PhysicsarXiv

Heuristic editor, no API keyVerdict: Notable

An entangling Hubbard quasiparticle collider on a digital quantum processor

Scattering of quasiparticles provides direct access to the interactions that govern strongly correlated systems.

By Bin Bark, Kim, Koo +6

Score████░░░░░░4.2

Key numbers

  • 42 qubits of the ibm

Caveats

  • Preprint; not yet peer reviewed.

VerdictWorth a reader's time today.

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Abstract

Scattering of quasiparticles provides direct access to the interactions that govern strongly correlated systems. In this work, we realize the quasiparticle scattering experiment of the Fermi-Hubbard model on a digital quantum processor by colliding a doublon and a holon in the half-filled chain of 21 sites encoded on 42 qubits of the ibm_boston processor. For the first time, we measure the transmission probability of quasiparticles of the Hubbard model on quantum hardware, which agrees with the Bethe-ansatz scattering matrix without free parameters. Beyond the scattering probabilities, the collision generates entanglement by superposing the transmitted and reflected components, which we infer from the particle-number fluctuation. In sharp contrast, a control collision between two doublons shows neither the interaction dependence nor the number fluctuation, as expected for indistinguishable particles. Our work demonstrates that the ability to create quasiparticles of a chosen flavor on demand and program their motion and interactions makes a digital quantum processor a new experimental toolset for probing the entanglement structure generated by quasiparticle scattering.

Chan Bin Bark, Hanbyul Kim, Yoonil Koo, SeungBeom Hong, Seik Pak, Kwang Jun Ahn, Sangmo Cheon, Youngseok Kim, Moon Jip Park

The editor's rubric

Heuristic review

DimensionLevelWeightWhat that level means
Leverage███░░ 318%A method or resource many groups across the field will adopt within a year.
Magnitude███░░ 320%Large gain: roughly 2x, or a clear new state of the art on a hard, unsaturated problem.
Evidence███░░ 322%Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
Novelty███░░ 322%A genuinely new approach to an open problem.
Trajectory██░░░ 210%Some room to improve with obvious engineering.
Stakes██░░░ 28%Benefits a professional community (practitioners, clinicians, engineers).

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: breadth (many tasks); firsts (for the first time, first); design (multicenter).

How the score was computed

rank-2026-10-07

Score████░░░░░░4.2

Score = 10 × (75% × adjusted merit / 10 + 15% × attention + 10% × freshness)

Merit
5.6 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.6 / 10
Shrunk toward the desk prior by editor confidence (38%).
Attention
0%
Citations, upvotes, points, mentions.
Freshness
78%
Half-life decay since publication.

No attention signals recorded yet.

The record

  • Reviewed by heuristic-v6 on Oct 12, 2026, 07:25 UTC. Paper type: empirical.
  • Categories: quant-ph, cond-mat.str-el
  • TOP, No.3 in the Physics edition of October 12, 2026.