Quantum computing questions are fine here @achieveordie, but if you need fancier formatting/longer posts you can also post on the quantum computing stack exchange and link us here!
And don't forget, #QuantumDevelopWithMe will be on twitch.tv/crazy4pi314 in ~2h where I'll be working on the qRAM library for Q#!
@crazy4pi314 I thought the same too, it would have been painful to format the question here, here's the link to my question on SE - https://quantumcomputing.stackexchange.com/questions/12410/creating-a-w-state-for-2k-qubits Thanks a lot for the help! :)
I'm having a hellova' time trying to install iqsharp on jupyter. I keep getting error messages about not being able to acquire a lock. I think it's a dotnet problem, but I'm not familiar with either dotnet or jupyter. Searching on the error message hasn't helped. What can I try next?
@cgrande Oops! "No namespace with the name "Microsoft.Quantum.Intrinsic" exists." Is that possibly because my package versions don't match?
@cgranade (both In[1] and Out[2], that is)
@allmycode_twitter: I'll admit it's a bit hard to diagnose without a bit more detail, sorry. Some screenshots in particular would help provide context. The chat here supports images with
![]() notation, or you can file an issue either at https://github.com/microsoft/iqsharp/ for IQ# issues or https://github.com/microsoft/QuantumKatas/ for kata issues with more detail about the context in which you're encountering these errors. That in turn could help us solve the problem better. That said, in the meantime, installing IQ# as an administrator isn't generally necessary unless your Jupyter installation is locked to Administrator only; in that case, you can always opt for a user-local installation by using dotnet iqsharp install --user instead.
@allmycode_twitter Thanks, that helps a lot! In the first screenshot, you can see that the version of Microsoft.Quantum.Standard is 0.11.2006.403 doesn't match the version of Microsoft.Quantum.Katas, 0.11.2004.2825. It looks like the katas haven't been updated to support the latest version of IQ#, such that I'd recommend using the Binder deployment, or explicitly installing version 0.11.2004.2825 of IQ# locally instead of the latest. You can also file an issue at https://github.com/microsoft/QuantumKatas/issues about the versions of IQ# supported by the katas.
@allmycode_twitter It's this issue: microsoft/QuantumKatas#261. The reason is the leftover build artifacts from building on a previous version of Q#; once you remove bin and obj folders and restart the notebook, the error should disappear.
There aren't any obj or bin folders in the SingleQubitGates folder 
@VashisthMalik_twitter The contest announcement has a lot of starting links, two good resources are https://docs.microsoft.com/quantum and https://github.com/Microsoft/QuantumKatas/, the latter have a lot of practice problems with solutions worked out. Enjoy the contest!
@githg22_gitlab: Taking a hint from the problem statement itself, I'd suggest that the last sentence is especially relevant here.
"This operation can be implemented using just the X gate and its controlled variants."
And I can't find a way to test it locally through python
I've got a small question, Can we apply the unwrapping operator on LittleEndian? I don't think we can do that because of the no-clone theorem, I can solve the increment problem with array of qubits, but cannot wrap my mind to do that on LittleEndian. I couldn't find any relevant operation in Microsoft.Quantum.Arithematic to apply X gate on Little Endian either...
Just write
!
Just write
register!
Stupid gitter
LittleEndian is basically a different name for Qubit[], literally no other difference
I mean, I get what you mean, but I still find it a bit uncomfortable without having to use
using()
Also, as a side question, does the changes that we make on the unwrapped array reflected automatically in the user-defined LittleEndian?
So umm
Cam you give a hint as to how you solved the problem?
I've been stuck at this for the past 24 hours
I hope it isn't against the protocol, say you've got N=3. On a paper, write down the values in LittleEndian format from 0 to 7 and then write down the required result, again in LittleEndian format. You'll notice something, one of the qubits will always flip no matter what while the others will flip if a certain condition is satisfied(hence the usage of Controlled X) I hope this will help you.
Also, I tried using the unwrap operator and I got a compilation error saying the expression can only be applied on user-defined type while LittleEndian is a custom user-defined(Microsoft.Quantum.Arithematic.LittleEndian)
Its not against the rules btw, in warmup you're free to discuss hints
like the expression?