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Electronic Colloquium on Computational Complexity

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TR24-026 | 15th February 2024
Pavel Hrubes

A subquadratic upper bound on sum-of-squares compostion formulas

Revisions: 1

For every $n$, we construct a sum-of-squares identitity
\[ (\sum_{i=1}^n x_i^2) (\sum_{j=1}^n y_j^2)= \sum_{k=1}^s f_k^2\,,\]
where $f_k$ are bilinear forms with complex coefficients and $s= O(n^{1.62})$. Previously, such a construction was known with $s=O(n^2/\log n)$.
The same bound holds over any field of positive characteristic.

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TR24-025 | 13th February 2024
Mason DiCicco, Vladimir Podolskii, Daniel Reichman

Nearest Neighbor Complexity and Boolean Circuits

Revisions: 1

A nearest neighbor representation of a Boolean function $f$ is a set of vectors (anchors) labeled by $0$ or $1$ such that $f(x) = 1$ if and only if the closest anchor to $x$ is labeled by $1$. This model was introduced by Hajnal, Liu, and TurĂ¡n (2022), who studied ... more >>>


TR24-024 | 14th February 2024
Changrui Mu, Shafik Nassar, Ron Rothblum, Prashant Nalini Vasudevan

Strong Batching for Non-Interactive Statistical Zero-Knowledge

A zero-knowledge proof enables a prover to convince a verifier that $x \in S$, without revealing anything beyond this fact. By running a zero-knowledge proof $k$ times, it is possible to prove (still in zero-knowledge) that $k$ separate instances $x_1,\dots,x_k$ are all in $S$. However, this increases the communication by ... more >>>



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