- Open Access
Separation between entanglement criteria and entanglement detection protocols
Phys. Rev. Research 7, 033121 – Published 5 August, 2025
DOI: https://doi.org/10.1103/hm8j-wgqm
Abstract
Entanglement detection is one of the most fundamental tasks in quantum information science, playing vital roles in theoretical studies and quantum system benchmarking. Researchers have proposed many powerful entanglement criteria with high detection capabilities and small observable numbers. Nonetheless, entanglement criteria only represent mathematical rules deciding the existence of entanglement. The relationship between a good entanglement criterion and an effective experimental entanglement detection protocol (EDP) is poorly understood. In this study, we introduce postulates for EDPs about their detection capabilities and robustness and use them to show the difference between entanglement criteria and EDPs. Specifically, we design an entanglement detection task for unknown pure bipartite states and demonstrate that the sample complexity of any EDP and the number of observables for a good entanglement criterion can have exponential separation. Furthermore, we discover that the optimal EDP with the lowest sample complexity does not necessarily correspond to an entanglement criterion constructed by a small number of observables. Our results can be used to prove the exponential speedups achieved through quantum memory and be generalized to multipartite entanglement detection. By highlighting the significance and independence of EDP design, our work holds practical implications for entanglement detection experiments.
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References (51)
- R. Horodecki, P. Horodecki, M. Horodecki, and K. Horodecki, Quantum entanglement, Rev. Mod. Phys. 81, 865 (2009).
- O. Gühne and G. Tóth, Entanglement detection, Phys. Rep. 474, 1 (2009).
- A. Peres, Separability criterion for density matrices, Phys. Rev. Lett. 77, 1413 (1996).
- G. Vidal and R. F. Werner, Computable measure of entanglement, Phys. Rev. A 65, 032314 (2002).
- P. Calabrese, J. Cardy, and E. Tonni, Entanglement negativity in quantum field theory, Phys. Rev. Lett. 109, 130502 (2012).
- H. Shapourian, S. Liu, J. Kudler-Flam, and A. Vishwanath, Entanglement negativity spectrum of random mixed states: A diagrammatic approach, PRX Quantum 2, 030347 (2021).
- P. Liu, Z. Liu, S. Chen, and X. Ma, Fundamental limitation on the detectability of entanglement, Phys. Rev. Lett. 129, 230503 (2022).
- J. Gray, L. Banchi, A. Bayat, and S. Bose, Machine-learning-assisted many-body entanglement measurement, Phys. Rev. Lett. 121, 150503 (2018).
- A. Elben, R. Kueng, H.-Y. R. Huang, R. van Bijnen, C. Kokail, M. Dalmonte, P. Calabrese, B. Kraus, J. Preskill, P. Zoller, and B. Vermersch, Mixed-state entanglement from local randomized measurements, Phys. Rev. Lett. 125, 200501 (2020).
- Y. Zhou, P. Zeng, and Z. Liu, Single-copies estimation of entanglement negativity, Phys. Rev. Lett. 125, 200502 (2020).
- X.-D. Yu, S. Imai, and O. Gühne, Optimal entanglement certification from moments of the partial transpose, Phys. Rev. Lett. 127, 060504 (2021).
- A. Neven, J. Carrasco, V. Vitale, C. Kokail, A. Elben, M. Dalmonte, P. Calabrese, P. Zoller, B. Vermersch, R. Kueng, and B. Kraus, Symmetry-resolved entanglement detection using partial transpose moments, npj Quantum Inf. 7, 152 (2021).
- Z. Liu, Y. Tang, H. Dai, P. Liu, S. Chen, and X. Ma, Detecting entanglement in quantum many-body systems via permutation moments, Phys. Rev. Lett. 129, 260501 (2022).
- M. Žnidarič, T. Prosen, G. Benenti, and G. Casati, Detecting entanglement of random states with an entanglement witness, J. Phys. A: Math. Theor. 40, 13787 (2007).
- U. T. Bhosale, S. Tomsovic, and A. Lakshminarayan, Entanglement between two subsystems, the Wigner semicircle and extreme-value statistics, Phys. Rev. A 85, 062331 (2012).
- G. Aubrun, S. J. Szarek, and D. Ye, Entanglement thresholds for random induced states, Commun. Pure Appl. Math. 67, 129 (2014).
- B. Collins and I. Nechita, Random matrix techniques in quantum information theory, J. Math. Phys. 57, 015215 (2016).
- M. Weilenmann, B. Dive, D. Trillo, E. A. Aguilar, and M. Navascués, Entanglement detection beyond measuring fidelities, Phys. Rev. Lett. 124, 200502 (2020).
- O. Gühne, Y. Mao, and X.-D. Yu, Geometry of faithful entanglement, Phys. Rev. Lett. 126, 140503 (2021).
- Y. Zhou, C. Guo, and X. Ma, Decomposition of a symmetric multipartite observable, Phys. Rev. A 99, 052324 (2019).
- J. Bae, A. Bera, D. Chruściński, B. C. Hiesmayr, and D. McNulty, How many mutually unbiased bases are needed to detect bound entangled states? J. Phys. A: Math. Theor. 55, 505303 (2022).
- S. Morelli, M. Huber, and A. Tavakoli, Resource-efficient high-dimensional entanglement detection via symmetric projections, Phys. Rev. Lett. 131, 170201 (2023).
- H. Häffner, W. Hänsel, C. F. Roos, J. Benhelm, D. Chek-al kar, M. Chwalla, T. Körber, U. D. Rapol, M. Riebe, P. O. Schmidt, C. Becher, O. Gühne, W. Dür, and R. Blatt, Scalable multiparticle entanglement of trapped ions, Nature (London) 438, 643 (2005).
- D. Leibfried, E. Knill, S. Seidelin, J. Britton, R. B. Blakestad, J. Chiaverini, D. B. Hume, W. M. Itano, J. D. Jost, C. Langer, R. Ozeri, R. Reichle, and D. J. Wineland, Creation of a six-atom ‘Schrödinger cat’ state, Nature (London) 438, 639 (2005).
- T. Monz, P. Schindler, J. T. Barreiro, M. Chwalla, D. Nigg, W. A. Coish, M. Harlander, W. Hänsel, M. Hennrich, and R. Blatt, 14-qubit entanglement: Creation and coherence, Phys. Rev. Lett. 106, 130506 (2011).
- J.-W. Pan, Z.-B. Chen, C.-Y. Lu, H. Weinfurter, A. Zeilinger, and M. Żukowski, Multiphoton entanglement and interferometry, Rev. Mod. Phys. 84, 777 (2012).
- A. M. Kaufman, M. E. Tai, A. Lukin, M. Rispoli, R. Schittko, P. M. Preiss, and M. Greiner, Quantum thermalization through entanglement in an isolated many-body system, Science 353, 794 (2016).
- A. Omran, H. Levine, A. Keesling, G. Semeghini, T. T. Wang, S. Ebadi, H. Bernien, A. S. Zibrov, H. Pichler, S. Choi, J. Cui, M. Rossignolo, P. Rembold, S. Montangero, T. Calarco, M. Endres, M. Greiner, V. Vuletić, and M. D. Lukin, Generation and manipulation of Schrödinger cat states in Rydberg atom arrays, Science 365, 570 (2019).
- T. Brydges, A. Elben, P. Jurcevic, B. Vermersch, C. Maier, B. P. Lanyon, P. Zoller, R. Blatt, and C. F. Roos, Probing Rényi entanglement entropy via randomized measurements, Science 364, 260 (2019).
- C. Song, K. Xu, H. Li, Y.-R. Zhang, X. Zhang, W. Liu, Q. Guo, Z. Wang, W. Ren, J. Hao, H. Feng, H. Fan, D. Zheng, D.-W. Wang, H. Wang, and S.-Y. Zhu, Generation of multicomponent atomic Schrödinger cat states of up to 20 qubits, Science 365, 574 (2019).
- X.-L. Wang, Y.-H. Luo, H.-L. Huang, M.-C. Chen, Z.-E. Su, C. Liu, C. Chen, W. Li, Y.-Q. Fang, X. Jiang, J. Zhang, L. Li, N.-L. Liu, C.-Y. Lu, and J.-W. Pan, 18-qubit entanglement with six photons' three degrees of freedom, Phys. Rev. Lett. 120, 260502 (2018).
- S. Cao et al., Generation of genuine entanglement up to 51 superconducting qubits, Nature (London) 619, 738 (2023).
- Y. Zhou, Entanglement detection under coherent noise: Greenberger-Horne-Zeilinger-like states, Phys. Rev. A 101, 012301 (2020).
- S. Morelli, H. Yamasaki, M. Huber, and A. Tavakoli, Entanglement detection with imprecise measurements, Phys. Rev. Lett. 128, 250501 (2022).
- D. Miller, D. Loss, I. Tavernelli, H. Kampermann, D. Bruß, and N. Wyderka, Shor–Laflamme distributions of graph states and noise robustness of entanglement, J. Phys. A: Math. Theor. 56, 335303 (2023).
- H.-Y. Huang, M. Broughton, J. Cotler, S. Chen, J. Li, M. Mohseni, H. Neven, R. Babbush, R. Kueng, J. Preskill, and J. R. McClean, Quantum advantage in learning from experiments, Science 376, 1182 (2022).
- S. Chen, J. Cotler, H.-Y. Huang, and J. Li, Exponential separations between learning with and without quantum memory, in 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS) (IEEE, Piscataway, NJ, 2022), pp. 574–585.
- D. N. Page, Information in black hole radiation, Phys. Rev. Lett. 71, 3743 (1993).
- A. Elben, B. Vermersch, C. F. Roos, and P. Zoller, Statistical correlations between locally randomized measurements: A toolbox for probing entanglement in many-body quantum states, Phys. Rev. A 99, 052323 (2019).
- A. Elben, S. T. Flammia, H.-Y. Huang, R. Kueng, J. Preskill, B. Vermersch, and P. Zoller, The randomized measurement toolbox, Nat. Rev. Phys. 5, 9 (2023).
- P. Cieśliński, S. Imai, J. Dziewior, O. Gühne, L. Knips, W. Laskowski, J. Meinecke, T. Paterek, and T. Vértesi, Analysing quantum systems with randomised measurements, Phys. Rep. 1095, 1 (2024).
- S. Imai, Randomized measurements as a tool in quantum information processing, Ph.D. thesis, Universität Siegen, 2023.
- F. Wei, Z. Liu, G. Liu, Z. Han, D.-L. Deng, and Z. Liu, Realizing non-physical actions through Hermitian-preserving map exponentiation, npj Quantum Inf. 10, 134 (2024).
- A. Rico and F. Huber, Entanglement detection with trace polynomials, Phys. Rev. Lett. 132, 070202 (2024).
- A. W. Harrow, Approximate orthogonality of permutation operators, with application to quantum information, Lett. Math. Phys. 114, 1 (2023).
- X.-D. Yu, J. Shang, and O. Gühne, Optimal verification of general bipartite pure states, npj Quantum Inf. 5, 112 (2019).
- M. Weilenmann, E. A. Aguilar, and M. Navascués, Analysis and optimization of quantum adaptive measurement protocols with the framework of preparation games, Nat. Commun. 12, 4553 (2021).
- C. J. Wood, J. D. Biamonte, and D. G. Cory, Tensor networks and graphical calculus for open quantum systems, Quant. Inf. Comp. 15, 0759 (2015).
- A. W. Harrow, The church of the symmetric subspace, arXiv:1308.6595.
- B. Yu, Assouad, fano, and le cam, in Festschrift for Lucien Le Cam: Research Papers in Probability and Statistics, edited by D. Pollard, E. Torgersen, and G. L. Yang (Springer, New York, NY, 1997), pp. 423–435.
- G. Aubrun, S. J. Szarek, and D. Ye, Phase transitions for random states and a semicircle law for the partial transpose, Phys. Rev. A 85, 030302 (2012).