- Open Access
Certifying Localizable Quantum Properties with Constant Sample Complexity
Phys. Rev. X 16, 041027 – Published 27 October, 2026
DOI: https://doi.org/10.1103/rkl6-hfrn
Abstract
Characterizing increasingly complex quantum systems is a central task in quantum information science, yet experimental costs often scale prohibitively with system size. Certifying key properties using simple local measurements is highly desirable but challenging. In this work, we introduce a highly general certification framework based on a physical phenomenon that we call localizable quantumness: for generic many-body states, essential quantum properties are robustly preserved within the projected ensembles on small subsystems after performing local projective measurements on the rest of the system. Leveraging this insight, we develop protocols to certify global properties—including multipartite entanglement, circuit complexity, and quantum magic—by witnessing them on a small, accessible subsystem. Remarkably, randomizing the local measurement bases extends this capability to certify state fidelity. Relying solely on local Pauli measurements, these protocols achieve constant sample complexity and robustness for almost all quantum states, including a wide range of physically relevant states. For certifying the fidelity of -qubit states, this scaling dramatically improves upon state-of-the-art protocols requiring samples. Our unified framework provides both a practical toolkit for large-scale quantum certification and a novel lens into complex many-body systems.
Physics Subject Headings (PhySH)
Popular Summary
Certifying crucial quantum resources produced by laboratory devices is a fundamental task. Yet, doing so for increasingly complex systems typically places high demands on experiments. How can we verify them with minimal experimental requirements? We develop a unified approach based on the principle of “localizable quantumness,” where measuring most qubits collapses the system’s state, concentrating signatures of its global properties into a few remaining qubits. These few qubits then serve as a compact fingerprint of the whole system, allowing us to efficiently certify essential features of the global state, such as entanglement and state fidelity. Remarkably, using simple single-qubit measurements, our method requires only a constant number of experimental repetitions, regardless of system size. Our framework thus establishes small subsystems as powerful probes into global quantum behavior, offering a practical path toward certifying large-scale quantum computers and simulators.
Article Text
References (140)
- J. Haah, A. W. Harrow, Z. Ji, X. Wu, and N. Yu, Sample-optimal tomography of quantum states, in Proceedings of the Forty-Eighth Annual ACM Symposium on Theory of Computing, STOC ’16 (2016), pp. 913–925, 10.1145/2897518.2897585.
- P. Liu, Z. Liu, S. Chen, and X. Ma, Fundamental limitation on the detectability of entanglement, Phys. Rev. Lett. 129, 230503 (2022).
- X.-L. Wang et al., Experimental ten-photon entanglement, Phys. Rev. Lett. 117, 210502 (2016).
- S. Cao et al., Generation of genuine entanglement up to 51 superconducting qubits, Nature (London) 619, 738 (2023).
- Y. Kim et al., Evidence for the utility of quantum computing before fault tolerance, Nature (London) 618, 500 (2023).
- R. Acharya et al., Quantum error correction below the surface code threshold, Nature (London) 638, 920 (2024).
- J. Eisert, D. Hangleiter, N. Walk, I. Roth, D. Markham, R. Parekh, U. Chabaud, and E. Kashefi, Quantum certification and benchmarking, Nat. Rev. Phys. 2, 382 (2020).
- M. Kliesch and I. Roth, Theory of quantum system certification, PRX Quantum 2, 010201 (2021).
- J. Carrasco, A. Elben, C. Kokail, B. Kraus, and P. Zoller, Theoretical and experimental perspectives of quantum verification, PRX Quantum 2, 010102 (2021).
- D. Mayers and A. C. Yao, Self testing quantum apparatus, Quantum Inf. Comput. 4, 273 (2004).
- J. C. Hoke et al., Measurement-induced entanglement and teleportation on a noisy quantum processor, Nature (London) 622, 481 (2023).
- P. Niroula, C. D. White, Q. Wang, S. Johri, D. Zhu, C. Monroe, C. Noel, and M. J. Gullans, Phase transition in magic with random quantum circuits, Nat. Phys. 20, 1786 (2024).
- E. Knill, D. Leibfried, R. Reichle, J. Britton, R. B. Blakestad, J. D. Jost, C. Langer, R. Ozeri, S. Seidelin, and D. J. Wineland, Randomized benchmarking of quantum gates, Phys. Rev. A 77, 012307 (2008).
- F. Arute et al., Quantum supremacy using a programmable superconducting processor, Nature (London) 574, 505 (2019).
- Y. Liu, M. Otten, R. Bassirianjahromi, L. Jiang, and B. Fefferman, Benchmarking near-term quantum computers via random circuit sampling, arXiv:2105.05232.
- D. K. Mark, J. Choi, A. L. Shaw, M. Endres, and S. Choi, Benchmarking quantum simulators using ergodic quantum dynamics, Phys. Rev. Lett. 131, 110601 (2023).
- J. Choi et al., Preparing random states and benchmarking with many-body quantum chaos, Nature (London) 613, 468 (2023).
- A. K. Ekert, Quantum cryptography based on Bell’s theorem, Phys. Rev. Lett. 67, 661 (1991).
- B. W. Reichardt, F. Unger, and U. V. Vazirani, Classical command of quantum systems, Nature (London) 496, 456 (2013).
- M. Liu et al., Certified randomness using a trapped-ion quantum processor, Nature (London) 640, 343 (2025).
- S. T. Flammia and Y.-K. Liu, Direct fidelity estimation from few Pauli measurements, Phys. Rev. Lett. 106, 230501 (2011).
- S. Pallister, N. Linden, and A. Montanaro, Optimal verification of entangled states with local measurements, Phys. Rev. Lett. 120, 170502 (2018).
- Y. Takeuchi and T. Morimae, Verification of many-qubit states, Phys. Rev. X 8, 021060 (2018).
- A. Elben, B. Vermersch, R. van Bijnen, C. Kokail, T. Brydges, C. Maier, M. K. Joshi, R. Blatt, C. F. Roos, and P. Zoller, Cross-platform verification of intermediate scale quantum devices, Phys. Rev. Lett. 124, 010504 (2020).
- M. Zwerger, W. Dür, J.-D. Bancal, and P. Sekatski, Device-independent detection of genuine multipartite entanglement for all pure states, Phys. Rev. Lett. 122, 060502 (2019).
- A. Rodriguez-Blanco, A. Bermudez, M. Müller, and F. Shahandeh, Efficient and robust certification of genuine multipartite entanglement in noisy quantum error correction circuits, PRX Quantum 2, 020304 (2021).
- H.-Y. Huang, J. Preskill, and M. Soleimanifar, Certifying almost all quantum states with few single-qubit measurements, Nat. Phys. 21, 1834 (2025).
- M. Gupta, W. He, and R. O’Donnell, Few single-qubit measurements suffice to certify any quantum state, in Proceedings of the 58th Annual ACM Symposium on Theory of Computing, STOC ’26 (2026), pp. 54–60, 10.1145/3798129.3800726.
- Y. Li and H. Zhu, Universal and efficient quantum state verification via Schmidt decomposition and mutually unbiased bases, Quantum 10, 2011 (2026).
- T. Haug and M. S. Kim, Scalable measures of magic resource for quantum computers, PRX Quantum 4, 010301 (2023).
- H.-Y. Huang, Y. Liu, M. Broughton, I. Kim, A. Anshu, Z. Landau, and J. R. McClean, Learning shallow quantum circuits, in Proceedings of the 56th Annual ACM Symposium on Theory of Computing, STOC 2024 (2024), pp. 1343–1351, 10.1145/3618260.3649722.
- Z. Landau and Y. Liu, Learning quantum states prepared by shallow circuits in polynomial time, in Proceedings of the 57th Annual ACM Symposium on Theory of Computing, STOC ’25 (2025), pp. 1828–1838, 10.1145/3717823.3718311.
- F. Verstraete, M. Popp, and J. I. Cirac, Entanglement versus correlations in spin systems, Phys. Rev. Lett. 92, 027901 (2004).
- M. Popp, F. Verstraete, M. A. Martín-Delgado, and J. I. Cirac, Localizable entanglement, Phys. Rev. A 71, 042306 (2005).
- H.-S. Kim, I. H. Kim, and D. Ranard, Learning state preparation circuits for quantum phases of matter, arXiv:2410.23544.
- J. Eisert and D. Gross, Multi-particle entanglement, arXiv:quant-ph/0505149.
- J. S. Cotler, D. K. Mark, H.-Y. Huang, F. Hernández, J. Choi, A. L. Shaw, M. Endres, and S. Choi, Emergent quantum state designs from individual many-body wave functions, PRX Quantum 4, 010311 (2023).
- W. W. Ho and S. Choi, Exact emergent quantum state designs from quantum chaotic dynamics, Phys. Rev. Lett. 128, 060601 (2022).
- M. Ippoliti and W. W. Ho, Dynamical purification and the emergence of quantum state designs from the projected ensemble, PRX Quantum 4, 030322 (2023).
- R.-A. Chang, H. Shrotriya, W. W. Ho, and M. Ippoliti, Deep thermalization under charge-conserving quantum dynamics, PRX Quantum 6, 020343 (2025).
- D. K. Mark, F. Surace, A. Elben, A. L. Shaw, J. Choi, G. Refael, M. Endres, and S. Choi, Maximum entropy principle in deep thermalization and in Hilbert-space ergodicity, Phys. Rev. X 14, 041051 (2024).
- M. McGinley, Postselection-free learning of measurement-induced quantum dynamics, PRX Quantum 5, 020347 (2024).
- Z. Du, Z.-W. Liu, and X. Ma, Spacetime quantum circuit complexity via measurements, arXiv:2408.16602.
- L. Piroli, G. Styliaris, and J. I. Cirac, Quantum circuits assisted by local operations and classical communication: Transformations and phases of matter, Phys. Rev. Lett. 127, 220503 (2021).
- T.-C. Lu, L. A. Lessa, I. H. Kim, and T. H. Hsieh, Measurement as a shortcut to long-range entangled quantum matter, PRX Quantum 3, 040337 (2022).
- X. Chen, Z.-C. Gu, and X.-G. Wen, Local unitary transformation, long-range quantum entanglement, wave function renormalization, and topological order, Phys. Rev. B 82, 155138 (2010).
- X.-G. Wen, Topological order: From long-range entangled quantum matter to an unification of light and electrons ISRN Condens. Matter Phys. 2013, 198710 (2013).
- N. Tantivasadakarn, A. Vishwanath, and R. Verresen, Hierarchy of topological order from finite-depth unitaries, measurement, and feedforward, PRX Quantum 4, 020339 (2023).
- C. Palazuelos and J. I. d. Vicente, Genuine multipartite entanglement of quantum states in the multiple-copy scenario, Quantum 6, 735 (2022).
- S. Bravyi and A. Kitaev, Universal quantum computation with ideal Clifford gates and noisy ancillas, Phys. Rev. A 71, 022316 (2005).
- A. Coladangelo, J. Li, J. Slote, and E. Wu, The power of two bases: Robust and copy-optimal certification of nearly all quantum states with few-qubit measurements, in Proceedings of the 58th Annual ACM Symposium on Theory of Computing, STOC ’26 (2026), pp. 1771–1776, 10.1145/3798129.3800884.
- H.-Y. Huang, R. Kueng, and J. Preskill, Predicting many properties of a quantum system from very few measurements, Nat. Phys. 16, 1050 (2020).
- D. A. Abanin et al., Observation of constructive interference at the edge of quantum ergodicity, Nature (London) 646, 825 (2025).
- W. Kretschmer et al., Demonstrating an unconditional separation between quantum and classical information resources, arXiv:2509.07255.
- G. Vidal, Efficient classical simulation of slightly entangled quantum computations, Phys. Rev. Lett. 91, 147902 (2003).
- F. Verstraete and J. I. Cirac, Matrix product states represent ground states faithfully, Phys. Rev. B 73, 094423 (2006).
- J. Jordan, R. Orús, G. Vidal, F. Verstraete, and J. I. Cirac, Classical simulation of infinite-size quantum lattice systems in two spatial dimensions, Phys. Rev. Lett. 101, 250602 (2008).
- G. Vidal, Class of quantum many-body states that can be efficiently simulated, Phys. Rev. Lett. 101, 110501 (2008).
- F. Pan and P. Zhang, Simulation of quantum circuits using the big-batch tensor network method, Phys. Rev. Lett. 128, 030501 (2022).
- Y.-Y. Shi, L.-M. Duan, and G. Vidal, Classical simulation of quantum many-body systems with a tree tensor network, Phys. Rev. A 74, 022320 (2006).
- A. S. Darmawan and D. Poulin, Tensor-network simulations of the surface code under realistic noise, Phys. Rev. Lett. 119, 040502 (2017).
- N. Tantivasadakarn, R. Thorngren, A. Vishwanath, and R. Verresen, Long-range entanglement from measuring symmetry-protected topological phases, Phys. Rev. X 14, 021040 (2024).
- G. Carleo and M. Troyer, Solving the quantum many-body problem with artificial neural networks, Science 355, 602 (2017).
- G. Torlai, G. Mazzola, J. Carrasquilla, M. Troyer, R. Melko, and G. Carleo, Neural-network quantum state tomography, Nat. Phys. 14, 447 (2018).
- J. Carrasquilla, G. Torlai, R. G. Melko, and L. Aolita, Reconstructing quantum states with generative models, Nat. Mach. Intell. 1, 155 (2019).
- H. Hamaguchi, K. Hamada, and N. Yoshioka, Handbook for quantifying robustness of magic, Quantum 8, 1461 (2024).
- S. Aaronson, The complexity of quantum states and transformations: From quantum money to black holes, arXiv:1607.05256.
- J. Yi, W. Ye, D. Gottesman, and Z.-W. Liu, Complexity and order in approximate quantum error-correcting codes, Nat. Phys. 20, 1798 (2024).
- H. Zhao, L. Lewis, I. Kannan, Y. Quek, H.-Y. Huang, and M. C. Caro, Learning quantum states and unitaries of bounded gate complexity, PRX Quantum 5, 040306 (2024).
- F. G. S. L. Brandão, W. Chemissany, N. Hunter-Jones, R. Kueng, and J. Preskill, Models of quantum complexity growth, PRX Quantum 2, 030316 (2021).
- A. R. Brown and L. Susskind, Second law of quantum complexity, Phys. Rev. D 97, 086015 (2018).
- L. Susskind, Black holes and complexity classes, arXiv:1802.02175.
- M. Oszmaniec, M. Kotowski, M. Horodecki, and N. Hunter-Jones, Saturation and recurrence of quantum complexity in random local quantum dynamics, Phys. Rev. X 14, 041068 (2024).
- M. B. Hastings and X.-G. Wen, Quasiadiabatic continuation of quantum states: The stability of topological ground-state degeneracy and emergent gauge invariance, Phys. Rev. B 72, 045141 (2005).
- H. J. Briegel and R. Raussendorf, Persistent entanglement in arrays of interacting particles, Phys. Rev. Lett. 86, 910 (2001).
- S. Bravyi, I. Kim, A. Kliesch, and R. Koenig, Adaptive constant-depth circuits for manipulating non-Abelian anyons, arXiv:2205.01933.
- M. McGinley, W. W. Ho, and D. Malz, Measurement-induced entanglement and complexity in random constant-depth 2d quantum circuits, Phys. Rev. X 15, 021059 (2025).
- G. Vidal, Entanglement monotones, J. Mod. Opt. 47, 355 (2000).
- Z.-W. Liu, S. Lloyd, E. Zhu, and H. Zhu, Entanglement, quantum randomness, and complexity beyond scrambling, J. High Energy Phys. 07 (2018) 041.
- F. G. S. L. Brandão, A. W. Harrow, and M. Horodecki, Local random quantum circuits are approximate polynomial-designs, Commun. Math. Phys. 346, 397 (2016).
- A. Nahum, J. Ruhman, S. Vijay, and J. Haah, Quantum entanglement growth under random unitary dynamics, Phys. Rev. X 7, 031016 (2017).
- J. Haferkamp, P. Faist, N. B. T. Kothakonda, J. Eisert, and N. Yunger Halpern, Linear growth of quantum circuit complexity, Nat. Phys. 18, 528 (2022).
- 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).
- N. Friis, G. Vitagliano, M. Malik, and M. Huber, Entanglement certification from theory to experiment, Nat. Rev. Phys. 1, 72 (2019).
- G. Riccardi, D. E. Jones, X.-D. Yu, O. Gühne, and B. T. Kirby, Exploring the relationship between the faithfulness and entanglement of two qubits, Phys. Rev. A 103, 042417 (2021).
- L. Gurvits, Classical deterministic complexity of Edmonds’ problem and quantum entanglement, in Proceedings of the Thirty-Fifth Annual ACM Symposium on Theory of Computing, STOC ’03 (2023), pp. 10–19, 10.1145/780542.780545.
- Z. Liu and F. Wei, Separation between entanglement criteria and entanglement detection protocols, Phys. Rev. Res. 7, 033121 (2025).
- A. Dimić and B. Dakić, Single-copy entanglement detection, npj Quantum Inf. 4 (2018).
- J. Acharya, I. Issa, N. V. Shende, and A. B. Wagner, Estimating quantum entropy, IEEE J. Sel. Areas Inf. Theor. 1, 454 (2020).
- L. Leone, J. Rizzo, J. Eisert, and S. Jerbi, Entanglement theory with limited computational resources, Nat. Phys. 21, 1847 (2025).
- M. Takahashi, Thermodynamics of One-Dimensional Solvable Models (Cambridge University Press, Cambridge, England, 1999).
- P. Calabrese and J. Cardy, Entanglement entropy and quantum field theory, J. Stat. Mech. (2004) P06002.
- S.-J. Gu, G.-S. Tian, and H.-Q. Lin, Ground-state entanglement in the model, Phys. Rev. A 71, 052322 (2005).
- 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. Luo, H. Zhang, A. Chu, C. Maruko, A. M. Rey, and J. K. Thompson, Hamiltonian engineering of collective XYZ spin models in an optical cavity, Nat. Phys. 21, 916 (2025).
- S. R. White, Density matrix formulation for quantum renormalization groups, Phys. Rev. Lett. 69, 2863 (1992).
- K. Okamoto and K. Nomura, Fluid-dimer critical point in antiferromagnetic Heisenberg chain with next nearest neighbor interactions, Phys. Lett. A 169, 433 (1992).
- C. K. Majumdar and D. K. Ghosh, On next-nearest-neighbor interaction in linear chain. I, J. Math. Phys. (N.Y.) 10, 1388 (1969).
- R. Bursill, G. A. Gehring, D. J. J. Farnell, J. B. Parkinson, T. Xiang, and C. Zeng, Numerical and approximate analytical results for the frustrated spin- quantum spin chain, J. Phys. Condens. Matter 7, 8605 (1995).
- M. Pregelj, A. Zorko, O. Zaharko, H. Nojiri, H. Berger, L. C. Chapon, and D. Arčon, Spin-stripe phase in a frustrated zigzag spin- chain, Nat. Commun. 6, 7255 (2015).
- T. A. Chowdhury, K. Yu, M. A. Shamim, M. L. Kabir, and R. S. Sufian, Enhancing quantum utility: Simulating large-scale quantum spin chains on superconducting quantum computers, Phys. Rev. Res. 6, 033107 (2024).
- S. Bravyi, G. Smith, and J. A. Smolin, Trading classical and quantum computational resources, Phys. Rev. X 6, 021043 (2016).
- S. Bravyi, D. Browne, P. Calpin, E. Campbell, D. Gosset, and M. Howard, Simulation of quantum circuits by low-rank stabilizer decompositions, Quantum 3, 181 (2019).
- J. R. Seddon, B. Regula, H. Pashayan, Y. Ouyang, and E. T. Campbell, Quantifying quantum speedups: Improved classical simulation from tighter magic monotones, PRX Quantum 2, 010345 (2021).
- Z.-W. Liu and A. Winter, Many-body quantum magic, PRX Quantum 3, 020333 (2022).
- L. Leone, Salvatore F. E. Oliviero, and A. Hamma, Stabilizer Rényi entropy, Phys. Rev. Lett. 128, 050402 (2022).
- T. Haug, S. Lee, and M. S. Kim, Efficient quantum algorithms for stabilizer entropies, Phys. Rev. Lett. 132, 240602 (2024).
- D. Gross, S. Nezami, and M. Walter, Schur–Weyl duality for the Clifford group with applications: Property testing, a robust Hudson theorem, and de Finetti representations, Commun. Math. Phys. 385, 1325 (2021).
- M. Hinsche and J. Helsen, Single-copy stabilizer testing, in Proceedings of the 57th Annual ACM Symposium on Theory of Computing, STOC ’25 (2025), pp. 439–450, 10.1145/3717823.3718169.
- K. Warmuz, E. Dokudowiec, C. Radhakrishnan, and T. Byrnes, Magic monotone for faithful detection of nonstabilizerness in mixed states, Phys. Rev. Lett. 135, 010203 (2025).
- F. Wei and Z.-W. Liu, Long-range nonstabilizerness and quantum codes, phases, and complexity, arXiv:2503.04566.
- D. Gottesman, Stabilizer codes and quantum error correction, arXiv:quant-ph/9705052.
- X. Turkeshi, E. Tirrito, and P. Sierant, Magic spreading in random quantum circuits, Nat. Commun. 16 (2025).
- L. Leone, S. F. E. Oliviero, A. Hamma, J. Eisert, and L. Bittel, The non-Clifford cost of random unitaries, PRX Quantum 7, 020321 (2026).
- C. Gidney, N. Shutty, and C. Jones, Magic state cultivation: Growing t states as cheap as cnot gates, arXiv:2409.17595.
- Y. Zhang and Y. Gu, Quantum magic dynamics in random circuits, npj Quantum Inf. 12, 87 (2026).
- A. M. Dalzell, N. Hunter-Jones, and F. G. S. L. Brandão, Random quantum circuits transform local noise into global white noise, Commun. Math. Phys. 405 (2024).
- J. J. Wallman and J. Emerson, Noise tailoring for scalable quantum computation via randomized compiling, Phys. Rev. A 94, 052325 (2016).
- A. Hashim, R. K. Naik, A. Morvan, J. L. Ville, B. Mitchell, J. M. Kreikebaum, M. Davis, E. Smith, C. Iancu, K. P. OBrien, I. Hincks, J. J. Wallman, J. Emerson, and I. Siddiqi, Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor, Phys. Rev. X 11, 041039 (2021).
- R. Raussendorf and H. J. Briegel, A one-way quantum computer, Phys. Rev. Lett. 86, 5188 (2001).
- M. Hein, J. Eisert, and H. J. Briegel, Multiparty entanglement in graph states, Phys. Rev. A 69, 062311 (2004).
- Z. Li, H. Zhu, and M. Hayashi, Robust and efficient verification of graph states in blind measurement-based quantum computation, npj Quantum Inf. 9, 115 (2023).
- H. Zhu and M. Hayashi, Efficient verification of hypergraph states, Phys. Rev. Appl. 12, 054047 (2019).
- H. Lóio, G. Lami, L. Leone, M. McGinley, X. Turkeshi, and J. D. Nardis, Quantum state designs via magic teleportation, arXiv:2510.13950.
- Z.-Y. Ge and F. Nori, Identifying entanglement phases with bipartite projected ensembles, Phys. Rev. Res. 7, 043022 (2025).
- 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 (2022).
- A. Mari, K. Kieling, B. M. Nielsen, E. S. Polzik, and J. Eisert, Directly estimating nonclassicality, Phys. Rev. Lett. 106, 010403 (2011).
- M. Hebenstreit, R. Jozsa, B. Kraus, S. Strelchuk, and M. Yoganathan, All pure fermionic non-Gaussian states are magic states for matchgate computations, Phys. Rev. Lett. 123, 080503 (2019).
- M. Gluza, M. Kliesch, J. Eisert, and L. Aolita, Fidelity witnesses for fermionic quantum simulations, Phys. Rev. Lett. 120, 190501 (2018).
- M. Fishman, S. R. White, and E. M. Stoudenmire, The itensor software library for tensor network calculations, SciPost Phys. Codebases 4 (2022).
- A. Javadi-Abhari et al., Quantum computing with qiskit, arXiv:2405.08810.
- Z. Du, Certifying localizable quantum properties with constant sample complexity (code repository), https://github.com/ZhenyuDu01/Certifying-localizable-quantum-properties-with-constant-sample-complexity (2025).
- A. W. Harrow, L. Kong, Z.-W. Liu, S. Mehraban, and P. W. Shor, Separation of out-of-time-ordered correlation and entanglement, PRX Quantum 2, 020339 (2021).
- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information: 10th Anniversary Edition (Cambridge University Press, Cambridge, England, 2012).
- J. Watrous, The Theory of Quantum Information (Cambridge University Press, Cambridge, England, 2018).
- G. Aubrun and S. Szarek, Alice and Bob Meet Banach (American Mathematical Society, Providence, RI, 2017).
- J. A. Tropp, On the conditioning of random subdictionaries, Appl. Comput. Harmon. Anal. 25, 1 (2008).
- M. Rudelson and R. Vershynin, Hanson-Wright inequality and sub-Gaussian concentration, Electron. Commun. Probab. 18, 1 (2013).
- M. E. H. Ismail and P. Simeonov, Complex Hermite polynomials: Their combinatorics and integral operators, Proc. Am. Math. Soc. 143, 1397 (2015).
