Remon Polus

Polytechnique Montréal

Unclaimed · AI-structured profileOpenAlex

Quantum algorithms for wireless networks: Grover-based device detection and neutral-atom resource optimization

papers here

reviewed by Evolve

first-author

corresponding

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works · OpenAlex

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h-index · OpenAlex

Bibliometric figures come from OpenAlex (2026-10-02) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.

Research profile

Output—

Insufficient data: the cataloged record is too small to compute production metrics. The output axis would measure total scholarly output, venue spread, and authorship roles once a fuller bibliographic record accumulates.

Impact—

Insufficient data: citation counts, h-index, and downstream uptake are not yet available for this early-stage record, so no impact score can be computed; the axis would measure citations, uptake in follow-up work, and peer recognition once citation data accrues.

Focus0/100

Focus scores 0, reflecting an evenly split field distribution: 0.5 weight in wireless communications (quantum-assisted signal processing) and 0.5 in quantum optimization for wireless communication networks. Both cataloged papers bridge these two halves, applying quantum algorithms (Grover search and neutral-atom maximum-independent-set mapping) to wireless resource problems rather than concentrating in a single niche, giving a deliberately two-track, interdisciplinary profile.

Collaboration32/100

Collaboration scores 32, based on 4 distinct coauthors in the current record: Soumaya Cherkaoui, Deemah Tashman, Patatchona Keyela, and Ola Ahmad. The pattern is a compact, single-cluster team consistent with one research group at Polytechnique Montréal; Polus leads as first author on the symbiotic-radio detection paper and appears in a middle authorship position on the neutral-atom optimization paper. No cross-institution or independent collaborations are yet visible.

Activity—

Insufficient data: only a two-paper, single-year (2026) snapshot exists, too sparse to compute publication cadence or sustained-output trends. The activity axis would measure annual output rate, publication consistency, and recent momentum across multiple years of indexed records.

Reproducibility20/100

Reproducibility scores 20 (reproMean 20 across 2 assessed papers), and both papers carry a low reproducibility-readiness rating. The Grover-based device detection study is simulation-only with claims limited to small scale (K≤6), while the neutral-atom optimization results come from a Pasqal emulator rather than hardware with no advantage shown — and no reproduction path is documented in the current record.

Research summary

Remon Polus is a researcher at Polytechnique Montréal working at the intersection of quantum computing and wireless communication systems, with an evenly split profile across two related tracks: quantum-assisted signal processing for wireless communications and quantum optimization for wireless communication networks (0.5/0.5 field distribution). The current record comprises two 2026 arXiv papers. The first, on which Polus is first author, applies Grover's algorithm to active device detection in energy-harvesting symbiotic radio networks, with simulations approaching machine-learning baselines at roughly 5x fewer queries for up to six devices — promising but explicitly small in scale. The second formulates NOMA resource allocation and admission control as a maximum independent set problem and solves it on a Pasqal neutral-atom emulator, matching Gurobi on small networks; the mapping is judged sound, though emulation-only and without demonstrated quantum advantage. Both papers are rated low reproducibility readiness (reproMean 20 over 2 papers). The visible collaboration footprint is compact — 4 distinct coauthors (Soumaya Cherkaoui, Deemah Tashman, Patatchona Keyela, Ola Ahmad) — consistent with a single research group. Output, impact, and activity metrics are not yet computable from this early-stage record. Taken together, the profile suggests a coherent, deliberately two-track agenda applying quantum algorithms to concrete wireless resource problems, with reproducibility and hardware validation the natural next frontiers.

Collaboration pattern

The visible collaboration footprint is compact: 4 distinct coauthors — Soumaya Cherkaoui, Deemah Tashman, Patatchona Keyela, and Ola Ahmad — appear across the two 2026 papers, consistent with a single research group at Polytechnique Montréal rather than a distributed network. Polus leads as first author on the symbiotic-radio detection paper and takes a middle position on the neutral-atom optimization paper, suggesting a pattern of leading quantum-signal-processing work while contributing to the group's quantum-optimization track.

Research keywords

symbiotic radiobackscatter communicationactive device detectionGrover's algorithmenergy harvestingNOMAneutral-atom quantum computingRydberg blockademaximum independent setresource allocationadmission control

Highlights

Grover search cuts device-detection queries ~5x
In energy-harvesting symbiotic radio networks, quantum-aided active device detection based on Grover's algorithm approaches machine-learning baselines with roughly 5x fewer queries for up to six devices; Evolve notes the small scale limits the claims.
NOMA resource allocation mapped to maximum independent set
The paper formulates NOMA resource allocation and admission control as a maximum independent set problem and solves it on a Pasqal neutral-atom emulator, matching Gurobi on small networks; the mapping is sound but emulation-only, with no quantum advantage shown.
A coherent two-track quantum-for-wireless agenda
Across the two 2026 papers, the field distribution splits evenly (0.5/0.5) between quantum-assisted wireless signal processing and quantum optimization for wireless networks — one paper runs quantum search at the physical layer, the other maps network-layer resource allocation to a neutral-atom solver.

Timeline

2026First-author arXiv paper: quantum-aided active device detection in energy-harvesting symbiotic radio networks using Grover's algorithm, with simulations nearing ML baselines at ~5x fewer queries at K≤6.
2026Co-authored arXiv paper: NOMA resource allocation and admission control formulated as maximum independent set, solved on a Pasqal neutral-atom emulator matching Gurobi on small networks.
2026Both 2026 outputs establish a two-track quantum-for-wireless agenda at Polytechnique Montréal, spanning quantum-assisted signal processing and quantum optimization for wireless networks.

Papers in the Evolve catalog

2026-09-22first author
Quantum-Aided Active Device Detection in Energy-Harvesting Symbiotic Radio Networks
2026-09-22
Neutral-Atom-based Quantum Optimization for Resource Allocation in NOMA Networks

Frequent co-authors

Soumaya Cherkaoui×2 Deemah Tashman×1 Patatchona Keyela×1 Ola Ahmad×1

About this profile

This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.

Bibliometric scores derive from a limited snapshot of indexed public bibliographic data; only two 2026 arXiv preprints are in the Evolve catalog, so scores may shift substantially as the record grows.
No ORCID or country information was available; the profile is name-resolved from public bibliographic data and common-name ambiguity cannot be excluded.
Output, impact, and activity dimensions are unscored because citation counts, productivity history, and venue records are not present in the input data.
Both papers are arXiv preprints rated low reproducibility readiness (reproMean 20); no peer-reviewed venue or code-release information is in scope.