PATENT CLAIM ANALYSIS

Application Number: 16150010
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-07
Patent Classification: ["708", "255000"]

Abstract:
The method for generating a random bit sample involves a quantum tunneling barrier. The method generally has: generating a current of charges tunneling across said quantum tunneling barrier, the current of the tunneled charges having an instantaneous level varying randomly due to quantum tunneling fluctuations and forming a raw signal; from said raw signal, obtaining a raw bit sample having a first bit number n, the first bit number n being an integer; extracting the randomness out of the raw bit sample into the random bit sample, the random bit sample having a second bit number in being smaller than the first bit number n, said extracting being based on calibration data comprising at least a quantum contribution value of said quantum tunneling fluctuations in said raw bit sample; and on an external contribution value in said raw bit sample.

Claim (Index 13):
The method of  claim 12 , further comprising determining a number of bits to keep per source bit sample based on a min-entropy of said quantum tunneling fluctuations, the raw bit sample including a given number of concatenated source bit samples, said given number being determined so that, when multiplied by said number of bits to keep, yields an integer.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 97.0
- Lexical Diversity: 2.39683
- Patent Class: 708.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15917121', '16024409', '15309857', '14597187', '14697320']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3581459908762943
- 35 USC 102 Novelty (BERT): 0.616532790139526
- Combined Prediction Score: 0.3839846708026175
- Mean Citation Score: 268.63327000000004
- Max Citation Score: 559.919
- Similarity Product: 474.0103024650812

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test