×
Well done. You've clicked the tower. This would actually achieve something if you had logged in first. Use the key for that. The name takes you home. This is where all the applicables sit. And you can't apply any changes to my site unless you are logged in.

Our policy is best summarized as "we don't care about _you_, we care about _them_", no emails, so no forgetting your password. You have no rights. It's like you don't even exist. If you publish material, I reserve the right to remove it, or use it myself.

Don't impersonate. Don't name someone involuntarily. You can lose everything if you cross the line, and no, I won't cancel your automatic payments first, so you'll have to do it the hard way. See how serious this sounds? That's how serious you're meant to take these.

×
Register


Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.
  • Your password can’t be too similar to your other personal information.
  • Your password must contain at least 8 characters.
  • Your password can’t be a commonly used password.
  • Your password can’t be entirely numeric.

Enter the same password as before, for verification.
Login

Grow A Dic
Define A Word
Make Space
Set Task
Mark Post
Apply Votestyle
Create Votes
(From: saved spaces)
Exclude Votes
Apply Dic
Exclude Dic

Click here to flash read.

Presently, noisy intermediate-scale quantum computers encounter significant
technological challenges that make it impossible to generate large amounts of
entanglement. We leverage this technological constraint as a resource and
demonstrate that a shallow variational eigensolver can be trained to
successfully target quantum many-body scar states. Scars are area-law
high-energy eigenstates of quantum many-body Hamiltonians, which are sporadic
and immersed in a sea of volume-law eigenstates. We show that the algorithm is
robust and can be used as a versatile diagnostic tool to uncover quantum
many-body scars in arbitrary physical systems.

Click here to read this post out
ID: 682760; Unique Viewers: 0
Unique Voters: 0
Total Votes: 0
Votes:
Latest Change: Jan. 18, 2024, 7:33 a.m. Changes:
Dictionaries:
Words:
Spaces:
Views: 46
CC:
No creative common's license
Comments: