Pith. sign in

REVIEW 1 cited by

Drawing from hats by noise-based logic

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1511.03552 v3 pith:XLMTW2G5 submitted 2015-11-11 cs.ET cs.CC

classification cs.ETcs.CC
keywords hatsnumbernumberslogicproblemalicedrawingexponential
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We utilize the asymmetric random telegraph wave-based instantaneous noise-base logic scheme to represent the problem of drawing numbers from a hat, and we consider two identical hats with the first 2^N integer numbers. In the first problem, Alice secretly draws an arbitrary number from one of the hats, and Bob must find out which hat is missing a number. In the second problem, Alice removes a known number from one of the hats and another known number from the other hat, and Bob must identify these hats. We show that, when the preparation of the hats with the numbers is accounted for, the noise-based logic scheme always provides an exponential speed-up and/or it requires exponentially smaller computational complexity than deterministic alternatives. Both the stochasticity and the ability to superpose numbers are essential components of the exponential improvement.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. "Quantum supremacy" challenged. Instantaneous noise-based logic with benchmark demonstrations

    physics.gen-ph 2025-05 reject novelty 3.0 of 10

    A benchmark of instantaneous noise-based logic claims O(1) time for operations on exponentially large sets, but the speedup depends on free input encoding and fails against the authors' own classical algorithm.

Pith tools