Relaxed locally correctable codes with improved parameters
Locally decodable codes (LDCs) are error-correcting codes $ C:\Sigma^ k\to\Sigma^ n $ that
admit a local decoding algorithm that recovers each individual bit of the message by …
admit a local decoding algorithm that recovers each individual bit of the message by …
Relaxed locally correctable codes with nearly-linear block length and constant query complexity
Locally correctable codes (LCCs) are error correcting codes which admit local algorithms
that correct any individual symbol of a corrupted codeword via a minuscule number of …
that correct any individual symbol of a corrupted codeword via a minuscule number of …
Smooth and strong PCPs
O Paradise - computational complexity, 2021 - Springer
Probabilistically checkable proofs (PCPs) can be verified based only on a constant amount
of random queries, such that any correct claim has a proof that is always accepted, and …
of random queries, such that any correct claim has a proof that is always accepted, and …
A Structural Theorem for Local Algorithms with Applications to Coding, Testing, and Verification
We prove a general structural theorem for a wide family of local algorithms, which includes
property testers, local decoders, and probabilistically checkable proofs of proximity. Namely …
property testers, local decoders, and probabilistically checkable proofs of proximity. Namely …
Robustly self-ordered graphs: Constructions and applications to property testing
O Goldreich, A Wigderson - TheoretiCS, 2022 - theoretics.episciences.org
A graph G is called self-ordered (aka asymmetric) if the identity permutation is its only
automorphism. Equivalently, there is a unique isomorphism from G to any graph that is …
automorphism. Equivalently, there is a unique isomorphism from G to any graph that is …
Exact Algorithms and Lower Bounds for Stable Instances of Euclidean k-MEANS
We investigate the complexity of solving stable or perturbation-resilient instances of k-means
and k-median clustering in fixed dimension Euclidean metrics (or more generally doubling …
and k-median clustering in fixed dimension Euclidean metrics (or more generally doubling …
Hamiltonian sparsification and gap-simulations
D Aharonov, L Zhou - arXiv preprint arXiv:1804.11084, 2018 - arxiv.org
Analog quantum simulations---simulations of one Hamiltonian by another---is one of the
major goals in the noisy intermediate-scale quantum computation (NISQ) era, and has many …
major goals in the noisy intermediate-scale quantum computation (NISQ) era, and has many …
Testing graphs in vertex-distribution-free models
O Goldreich - Proceedings of the 51st Annual ACM SIGACT …, 2019 - dl.acm.org
Prior studies of testing graph properties presume that the tester can obtain uniformly
distributed vertices in the tested graph (in addition to obtaining answers to the some type of …
distributed vertices in the tested graph (in addition to obtaining answers to the some type of …
Universal locally verifiable codes and 3-round interactive proofs of proximity for CSP
O Goldreich, T Gur - Theoretical computer science, 2021 - Elsevier
Universal locally testable codes (universal-LTC s), recently introduced in our companion
paper (CJTCS, 2018), are codes that admit local tests for membership in numerous …
paper (CJTCS, 2018), are codes that admit local tests for membership in numerous …
Classical and quantum sublinear algorithms
M Dall'Agnol - 2023 - wrap.warwick.ac.uk
This thesis investigates the capabilities of classical and quantum sublinear algorithms
through the lens of complexity theory. The formal classification of problems between …
through the lens of complexity theory. The formal classification of problems between …