- Open Access
Randomly Monitored Quantum Codes
PRX Quantum 7, 020352 – Published 5 June, 2026
DOI: https://doi.org/10.1103/6s65-ylvw
Abstract
Recent studies of monitored quantum dynamics have revealed that projective measurements, traditionally viewed as decohering operations, can instead generate and sustain long-range entanglement. Motivated by these, we ask how many physical qubits must be measured in random basis to irreversibly destroy quantum information encoded in a quantum error-correcting code. We study this problem for a broad class of stabilizer and subsystem codes, derive necessary and sufficient conditions for measurement-induced information destruction, and show that many codes, including concatenated and topological codes, achieve the maximal measurement threshold , meaning that the encoded information survives as long as arbitrarily small but finite fraction of physical qubits remain unmeasured. Beyond this surprising robustness, we find a structural relation underlying maximal thresholds. Namely, we prove that if the Pauli basis of the logical operator measured at full measurement does not concentrate on a single Pauli, then the measurement threshold always satisfies . This result uncovers a structural relation between logical measurement statistics and stability under partial measurement, revealing a general mechanism by which access to measurement outcomes enhances decodability under monitored dynamics.
Physics Subject Headings (PhySH)
Popular Summary
Quantum measurements have long been regarded as destroying quantum information. Does this belief hold even when that information is protected in quantum error-correcting codes? We found that a broad class of quantum error-correcting codes, including the leading designs used in quantum computing research, is remarkably robust against local random measurements. In fact, the encoded information can survive even when nearly every physical qubit has been randomly measured. We explain this phenomenon by proving a general structural relation between the maximum measurement threshold and the measurement statistics of the logical operator. Our work suggests that, even after random measurements, a modest degree of quantum encoding can enable a system to retain memory of its initial state, opening a new perspective on their role in quantum information processing.
Article Text
References (49)
- M. Schlosshauer, Decoherence, the measurement problem, and interpretations of quantum mechanics, Rev. Mod. Phys. 76, 1267 (2005).
- Although the environment-induced decoherence model provides a partial explanation, the precise mechanism underlying the quantum-to-classical transition in macroscopic systems remains an open problem; see Secs. 2–3 of Ref. [1].
- B. Skinner, J. Ruhman, and A. Nahum, Measurement-induced phase transitions in the dynamics of entanglement, Phys. Rev. X 9, 031009 (2019).
- Y. Li, X. Chen, and M. P. A. Fisher, Quantum Zeno effect and the many-body entanglement transition, Phys. Rev. B 98, 205136 (2018).
- A. Chan, R. M. Nandkishore, M. Pretko, and G. Smith, Unitary-projective entanglement dynamics, Phys. Rev. B 99, 224307 (2019).
- S. Choi, Y. Bao, X.-L. Qi, and E. Altman, Quantum error correction in scrambling dynamics and measurement-induced phase transition, Phys. Rev. Lett. 125, 030505 (2020).
- Y. Li, S. Vijay, and M. P. A. Fisher, Entanglement domain walls in monitored quantum circuits and the directed polymer in a random environment, PRX Quantum 4, 010331 (2023).
- Y. Li and M. P. A. Fisher, Statistical mechanics of quantum error correcting codes, Phys. Rev. B 103, 104306 (2021).
- Y. Bao, S. Choi, and E. Altman, Theory of the phase transition in random unitary circuits with measurements, Phys. Rev. B 101, 104301 (2020).
- M. J. Gullans and D. A. Huse, Scalable probes of measurement-induced criticality, Phys. Rev. Lett. 125, 070606 (2020).
- Y. Li, X. Chen, and M. P. A. Fisher, Measurement-driven entanglement transition in hybrid quantum circuits, Phys. Rev. B 100, 134306 (2019).
- M. J. Gullans and D. A. Huse, Dynamical purification phase transition induced by quantum measurements, Phys. Rev. X 10, 041020 (2020).
- M. P. A. Fisher, V. Khemani, A. Nahum, and S. Vijay, Random quantum circuits, Annu. Rev. Condens. Matter Phys. 14, 335 (2023).
- B. Yoshida, Projective measurement of black holes, arXiv:2203.04968.
- S. Antonini, G. Bentsen, C. Cao, J. Harper, S.-K. Jian, and B. Swingle, Holographic measurement and bulk teleportation, J. High Energy Phys. 2022, 124 (2022).
- Thomas Botzung, Michael Buchhold, S. Diehl, and M. Müller, Robustness and measurement-induced percolation of the surface code, arXiv:2311.14338.
- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information (Cambridge University Press, Cambridge, 2000).
- Alternatively, one may first update the stabilizer group of the code according to Theorem 1 and then construct the Choi state of the updated code. In that case, the resulting Choi state may involve fewer than reference qubits if some logical qubits have been destroyed by the measurements.
- D. Fattal, T. S. Cubitt, Y. Yamamoto, S. Bravyi, and I. L. Chuang, Entanglement in the stabilizer formalism, arXiv:quant-ph/0406168.
- S. Bravyi and B. Terhal, A no-go theorem for a two-dimensional self-correcting quantum memory based on stabilizer codes, New J. Phys. 11, 043029 (2009).
- D. Poulin, Stabilizer formalism for operator quantum error correction, Phys. Rev. Lett. 95, 230504 (2005).
- D. Bacon, Operator quantum error-correcting subsystems for self-correcting quantum memories, Phys. Rev. A 73, 012340 (2006).
- The Hilbert space decomposition in Eq. (24) can be constructed by choosing one particular set of bare and gauge logical operators and defining the basis states by their eigenvectors.
- S. Bravyi, Subsystem codes with spatially local generators, Phys. Rev. A 83, 012320 (2011).
- B. Yoshida and I. L. Chuang, Framework for classifying logical operators in stabilizer codes, Phys. Rev. A 81, 052302 (2010).
- J. Haah and J. Preskill, Logical-operator tradeoff for local quantum codes, Phys. Rev. A 86, 032308 (2012).
- F. Pastawski, B. Yoshida, D. Harlow, and J. Preskill, Holographic quantum error-correcting codes: Toy models for the bulk/boundary correspondence, J. High Energy Phys. 2015, 149 (2015).
- H. Bombin and M. A. Martin-Delgado, Exact topological quantum order in and beyond: Branyons and brane-net condensates, Phys. Rev. B 75, 075103 (2007).
- The python code used for the numerical simulation can be found at Ref. [45].
- S. B. Bravyi and A. Y. Kitaev, Quantum codes on a lattice with boundary, arXiv:quant-ph/9811052.
- J. A. Smolin, F. Verstraete, and A. Winter, Entanglement of assistance and multipartite state distillation, Phys. Rev. A 72, 052317 (2005).
- B. Yoshida, Decoding the entanglement structure of monitored quantum circuits, arXiv:2109.08691.
- B. Yoshida and A. Kitaev, Efficient decoding for the Hayden-Preskill protocol, arXiv:1710.03363.
- D. A. Roberts and B. Yoshida, Chaos and complexity by design, J. High Energy Phys. 2017, 121 (2017).
- X. Dong, D. Harlow, and A. C. Wall, Reconstruction of bulk operators within the entanglement wedge in gauge-gravity duality, Phys. Rev. Lett. 117, 021601 (2016).
- This observation ignores the corrections and assumes that all the bulk fields other than are negligible. Also, the maximal tension of the EoW brane is constrained by the AdS radius, see Ref. [49] for instance.
- S. Aaronson, Shadow tomography of quantum states, arXiv:1711.01053.
- H.-Y. Huang, R. Kueng, and J. Preskill, Predicting many properties of a quantum system from very few measurements, Nat. Phys. 16, 1050 (2020).
- M. Ippoliti, Y. Li, T. Rakovszky, and V. Khemani, Operator relaxation and the optimal depth of classical shadows, Phys. Rev. Lett 130, 230403 (2023).
- H.-Y. Hu, R. LaRose, Y.-Z. You, E. Rieffel, and Z. Wang, Logical shadow tomography: Efficient estimation of error-mitigated observables, arXiv:2203.07263.
- J. Bringewatt, J. Kunjummen, and N. Mueller, Randomized measurement protocols for lattice gauge theories, Quantum 8, 1300 (2024).
- J. C. Wierman, On the range of bond percolation thresholds for fully triangulated graphs, J. Phys. A:Math. Gen. 35, 959 (2002).
- At , the logical operator is measured with unit probability, as the bond percolation threshold of the union jack lattice () is strictly less than . This is consistent with Theorem 5.
- A.-R. Negari, S. Sahu, J. Behrends, B. Béri, and T. H. Hsieh, Critical non-equilibrium phases from noisy topological memories, arXiv:2601.10792 [quant-ph].
- https://github.com/Dongjjin/Measurement-threshold-simulation.git.
- S. Sang, T. H. Hsieh, and Y. Zou, Approximate quantum error correcting codes from conformal field theory, arXiv:2406.09555 [quant-ph].
- S. Chirame, A. Prem, S. Gopalakrishnan, and F. J. Burnell, Stabilizing non-abelian topological order against heralded noise via local lindbladian dynamics, PRX Quantum 6, 030363 (2025).
- H. Bombin, R. S. Andrist, M. Ohzeki, H. G. Katzgraber, and M. A. Martin-Delgado, Strong resilience of topological codes to depolarization, Phys. Rev. X 2, 021004 (2012).
- T. Takayanagi, Holographic dual of a boundary conformal field theory, Phys. Rev. Lett. 107, 101602 (2011).
