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Electronic Colloquium on Computational Complexity

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TR26-043 | 1st April 2026
Deepanshu Kush

An Unconditional Barrier for Proving Multilinear Algebraic Branching Program Lower Bounds

Since the breakthrough superpolynomial multilinear formula lower bounds of Raz (Theory of Computing 2006), proving such lower bounds against multilinear algebraic branching programs (mABPs) has been a longstanding open problem in algebraic complexity theory. All known multilinear lower bounds rely on the min-partition rank method, and the best bounds against ... more >>>


TR26-042 | 1st February 2026
Prateek Kulkarni

Entanglement-Dependent Error Bounds for Hamiltonian Simulation

We establish tight connections between entanglement entropy and the approximation error in Trotter–Suzuki product formulas for Hamiltonian simulation. Product formulas remain the workhorse of quantum simulation on near-term devices, yet standard error analyses yield worst-case bounds that can vastly overestimate the resources required for structured problems.

For systems governed by ... more >>>


TR26-041 | 18th March 2026
Nikolai Chukhin

A Note on Conditional Complexity Hardness of Matrix Rigidity and Tensor Rank

Recently, together with Kulikov, Mihajlin, and Smirnova (STACS 2026), we gave conditional constructions of functions with large monotone circuit complexity, matrices with high rigidity, and $3$-dimensional tensors of strongly superlinear rank.
In this note, I strengthen the rigidity construction under the same assumption and, as a direct consequence, immediately obtain ... more >>>



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