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Electronic Colloquium on Computational Complexity

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REPORTS > AUTHORS > FORAM LAKHANI:
All reports by Author Foram Lakhani:

TR26-185 | 15th September 2026
Foram Lakhani, Partha Mukhopadhyay

Approximating commutative rank of matrix spaces in NC

Given any fixed constant $0<\varepsilon<1$ and a matrix space
$\mathcal{B}=\langle B_1,\ldots,B_m\rangle\le\mathbb{Q}^{n\times n}$,
we give a deterministic $NC^3$ algorithm that outputs a matrix \(A\in\mathcal{B}\) such that $rank(A)\geq (1-\varepsilon) crk(\mathcal{B})$,
where $crk(\mathcal{B})$ denotes the maximum rank of a matrix in $\mathcal{B}$. This complements the recent breakthrough of Chatterjee, Ghosh, Gurjar, Raj, and ... more >>>


TR26-173 | 10th September 2026
Foram Lakhani, Nitin Saxena

Matrix identities are hard: Fast blackbox PIT for noncommutative exponential-size constant-depth homogeneous circuits

In this work we give a randomized blackbox polynomial identity testing (PIT) algorithm for constant-depth homogeneous noncommutative circuits, with poly-logarithmic time complexity in the circuit size. In fact, we show that the polynomial computable by such a depth-$(\Delta-1)$ circuit of size $s$ cannot be a polynomial identity for the $O(\log ... more >>>


TR26-120 | 18th July 2026
Foram Lakhani, Partha Mukhopadhyay

Hitting point for sparse noncommutative polynomials

Revisions: 2

For every $n,s \geq 1$, we construct a matrix tuple $(A_1,\ldots,A_n) \in \mathrm{M}_s(\mathbb{Z})^n$ in deterministic $\mathrm{poly}(n,s)$ time such that every noncommutative polynomial $$f \in \mathbb{C}\langle x_1,x_2,\ldots,x_n\rangle$$ of sparsity at most $s$ satisfies $f = 0$ if and only if $f(A_1,A_2,\ldots,A_n) = 0$. The bit complexity of the entries in ... more >>>




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