RMTboy

I have seen the release of your recent survey on the use of AI for quantum computing, would you be open to some form of competition in this area one day potentially ? This could be a way to bridge the two communities.

Hi Esperanza, thanks for hosting this AMA! I’m curious—how do you see competitions, benchmarking, and open-source initiatives shaping the quantum computing ecosystem, similar to how they’ve driven innovation in AI?

the minimisation of the total distance, see the metric function in the file use-case.py

Did you check these three links ?

https://inside.nssl.noaa.gov/flash/database/ https://weather.com/en-GB/weather/hourbyhour/l/02d8bffb8e85d1880181a1ecd44587f82ed240d742cef8696b0fc93931d5686d https://marketplace.databricks.com/details/a5d241d3-e89a-4bd4-8535-96ba2c8f6213/GeoPostcodes_SAMPLE-GeoPostcodes-Geospatial-Data-Location-data-Geographic-data-Zip-Code-Database-

Otherwise @aalqatatsheh would be the one to know!

If I understand well, the quantity to optimise is the credit $C$ obtained which is expressed as follows. If the number of PMRQ is $N$ then the total cost is

$\sum_{t=1}^T \sum_{i=1}^{N}cost_i PMRQ_{i,t}\times (1-\sum_{j=1}^{N} credit_{i,j}PMRQ_{j,t})$ and the credit obtained is

where $PMRQ_{i,j}$ is 1 is the maintenance of $i$ is done at time $t$ and 0 otherwise. The variable $credit(i,j)$ indicates whether the maintenance of PMRQ-i is free if we do the one of PMRQ-j.

I guess there is a small typo in the sentence "PMRQ 1 credit PMRQ 2 and 4 for a cost of 5 at period 5" where it should be a cost of 4 and not 5. We'll rewrite the description of the problem to make it a bit more friendly!