Observation of feedback-directed quantum dynamics in large-scale quantum processors
arXiv QuantumArchived Apr 15, 2026✓ Full text saved
arXiv:2604.11900v1 Announce Type: new Abstract: Programmable quantum hardware provides an emerging platform for exploring and controlling non-unitary quantum dynamics through measurement-based operations. In this work, we introduce feedback-directed circuit architectures that integrate spatially structured mid-circuit measurements with real-time conditional operations to steer the evolution of random dynamics, and perform their large-scale simulations (up to 100 qubits) on programmable digital q
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Quantum Physics
[Submitted on 13 Apr 2026]
Observation of feedback-directed quantum dynamics in large-scale quantum processors
Ruizhe Shen, Ching Hua Lee
Programmable quantum hardware provides an emerging platform for exploring and controlling non-unitary quantum dynamics through measurement-based operations. In this work, we introduce feedback-directed circuit architectures that integrate spatially structured mid-circuit measurements with real-time conditional operations to steer the evolution of random dynamics, and perform their large-scale simulations (up to 100 qubits) on programmable digital quantum processors. By promoting measurement from a passive readout to an active control signal, these adaptive monitored circuits enable directional information flow and generate intrinsic asymmetry in random circuit simulations. We implement this framework on IBM superconducting quantum processors and observe robust, noise-resilient signatures of feedback-induced asymmetry distinct from the more well-known non-Hermitian skin effect. Our results establish feedback as a programmable resource for non-unitary control, opening new avenues for engineering measurement-based dynamics, non-equilibrium phenomena, and tunable open-system behavior on large-scale quantum hardware.
Comments: 21 pages and 9 figures
Subjects: Quantum Physics (quant-ph); Strongly Correlated Electrons (cond-mat.str-el)
Cite as: arXiv:2604.11900 [quant-ph]
(or arXiv:2604.11900v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2604.11900
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Submission history
From: Ruizhe Shen [view email]
[v1] Mon, 13 Apr 2026 18:00:10 UTC (14,101 KB)
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