-
Notifications
You must be signed in to change notification settings - Fork 4
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Trevisan’s extractor #4
Comments
@zhangjiannan hi! have been working on the given problem. Can i be assigned to it? Or does it work openly for everyone till a PR is accepted? |
@zhangjiannan I don't have access to the resource provided by you. Could you please allow access? |
@DarthRevan07 Hi, do you mean the access to the papers? If yes, please leave the email and I will send them to you. |
***@***.***
…On Sat, 3 Jun 2023, 10:27 bernard_yeszero, ***@***.***> wrote:
@DarthRevan07 <https://github.com/DarthRevan07> Hi, do you mean the
access to the papers? If yes, please leave the email and I will send them
to you.
—
Reply to this email directly, view it on GitHub
<#4 (comment)>,
or unsubscribe
<https://github.com/notifications/unsubscribe-auth/A34EVNX3GF7QU4IV5SSHM2TXJK74NANCNFSM6AAAAAAXXW6BAU>
.
You are receiving this because you were mentioned.Message ID:
***@***.***
com>
|
@DarthRevan07 Hi, I think github obfuscates your real email address. But I suggest you can google "free science paper" and you can find some websites that accept the doi number or url address. |
Could you please assign this task to me? |
@DarthRevan07 @niranjannagumalli assigned, enjoy hacking! |
It's open challenge so everyone can work on it. The first contribution accepted will get the bounty prize. You can work in teams too, feel free to connect with each other. |
The paper is also available on arxiv https://arxiv.org/abs/1207.1473 |
Bounty type: Code implementation
Language requirements: Any programming language and documentation needs English.
Applicant requirements: From an academic background in computation science or quantum physics.
How to complete the bounty task:
a. Use any programming language to achieve Trevisan’s extractor for randomness extraction after quantum random number generation. The input is a binary file with random numbers of zero and one, and the length is n. The code intends to extract the randomness to form a length of k*n random numbers, where k is determined by the min-entropy, for example, k=0.2.
b. A simple documentation is needed to interpret Trevisan’s extractor and the functions and parameters definition and include the references.
Reference materials:
You are welcomed to search for relevant data/studies on your own apart from the provided reading materials; If other studies were referenced in the research results, please indicate the source.
The text was updated successfully, but these errors were encountered: