hanoi, moving `n` rings requires first moving the top `n-1` rings out of the way, then moving the largest ring, and finally moving the `n-1` rings onto the largest ring. The constraint that no heavier ring can be placed atop a lighter one forces this recursive structure: you are always bottlenecked by the need to clear the way for the largest remaining ring. The exponential growth in the number of moves arises because each additional ring doubles the work required (since you must move all smaller rings twice—once away, once back—plus the one move for the largest ring). This pattern holds because the rules create dependencies: each ring's move is contingent on the correct placement of all lighter rings.

Practise this question with written feedback, or hear it in a spoken mock interview.

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