×
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

Hybrid Quantum Algorithms integrating QAOA, Penalty Dephasing and Zeno Effect for Solving Binary Optimization Problems with Multiple Constraints. (arXiv:2305.08056v1 [quant-ph])

Click here to flash read.

When tackling binary optimization problems using quantum algorithms, the
conventional Ising representation and Quantum Approximate Optimization
Algorithm (QAOA) encounter difficulties in efficiently handling errors for
large-scale problems involving multiple constraints. To address these
challenges, this paper presents a hybrid framework that combines the use of
standard Ising Hamiltonians to solve a subset of the constraints, while
employing non-Ising formulations to represent and address the remaining
constraints. The resolution of these non-Ising constraints is achieved through
either penalty dephasing or the quantum Zeno effect. This innovative approach
leads to a collection of quantum circuits with adaptable structures, depending
on the chosen representation for each constraint. Furthermore, this paper
introduces a novel technique that utilizes the quantum Zeno effect by
frequently measuring the constraint flag, enabling the resolution of any
optimization constraint. Theoretical properties of these algorithms are
discussed, and their performance in addressing practical aircraft loading
problems is highly promising, showcasing significant potential for a wide range
of industrial applications.

Click here to read this post out
ID: 129635; Unique Viewers: 0
Unique Voters: 0
Total Votes: 0
Votes:
Latest Change: May 16, 2023, 7:31 a.m. Changes:
/u/anonymous
Dictionaries:
Words:
Spaces:
Views: 10
CC:
No creative common's license
Comments: