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Pinlei Lu

dblp:343/5287 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved

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

Systems, architecture and hardware · 1 · 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%

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

TopicWeightPapersLastEvidence papers
Emerging computing paradigms
quantum computer architecture
0.712023
Co-Designed Architectures for Modular Superconducting Quantum Computers · HPCA 2023
Emerging computing paradigms › quantum computer architecture
qubit connectivity
0.712023
Co-Designed Architectures for Modular Superconducting Quantum Computers · HPCA 2023
Emerging computing paradigms › quantum computing
superconducting qubit
0.712023
Co-Designed Architectures for Modular Superconducting Quantum Computers · HPCA 2023
Emerging computing paradigms › quantum computer architecture › quantum circuit synthesis
gate decomposition
0.212023
Co-Designed Architectures for Modular Superconducting Quantum Computers · HPCA 2023
YearPublicationVenuePosition
2023 Co-Designed Architectures for Modular Superconducting Quantum Computers
abstract
Noisy, Intermediate Scale Quantum (NISQ) computers have reached the point where they can show the potential for quantum advantage over classical computing. Unfortunately, NISQ machines introduce sufficient noise that even for moderate size quantum circuits the results can be unreliable. We propose a collaboratively designed superconducting quantum computer using a Superconducting Nonlinear Asymmetric Inductive eLement (SNAIL) modulator. The SNAIL modulator is designed by considering both the ideal fundamental qubit gate operation while maximizing the qubit coupling capabilities. First, the SNAIL natively implements $\sqrt[n]{{{\text{iSWAP}}}}$ gates realized through proportionally scaled pulse lengths. This naturally includes $\sqrt {{\text{iSWAP}}} $, which provides an advantage over CNOT as a basis gate. Second, the SNAIL enables high-degree couplings that allow rich and highly parallel qubit connection topologies without suffering from frequency crowding. Building on our previously demonstrated SNAIL-based quantum state router we propose a quantum 4-ary tree and a hypercube inspired corral built from interconnected quantum modules. We compare their advantage in data movement based on necessary SWAP gates to the traditional lattice and heavy-hex lattice used in latest commercial quantum computers. We demonstrate the co-design advantage of our SNAIL-based machine with $\sqrt {{\text{iSWAP}}} $ basis gates and rich topologies against CNOT/heavy-hex and FSIM/lattice for 16-20 qubit and extrapolated designs circa 80 qubit architectures. We compare total circuit time and total gate count to understand fidelity for systems dominated by decoherence and control imperfections, respectively. Finally, we provide a gate duration sensitivity study on further decreasing the SNAIL pulse length to realize $\sqrt[n]{{{\text{iSWAP}}}}$ qubit systems to reduce decoherence times.
Evan McKinney, Mingkang Xia, Pinlei Lu, Michael Hatridge, Alex K. Jones
HPCA4