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Given a 64-bit positive integer $y$ and a set of $100$ $64$-bit positive integers: $X = \{ x_1, x_2, \dots, x_{100} \}$

I want to find a smallest possible $Z = \{z_1, z_2, \dots, z_n\} \subset X$, such that:

$\begin{align} y = z_1 ⊕ z_2 ⊕ \dots ⊕ z_n \end{align}$

if such a $Z$ exists.

Clearly there are $2^{100}$ possible subsets of $X$, so iterating through them would take too long.

Does anyone know of, or can anyone think of, some sort of dynamic programming solution or other feasible algorithm?

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    @J.D.: No, I think because it's XOR and not addition that it is not NP-Complete. I'm sure there is a solution that takes advantage of the independence of the bit positions in XOR, I just can't see it.2012-04-01

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If you introduce binary variables $c_i$ that are $1$ when $x_i\in Z$ and $0$ otherwise, you can write

$y=\bigoplus_ic_ix_i\;.$

This is a $64\times100$ system of linear equations over the field $\mathbb F_2$ for the $c_i$ that you can easily solve using Gaussian elimination; the number of steps is of the order of a million. If the $x_i$ have full rank $64$, which is almost certain to be the case if they're randomly chosen with uniform distribution, the solution space will have $36$ dimensions, so you just need to enumerate $2^{36}$ different solutions to find the optimal one; this is doable in reasonable time on a present-day computer.