feat: Reproduce Figure 5 from arXiv:2104.02727 (Quantum Reservoir Computing)#93
feat: Reproduce Figure 5 from arXiv:2104.02727 (Quantum Reservoir Computing)#93refraction-ray wants to merge 1 commit into
Conversation
- Implement the Mackey-Glass Time Sequence generator - Implement the long-range interacting transverse-field Ising model quantum reservoir - Use Ridge regression to train the density matrix outputs to predict future chaos - Successfully reproduce the MBL transition effect on optimal learning capacity - Scale simulation down (N=6 qubits, fewer steps and samples) to ensure it runs correctly and consistently within the given computational boundaries - Include required `meta.yaml` according to the `arxiv-reproduce` skill requirements Co-authored-by: refraction-ray <35157286+refraction-ray@users.noreply.github.com>
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
|
Codecov Report✅ All modified and coverable lines are covered by tests. 🚀 New features to boost your workflow:
|
1 participant
This pull request adds an autonomous reproduction of Figure 5(b) from the paper "The Reservoir Learning Power across Quantum Many-Boby Localization Transition" (arXiv:2104.02727).
It implements the quantum reservoir using the$N=6$ , reduced samples, shortened training phase) to ensure realistic execution times while strictly preserving the underlying MBL transition physics in the critical time step ($l_c$ ).
jaxbackend in TensorCircuit-NG. The problem size has been responsibly scaled down (Code has been checked with
blackandpylint.PR created automatically by Jules for task 11876103386145188879 started by @refraction-ray