In reduction from search LWE to decsion LWE why sampling needs to repeat a polynomial number of times?
I’ve been reading through MIT’s lecture notes on learning with errors here, and I’m trying to understand the reduction from Search LWE to Decision LWE, as described there in Section 2.7, "Algorithm 1".
I cannot seem to understand why we need to repeat the sampling part (for guessing the $i$th coordinate and feeding the sample to the discriminator) a polynomial number of times? ("$For l=1,dots,L$"). Why can’t we just choose the fist value for which the discriminator outputs $1$ (since it’s more likely to output $1$ when the guess is correct)?
Juniverse will reward users for their health-centric decisions.
Road Town, BVI, July 05, 2022 (GLOBE NEWSWIRE) — Juniverse, the startup aiming to make food and health supplement products from scratch, is working to make the world healthier with blockchain technology.
Founded by John Soo in 2021, Juniverse is developing a health application to build awareness surrounding health knowledge. Many around the world struggle to find reliable health products or methods to improve their wellbeing. The Juniverse health app will provide such information, alongside a store for users to invest in health products to positively alter their lifestyles.
The Juniverse application will also serve to replace traditional health applications like those that track steps and caloric intake. Juniverse will track this information as well, but it will reward users for their efforts via the Juniverse token. Each Juniverse token is equal to $1 in value, and will be used to buy health products within the Juniverse application.
“We want to make the world a healthier place, and the best way to do so is to reward users for their efforts. By building a community of users all aiming to get healthier, we’re incentivizing citizens worldwide to become their best selves and earn a passive income while doing so.” said Juniverse CEO John Soo.
A company incorporated on the British Virgin Island, named Juniverse Global Ltd focuses business operations around superfruits eg: Jaboticaba plus creating a health app catering to health-conscious consumers permitting usage of Juniverse tokens to get health products.
As of now, Juniverse first batch products include Fresh Jaboticaba Fruit, Jaboticaba Energetic Vinegar, Jaboticaba Stingless Bee Honey, Enzyme Fibre, Peptide and Natto energy antioxidant drink mix powder.
In the near future, we might develop a range of new products such as cosmetic items and alcoholic beverages with the Fruit as a core component. We have an ongoing collaboration with the University of Technology Malaysia (UTM) and National Pingtung University of Science and Technology of Taiwan professors to conduct raw materials and products research.Juniverse plans to release the health app in 2023 with an advanced set of features at launch, including staking capabilities, games, and a fully-functional marketplace. However, in 2023, the app’s features will be further expanded to include a health club functionality with exclusive membership opportunities offered to those who stake their tokens.
CONTACT: Ooi Ye Lun
ansonooi (at) juniverse.io