most citedNear-Optimal Time-Sparsity Trade-Offs for Solving Noisy Linear Equations

1 citations · 2 across the 2 of their papers we have counts for

collaborators

8 papers

quant-ph2025

Average-Case Complexity of Quantum Stabilizer Decoding

Andrey Boris Khesin, Jonathan Z. Lu, Alexander Poremba +2

Random classical linear codes are widely believed to be hard to decode. While slightly sub-exponential time algorithms exist when the coding rate vanishes sufficiently rapidly, all…

quant-ph2025

Asymptotically Good Quantum Codes with Addressable and Transversal Non-Clifford Gates

Zhiyang He, Vinod Vaikuntanathan, Adam Wills +1

Constructing quantum codes with good parameters and useful transversal gates is a central problem in quantum error correction. In this paper, we continue our work in arXiv:2502.018…

stat.CO2025

Adaptive Robustness of Hypergrid Johnson-Lindenstrauss

Andrej Bogdanov, Alon Rosen, Neekon Vafa +1

Johnson and Lindenstrauss (Contemporary Mathematics, 1984) showed that for , a scaled random projection from to is an approximate…

quant-ph2025

Quantum Codes with Addressable and Transversal Non-Clifford Gates

Zhiyang He, Vinod Vaikuntanathan, Adam Wills +1

The development of quantum codes with good error correction parameters and useful sets of transversal gates is a problem of major interest in quantum error-correction. Abundant pri…

math.ST2025

Symmetric Perceptrons, Number Partitioning and Lattices

Neekon Vafa, Vinod Vaikuntanathan

The symmetric binary perceptron () problem with parameter is an average-case search problem defined as follows: given a random Gau…

cs.CC20241 cited

Near-Optimal Time-Sparsity Trade-Offs for Solving Noisy Linear Equations

Kiril Bangachev, Guy Bresler, Stefan Tiegel +1

We present a polynomial-time reduction from solving noisy linear equations over in dimension with a un…