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Bin-Han Lu

dblp:180/0109 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · unresolved

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

Systems, 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 · 91% Electronic design automation · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Emerging computing paradigms › quantum computer architecture
quantum compilation
0.912025
CAMEL: Physically Inspired Crosstalk-Aware Mapping and Gate Scheduling for Frequency-Tunable Quantum Chips · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025
Emerging computing paradigms
quantum computer architecture
0.912025
CAMEL: Physically Inspired Crosstalk-Aware Mapping and Gate Scheduling for Frequency-Tunable Quantum Chips · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025
Emerging computing paradigms › quantum computer architecture
qubit mapping and scheduling
0.912025
CAMEL: Physically Inspired Crosstalk-Aware Mapping and Gate Scheduling for Frequency-Tunable Quantum Chips · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025
Electronic design automation › signal integrity
crosstalk mitigation
0.312025
CAMEL: Physically Inspired Crosstalk-Aware Mapping and Gate Scheduling for Frequency-Tunable Quantum Chips · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025

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

pulse compensation · 0.9gate scheduling · 0.9
YearPublicationVenuePosition
2025 CAMEL: Physically Inspired Crosstalk-Aware Mapping and Gate Scheduling for Frequency-Tunable Quantum Chips
abstract
Crosstalk poses a significant challenge in quantum computing, particularly when quantum gates are executed in parallel, as qubit frequency resonance can lead to residual coupling and reduced gate fidelity. Current solutions struggle to mitigate both crosstalk and decoherence during parallel two-qubit gate operations on frequency-tunable quantum chips. To address this, we propose a crosstalk-aware mapping and gate scheduling (CAMEL) approach, designed to mitigate crosstalk and suppress decoherence by leveraging the tunable coupler’s physical properties and incorporating a pulse compensation technique. CAMEL operates within a two-step compilation framework: first, a qubit mapping strategy that considers both crosstalk and decoherence; and second, a gate timing scheduling method that prioritizes the execution of the largest possible set of crosstalk-free parallel gates, reducing overall circuit execution time. Evaluation results demonstrate CAMEL’s superior ability to mitigate crosstalk compared to crosstalk-agnostic methods, while successfully suppressing decoherence where other approaches fail. Additionally, CAMEL performs better than dynamic-frequency-aware techniques, particularly in low-complexity hardware environments.
Bin-Han Lu, Zhao-Yun Chen, Huan-Yu Liu, Tai-Ping Sun, Yu-Chun Wu, Guo-Ping Guo
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1