Frederik Wilde

Quantum info @ FU Berlin
Mastodon:

[Jens Eisert @jenseisert]

Our early xmas present: We prove a super-polynomial #quantumadvantage of fault tolerant #quantumcomputers for combinatorial #optimization.

https://t.co/6mDRikpm6M

[Frederik Wilde @FrederikWilde]

My Mastodon account:
https://t.co/DrWdRfurFo

[Frederik Wilde @FrederikWilde]

@need_tums_now This is ridiculous. Where does all that money go? Do doctors like that retire after working 3 years?

[Frederik Wilde @FrederikWilde]

@dodecahedra Made me think of this
https://t.co/M96nUzEj7C

[Тsфdiиg @tsoding]

Functional Programming in Python

[Frederik Wilde @FrederikWilde]

Boo! 👻

[Cari Cesarotti @caridoesphysics]

sorry if this is too spooky for anyone

[Frederik Wilde @FrederikWilde]

@typedfemale Not sure if this is relevant. If your vector can be represented by a matrix product state (or some more complicated tensor network), you can simply multiply the matrix Kronecker factors with the tensors of the vector.

[Frederik Wilde @FrederikWilde]

@RobertHuangHY @sitanch @preskill This looks really exciting. Is there a direct technical relation to your previous work on HL? https://t.co/tqGkugqfc9

[Frederik Wilde @FrederikWilde]

@drpeterrohde I beg to differ

[Frederik Wilde @FrederikWilde]

Seems like today is quantum dynamics simulation day. Three very interesting methods:
Tensor networks https://t.co/t6ZaEjsu5b
Cluster expansions https://t.co/Nqe6C5HNRi
Lie-algebra decoupling https://t.co/Q4SES24xeB

[Frederik Wilde @FrederikWilde]

@Liv_Lanes Could one say you would collapse into a pure state of losing it?

[Frederik Wilde @FrederikWilde]

@MeganhMackenzie 🚀🚀

[Jens Eisert @jenseisert]

Noise is for good reasons seen as the main antagonist to #quantumcomputing. Here, we provide evidence and prove that saddle points can be avoided in #variationalquantumalgorithms by exploiting stochasticity: The right kind of #noise can be helpful.

https://t.co/H3V1RgOMXT

[Frederik Wilde @FrederikWilde]

Very happy with our new paper on Hamiltonian learning
https://t.co/iZFwQCbWth
We use auto-diff to train a tensor-network based simulator (TEBD) on dynamical measurement data.

[Jens Eisert @jenseisert]

This piece of work is particularly close to my heart. It presents a scalable and highly experimentally friendly method of #Hamiltonianlearning, by combining ideas of #tensornetworks and #machinelearning. It has been in the making for over two years.

https://t.co/bsmoemfGt6

[Frederik Wilde @FrederikWilde]

@QuantumMemeing Not true. I recently did some edits on Untitled74.ipynb

[Frederik Wilde @FrederikWilde]

@onur_danaci --gpu-bind has the type option single:<tasks_per_gpu>. That might help.

[Frederik Wilde @FrederikWilde]

@ccanonne_ The section of code where this happens probably looks something like this:

// this throws an error
errors.errorRaiser.raiseError("The printer has an error.");

[Frederik Wilde @FrederikWilde]

@kareem_carr You can often push GPT-3 towards giving the answer you want by asking a biased question. Not arguing about the original question, just wanted to show that you can also get the opposite result.

[Frederik Wilde @FrederikWilde]

@econ_som I think the purple monster doesn‘t like camping and exercise. Those are the only occasions it consistently leaves me alone.

[Frederik Wilde @FrederikWilde]

12.7 billion people write every day. But 97.56% are doing it wrong. Here are some tips that will change your life for ever 🤯👇

[Ralf Reski 🇩🇪🇪🇺 @ReskiLab]

Helpful guide to writing.