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Qiucheng Zhu

dblp:354/0786 · DBLP profile ↗
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4ranked-venue papers
3as first author
4since 2021 · last 2026
0009-0008-7756-9613ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 3 · 2 first-author · 3 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Emerging computing paradigms · 100%
Theoretical computer science
1 paper
Quantum computing and quantum information · 100%
Computer networks
1 paper
Network optimization and economics · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Emerging computing paradigms › quantum computer architecture › quantum network
entanglement routing
1.012026
Maximize Quantum Network Throughput via EPS Placement and Lightweight Entanglement Routing · IEEE Trans. Netw. 2026
Emerging computing paradigms › quantum computer architecture
quantum network
1.012026
Maximize Quantum Network Throughput via EPS Placement and Lightweight Entanglement Routing · IEEE Trans. Netw. 2026
Quantum computing and quantum information › quantum network
entanglement routing
0.912025
Beyond Entanglement Routing: Source Assignment and All-Optical Switching-Based Distribution · IEEE Trans. Netw. 2025
Quantum computing and quantum information
quantum network
0.912025
Beyond Entanglement Routing: Source Assignment and All-Optical Switching-Based Distribution · IEEE Trans. Netw. 2025
Network optimization and economics
network throughput optimization
0.312026
Maximize Quantum Network Throughput via EPS Placement and Lightweight Entanglement Routing · IEEE Trans. Netw. 2026

Methods — techniques the papers use, named apart from their topics

online routing · 2.0offline path computation · 2.0demand-agnostic placement · 2.0rounding · 0.9lagrangian decomposition · 0.9integer linear programming · 0.9
YearPublicationVenuePosition
2026 Maximize Quantum Network Throughput via EPS Placement and Lightweight Entanglement Routing
abstract
Entanglement routing plays a vital role in supporting various applications in quantum networks. Existing works on entanglement routing either ignored the Entangled Photon Source (EPS) placement issue or simply assumed a pool of EPSes at a centralized location that can provision entanglement over arbitrary quantum links. In this paper, we propose LIGHTER and fidelity-aware LIGHTER (named F-LIGHTER) to solve the joint EPS placement and entanglement routing problem based on the assumption that EPSes are co-located with quantum nodes and each EPS can send one entangled photon at a time to one of its adjacent nodes only. The salient features of LIGHTER and F-LIGHTER include (i) LIGHTER and F-LIGHTER use a demand-agnostic EPS placement scheme to maximize network throughput and fairness for all feasible Entanglement Connection EC) establishment demands, and (ii) most requested ECs can be established over Entanglement Paths (EPs) determined offline, and only a small percentage of them will be established over online calculated EPs, resulting in fast and efficient entanglement routing. Extensive simulations show that compared with schemes without proper EPS placement or entanglement routing, LIGHTER can improve the network throughput by up to 175.6% and 37.0%, respectively. When the fidelity is considered, the network throughput improvement achieved by F-LIGHTER will be up to 135.0% and 21.5%, respectively.
Yangming Zhao, Qiucheng Zhu, Bingyi Liu, Nai Xia, Chen Tian 0001, Hongli Xu 0001, Liusheng Huang, Kun Yang 0001, Chunming Qiao
IEEE Trans. Netw.2
2025 Beyond Entanglement Routing: Source Assignment and All-Optical Switching-Based Distribution
abstract
Entanglement routing plays a vital role in distributed quantum computing and quantum networks. Previous works on entanglement routing have addressed several design challenges due to limited quantum resources, failures to establish entanglement, and decoherence of established entanglement, but considered neither the limitations imposed by having a limited number of entangled photon sources (EPSes), nor the benefits of using all-optical (or quantum) switching to distribute entangled photons. In this paper, we first explore the problem of jointly optimizing entanglement routing and EPS assignment, assuming no all-optical switching capability. In other words, a pair of entangled photons generated by one EPS can be distributed to two neighboring quantum nodes. We then relax the above assumption so as to allow a pair of entangled photons generated by one EPS to be distributed to non-adjacent nodes using all-optical switching. We propose two corresponding solutions, namely, entanglement routing and EPS assignment (or ERSA), and ERSA with all-optical switching-based distribution (or ERSA+D) that aim to maximize the number of entanglement connections between the given set of source-destination (SD) pairs while avoiding starvation and achieving fairness among the SD pairs. In order to obtain efficient solutions in a large discrete solution space in a timely manner, we first formulate each optimization problem as an Integer Linear Programming (ILP), and then propose efficient algorithms to derive near-optimal solutions based on relaxation, Lagrangian decomposition, duality iteration, and rounding techniques. Extensive simulations show that ERSA+D can increase network throughput by up to 1652% and 113%, respectively, thanks to EPS assignment optimization, and all-optical switching based entanglement distribution.
Qiucheng Zhu, Yangming Zhao, Hongli Xu 0001, Liusheng Huang, Chunming Qiao
IEEE Trans. Netw.1
2024 EPS Placement and Lightweight Entanglement Routing for Quantum Data Networks
abstract
Entanglement routing in quantum data networks plays a vital role to support various quantum applications. Existing works on entanglement routing either ignored the Entangled Photon Source (EPS) placement issue or simply assumed a pool of EPSes at a centralized location that can provision entanglement over arbitrary quantum links. In this paper, we propose LightER to solve the joint EPS placement and entanglement routing problem based on the assumption that EPSes are distributed over a quantum network, where an EPS, which is co-located with a quantum node, can send one entangled photon at a time to one of the adjacent nodes only. The salient features of LightER include (i) LightER uses a demand-agnostic EPS placement scheme to maximize network throughput and fairness for all feasible entanglement connection (EC) establishment demands, and (ii) most of the requested ECs can be established over their corresponding Entanglement Paths (EPs) determined offline, and only a small percentage of the ECs will be established over EPs that need to be calculated online, resulting in fast and efficient entanglement routing. Extensive simulations show that compared with schemes without proper EPS placement or entanglement routing, LightER can improve the network throughput by up to 215% and 56.2%, respectively.
Qiucheng Zhu, Yangming Zhao, Hongli Xu 0001, Liusheng Huang, Chunming Qiao
ICDCS1
2023 Integrating All-optical Switching and Entangled Photon Source Placement for Entanglement Routing
abstract
Entanglement routing plays a vital role in quantum networks. Previous works on entanglement routing did not note that all-optical switching capacity can be used to improve the network throughput or ignored that the placement of Entangled Photon Sources (EPS), another type of precious (and costly) quantum source, which also limits the network throughput. In this paper, we propose OptEPS to jointly optimize all-optical switching and EPS placement in entanglement routing to maximize the quantum network throughput. The main challenge of OptEPS lies in two folds: i). an entanglement may fail to be created; ii). the joint optimization problem suffers from a large time complexity. To overcome these challenges, we first formulate the joint optimization problem as a link-path based model and prune out some candidate paths in order to reduce the time complexity. Then, efficient algorithms are proposed to derive a near-optimal solution in a timely manner. Extensive simulations show that compared with the solutions ignoring EPS placement or without introducing all-optical switching, OptEPS will increase the network throughput by 1557% and 109%, respectively.
Qiucheng Zhu, Yangming Zhao, Hongli Xu 0001, Liusheng Huang, Chunming Qiao
IWQoS1