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Tomochika Arai

dblp:332/1673 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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 · 93% Hardware reliability and fault tolerance · 7%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Emerging computing paradigms › quantum computer architecture
fault-tolerant quantum computing
0.612022
Q3DE: A fault-tolerant quantum computer architecture for multi-bit burst errors by cosmic rays · MICRO 2022
Emerging computing paradigms
quantum computer architecture
0.612022
Q3DE: A fault-tolerant quantum computer architecture for multi-bit burst errors by cosmic rays · MICRO 2022
Emerging computing paradigms › quantum computer architecture
quantum error correction
0.612022
Q3DE: A fault-tolerant quantum computer architecture for multi-bit burst errors by cosmic rays · MICRO 2022
Emerging computing paradigms › quantum computer architecture › quantum error correction
surface code
0.612022
Q3DE: A fault-tolerant quantum computer architecture for multi-bit burst errors by cosmic rays · MICRO 2022

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

optimized error decoding · 0.6in-situ anomaly detection · 0.6dynamic code deformation · 0.6
YearPublicationVenuePosition
2022 Q3DE: A fault-tolerant quantum computer architecture for multi-bit burst errors by cosmic rays
abstract
Demonstrating small error rates by integrating quantum error correction (QEC) into an architecture of quantum computing is the next milestone towards scalable fault-tolerant quantum computing (FTQC). Encoding logical qubits with superconducting qubits and surface codes is considered a promising candidate for FTQC architectures. In this paper, we propose an FTQC architecture, which we call Q3DE, that enhances the tolerance to multi-bit burst errors (MBBEs) by cosmic rays with moderate changes and overhead. There are three core components in Q3DE: in-situ anomaly DEtection, dynamic code DEformation, and optimized error DEcoding. In this architecture, MBBEs are detected only from syndrome values for error correction. The effect of MBBEs is immediately mitigated by dynamically increasing the encoding level of logical qubits and re-estimating probable recovery operation with the rollback of the decoding process. We investigate the performance and overhead of the Q3DE architecture with quantum-error simulators and demonstrate that Q3DE effectively reduces the period of MBBEs by 1000 times and halves the size of their region. Therefore, Q3DE significantly relaxes the requirement of qubit density and qubit chip size to realize FTQC. Our scheme is versatile for mitigating MBBEs, i.e., temporal variations of error properties, on a wide range of physical devices and FTQC architectures since it relies only on the standard features of topological stabilizer codes.
Yasunari Suzuki, Takanori Sugiyama, Tomochika Arai, Koji Inoue, Teruo Tanimoto
MICRO3