Optimizing Circuit Reusing and its Application in Randomized Benchmarking
Quantum learning tasks often leverage randomly sampled quantum circuits to characterize unknown systems. An efficient approach known as ``circuit reusing,'' where each circuit is executed multiple times, reduces the cost compared to implementing new circuits. This work investigates the opt...
Saved in:
Main Authors: | Zhuo Chen, Guoding Liu, Xiongfeng Ma |
---|---|
Format: | Article |
Language: | English |
Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2025-01-01
|
Series: | Quantum |
Online Access: | https://quantum-journal.org/papers/q-2025-01-23-1606/pdf/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Benchmarking Quantum Circuit Transformation With QKNOB Circuits
by: Sanjiang Li, et al.
Published: (2025-01-01) -
The geographical context of wastewater treatment and reuse: a benchmarking analysis for Spanish Mediterranean Wastewater Treatment Plants
by: Paula Rodríguez, et al.
Published: (2019-07-01) -
Benchmarking equivalent circuit models for the IV characteristic of bifacial photovoltaic modules
by: Bartholomäus Martin, et al.
Published: (2025-01-01) -
Intelligent optimization algorithm based on benchmarking
by: Anshi XIE
Published: (2018-07-01) -
Optimization of task scheduling for computing reuse in computing power network
by: Yunxiao MA, et al.
Published: (2023-11-01)