Open koreal6803 opened 4 years ago
@mandy6803 @belmirochu @chs14 @YanChengWeiTony please drop a comment here to assign yourselves to this issue from the top-right corner, or I can assign you if you prefer that.
@koreal6803 is this looking for a coach?
@koreal6803 is this looking for a coach?
Yes, It will be nice to have you as our coach! Thank you for joining us!
Good
@koreal6803 is this looking for a coach?
Yes, we are looking for a coach. thanks for your helping!!
Hi
@t-imamichi Do you have the bandwidth to coach this team as well?
@starktech23 Thank you for being our coach. Please find the slack invitation link below to discuss our topic. We will put our idea on it for you later to review. Look forward to your comment. https://join.slack.com/t/qiskit/shared_invite/zt-hdktx2wg-j7OujbYiH5CGG1_m3Kk6Tw
I see @starktech23 is already assigned as a coach. If they need any help, I can support them.
@t-imamichi I didn't know I was assigned as coach, but I'll need your support as well if I am to coach 😆 sorry for the confusion.
No problem!
@t-imamichi @starktech23 Thank you for both of your supports! Sorry for the confusion!
@mandy6803 can you and the team please start by creating a Slack DM group to stay connected, and creating a GitHub repo with all of your team members as collaborators to work together? Add me as well so I can take a look whenever you need me to.
Oh I see @koreal6803 already has a repo prepared. Everyone please join as contributors there and communicate via Slack.
Abstract
Our goal is to find the best solution to a problem (according to some criteria) from a set of possible solutions. Mostly, the optimization problem is formulated as a minimization problem, where one tries to minimize an error which depends on the solution: the optimal solution has the minimal error. We would like to apply quantum optimization problems to real world applications, such as finance portfolio optimization or vehicle location estimation.
Topic Candidates
For now, our top choice is to perform localization for vehicle sensor network. We assume each vehicle is able to send signal to each other and estimation the signal strength. With the signal strength, vehicle can estimate the distance of the the sensor. Therefore, it can estimate its position by formulating the problem to quadratic functions and solved using quantum optimization.
Members
Deliverable
An application to help improve our life.
GitHub repo
https://github.com/koreal6803/Application-of-quantum-optimization