Unknown

Dataset Information

0

Private Weakly-Random Sequences from Human Heart Rate for Quantum Amplification.


ABSTRACT: We investigate whether the heart rate can be treated as a semi-random source with the aim of amplification by quantum devices. We use a semi-random source model called ε-Santha-Vazirani source, which can be amplified via quantum protocols to obtain a fully private random sequence. We analyze time intervals between consecutive heartbeats obtained from Holter electrocardiogram (ECG) recordings of people of different sex and age. We propose several transformations of the original time series into binary sequences. We have performed different statistical randomness tests and estimated quality parameters. We find that the heart can be treated as a good enough, and private by its nature, source of randomness that every human possesses. As such, in principle, it can be used as input to quantum device-independent randomness amplification protocols. The properly interpreted ε parameter can potentially serve as a new characteristic of the human heart from the perspective of medicine.

SUBMITTER: Stankiewicz M 

PROVIDER: S-EPMC8470422 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Private Weakly-Random Sequences from Human Heart Rate for Quantum Amplification.

Stankiewicz Maciej M   Horodecki Karol K   Sakarya Omer O   Makowiec Danuta D  

Entropy (Basel, Switzerland) 20210908 9


We investigate whether the heart rate can be treated as a semi-random source with the aim of amplification by quantum devices. We use a semi-random source model called ε-Santha-Vazirani source, which can be amplified via quantum protocols to obtain a fully private random sequence. We analyze time intervals between consecutive heartbeats obtained from Holter electrocardiogram (ECG) recordings of people of different sex and age. We propose several transformations of the original time series into b  ...[more]

Similar Datasets

| S-EPMC3313696 | biostudies-literature
| PRJEB19640 | ENA
| S-EPMC4731770 | biostudies-literature
2010-08-22 | GSE22549 | GEO
| S-EPMC8352985 | biostudies-literature
| S-EPMC4740897 | biostudies-literature
2010-08-22 | E-GEOD-22549 | biostudies-arrayexpress
| S-EPMC2442818 | biostudies-literature
| S-EPMC5712528 | biostudies-literature
| S-EPMC8184773 | biostudies-literature