Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Eneet Kaur

dblp:203/9092 · DBLP profile ↗
← Back
4ranked-venue papers
0as first author
3since 2021 · last 2026
0000-0003-3407-6284ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 1 · 1 since 2021Software engineering, systems software and programming languages · 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
2 papers
Emerging computing paradigms · 100%
Computer networks
1 paper
Datacenter networks · 100%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Emerging computing paradigms
quantum computer architecture
1.012026
iSwitch: QEC on Demand via In-Situ Encoding of Bare Qubits for Ion Trap Architectures · ASPLOS (2) 2026
Emerging computing paradigms
quantum computing
1.012026
NetQStack: toward building a network-integrated computing stack for quantum data centers · INFOCOM 2026
Emerging computing paradigms › quantum computer architecture
quantum error correction
1.012026
iSwitch: QEC on Demand via In-Situ Encoding of Bare Qubits for Ion Trap Architectures · ASPLOS (2) 2026
Emerging computing paradigms › quantum computer architecture
trapped ion quantum computer
1.012026
iSwitch: QEC on Demand via In-Situ Encoding of Bare Qubits for Ion Trap Architectures · ASPLOS (2) 2026
Compilers and program optimization › compiler optimization
quantum compiler optimization
0.312026
iSwitch: QEC on Demand via In-Situ Encoding of Bare Qubits for Ion Trap Architectures · ASPLOS (2) 2026

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

scheduling optimization · 2.0in-situ encoding · 2.0hybrid instruction set · 2.0conversion protocol · 2.0
YearPublicationVenuePosition
2026 iSwitch: QEC on Demand via In-Situ Encoding of Bare Qubits for Ion Trap Architectures
abstract
Recent advances in quantum hardware and error correction have paved the way for early fault-tolerant (EFT) quantum computing. We propose iSwitch, a hybrid system architecture for trapped-ion quantum computers (TIQC) that exploits ultra-high-fidelity single-qubit gates and efficient logical CNOTs enabled by ion shuttling. iSwitch employs bare qubits for single-qubit operations and QEC-encoded logical qubits for two-qubit gates, avoiding full logical encoding, gate synthesis, and magic state distillation. To enable this selective encoding, we develop a low-noise conversion protocol between bare and logical qubits, a hybrid instruction set tailored to 2D TIQC layouts, and a compiler that minimizes conversion overhead and optimizes scheduling. Evaluations on variational quantum algorithm benchmarks show that iSwitch achieves comparable fidelity to conventional QEC methods, while reducing qubit and operation counts by roughly 33–50%, offering a practical, resource-efficient path toward EFT quantum computing on trapped-ion platforms.
Keyi Yin, Eneet Kaur, Reza Nejabati, Hartmut Haeffner, Wes Campbell, Eric R. Hudson, Jens Palsberg, Travis S. Humble, Yufei Ding 0001
ASPLOS (2)5
2026 NetQStack: toward building a network-integrated computing stack for quantum data centers
Inder Monga, Reza Nejabati, Eneet Kaur, Wenji Wu
INFOCOM3
2024 Bipartite Entanglement of Noisy Stabilizer States Through the Lens of Stabilizer Codes
abstract
Stabilizer states are a prime resource for a number of applications in quantum information science, such as secret-sharing and measurement-based quantum computation. This motivates us to study the entanglement of noisy stabilizer states across a bipartition. We show that the spectra of the corresponding reduced states can be expressed in terms of properties of an associated stabilizer code. In particular, this allows us to show that the coherent information is related to the so-called syndrome entropy of the underlying code. We use this viewpoint to find stabilizer states that are resilient against noise, allowing for more robust entanglement distribution in near-term quantum networks. We specialize our results to the case of graph states, where the found connections with stabilizer codes reduces back to classical linear codes for dephasing noise. On our way we provide an alternative proof of the fact that every qubit stabilizer code is equivalent up to single-qubit Clifford gates to a graph code.
Kenneth Goodenough, Aqil Sajjad, Eneet Kaur, Saikat Guha 0001, Don Towsley
ISIT3
2019 Stein's Lemma for Classical-Quantum Channels
abstract
It is well known that for the discrimination of classical and quantum channels in the finite, non-asymptotic regime, adaptive strategies can give an advantage over non-adaptive strategies. However, Hayashi [IEEE Trans. Inf. Theory 55(8), 3807 (2009)] showed that in the asymptotic regime, the exponential error rate for the discrimination of classical channels is not improved in the adaptive setting. We show that, for the discrimination of classical-quantum channels, adaptive strategies do not lead to an asymptotic advantage. As our main result, this establishes Stein's lemma for classical-quantum channels. Our proofs are based on the concept of amortized distinguishability of channels, which we analyse using entropy inequalities.
Mario Berta, Christoph Hirche, Eneet Kaur, Mark M. Wilde
ISIT3