Srivatsan Chakram

dblp:346/5024 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0003-0461-378XORCID · reported

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 · 91% Hardware accelerators and domain-specific architectures · 9%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Emerging computing paradigms › quantum computer architecture
fault-tolerant quantum computing
0.712023
HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems · MICRO 2023
Emerging computing paradigms
quantum computer architecture
0.712023
HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems · MICRO 2023
Emerging computing paradigms
quantum computing
0.712023
HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems · MICRO 2023

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

resource analysis · 0.7architectural design · 0.7
YearPublicationVenuePosition
2023 HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems
abstract
Noisy Intermediate-Scale Quantum Computing (NISQ) has dominated headlines in recent years, with the longer-term vision of Fault-Tolerant Quantum Computation (FTQC) offering significant potential albeit at currently intractable resource costs and quantum error correction (QEC) overheads. For problems of interest, FTQC will require millions of physical qubits with long coherence times, high-fidelity gates, and compact sizes to surpass classical systems. Just as heterogeneous specialization has offered scaling benefits in classical computing, it is likewise gaining interest in FTQC. However, systematic use of heterogeneity in either hardware or software elements of FTQC systems remains a serious challenge due to the vast design space and variable physical constraints.
Samuel A. Stein, Sara Sussman, Teague Tomesh, Charlie Guinn, Esin Tureci, Sophia Fuhui Lin, James Ang 0001, Srivatsan Chakram, Ang Li 0006, Margaret Martonosi, Fred Chong, Andrew A. Houck, Isaac L. Chuang, Michael DeMarco
MICRO9