Can we solve a Large integer programming problem having 100 million variable for optimisation
Can we solve a Large integer programming problem having 100 million variable for optimisation using D-wave quantum annealing.
My problem can not be decomposed in less than 1 million variables.
if we can solve, then suggest the approach which can solve this large integer programming problem
Comments
I would be surprised if you could do that directly. I think you'll run into several challenges along the way:
There are some things that might make some flavor of optimization possible:
I'm looking at the opening of this compute resource to develop experience with technology that will be useful in the next few years, but suffers from some big limitation now. To that end, could you try out a related a toy problem to determine what's hard? From there, you might ask what might be come easy or possible with near-term advances in quantum annealer architecture?
Good luck!
-- Andrew Matteson
Hi Andrew,
In problem solving capability using D-wave, there its mentioned that, it is able solve Airline scheduling problem.
Can you please brief about which scheduling problem it solved using D-wave and size(variables and constraints) of problem and relevant details.
Regards,
Virendra
Hi Virenda,
I'm not part of D-wave staff. Maybe you can reach out to their support team?
--Andrew
There was a presentation at ISC about it; unfortunately I cannot find the slides :(
FYI:
https://2018.isc-program.com/?page_id=10&id=inv_sp118&sess=sess172
Please sign in to leave a comment.