Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
data for Improving adiabatic quantum factorization via chopped random-basis optimization
data for Improving adiabatic quantum factorization via chopped random-basis optimization
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
Yang, Tianlai
,
Xiong, Mo
,
Xue, Ming
,
Li, Xinwei
,
Li, Jinbin
Format:
Recurso digital
Published:
Zenodo
2025
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Description
Description not available.
Similar Items
Improving adiabatic quantum factorization via chopped random-basis optimization
by: Yang, Tianlai, et al.
Published: (2025)
Efficient generation of multiqubit entanglement states using rapid adiabatic passage
by: Xu, Shijie, et al.
Published: (2024)
High-fidelity and robust controlled-Z gates implemented with Rydberg atoms via echoing rapid adiabatic passage
by: Xue, Ming, et al.
Published: (2024)
Scalable high-fidelity and near-deterministic preparation of large photon-number states
by: Xiong, Mo, et al.
Published: (2026)
The discrete adiabatic quantum linear system solver has lower constant factors than the randomized adiabatic solver
by: Costa, Pedro C. S., et al.
Published: (2023)