Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

Export citation

Export citation

Choose format for download:

Download Citation
  • Open Access

Resource-efficient shadow tomography using equatorial stabilizer measurements

Guedong Park, Yong Siah Teo*, and Hyunseok Jeong†

  • NextQuantum Innovation Research Center, Department of Physics and Astronomy, Seoul National University, Seoul 08826, Republic of Korea

  • *Contact author: ys_teo@snu.ac.kr
  • †Contact author: h.jeong37@gmail.com

Phys. Rev. Research 7, 033097 – Published 28 July, 2025

DOI: https://doi.org/10.1103/9pbp-jzr9

Abstract

We propose a resource-efficient shadow-tomography scheme using equatorial-stabilizer measurements generated from subsets of Clifford unitaries. For n-qubit systems, equatorial-stabilizer-based shadow-tomography schemes can estimate M observables (up to an additive error ɛ) using O(log(M),poly(n),1/ɛ2) sampling copies for a large class of observables, including those with traceless parts possessing polynomially bounded Frobenius norms. For arbitrary quantum-state observables with a constant Frobenius norm, sampling complexity becomes n independent. Our scheme only requires an n-depth controlled-Z (CZ) circuit [O(n2) CZ gates] and Pauli measurements per sampling copy. Alternatively, our scheme is realizable with 2n-depth circuits comprising n2 nearest-neighboring cnot gates, exhibiting a smaller maximal gate count relative to previously known randomized-Clifford-based proposals. We numerically confirm our theoretically derived shadow-tomographic sampling complexities with random pure states and multiqubit graph states. Finally, we demonstrate that equatorial-stabilizer-based shadow tomography is more noise tolerant than randomized-Clifford-based schemes in terms of fidelity estimation for the Greenberger–Horne–Zeilinger state and W state.

View figure in article

Physics Subject Headings (PhySH)

Article Text

References (81)

  1. P. W. Shor, Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer, SIAM J. Comput. 26, 1484 (1997).
  2. D. Deutsch and R. Jozsa, Rapid solution of problems by quantum computation, Proc. R. Soc. London A 439, 553 (1992).
  3. D. Gavinsky, M. Roetteler, and J. Roland, Quantum algorithm for the Boolean hidden shift problem, in Computing and Combinatorics, Lecture Notes in Computer Science Vol. 6842 (Springer, Berlin, Heidelberg, 2011), pp. 158–167.
  4. G. M. D'Ariano, M. De Laurentis, M. G. Paris, A. Porzio, and S. Solimeno, Quantum tomography as a tool for the characterization of optical devices, J. Opt. B 4, S127 (2002).
  5. Edited by M. G. A. Paris and J. Řeháček, in Quantum State Estimation, Lecture Notes in Physics Vol. 649 (Springer, Berlin, 2004).
  6. R. O'Donnell and J. Wright, Efficient quantum tomography, Proc. Annu. ACM Symp. Theory Comput. 899 (2016).
  7. E. Nielsen, J. K. Gamble, K. Rudinger, T. Scholten, K. Young, and R. Blume-Kohout, Gate set tomography, Quantum 5, 557 (2021).
  8. S. Aaronson, Shadow tomography of quantum states Proc. Annu. ACM Symp. Theory Comput. 325 (2018).
  9. H.-Y. Huang, R. Kueng, and J. Preskill, Predicting many properties of a quantum system from very few measurements, Nat. Phys. 16, 1050 (2020).
  10. A. Acharya, S. Saha, and A. M. Sengupta, Shadow tomography based on informationally complete positive operator-valued measure, Phys. Rev. A 104, 052418 (2021).
  11. H.-Y. Huang, S. Chen, and J. Preskill, Learning to Predict Arbitrary Quantum Processes, PRX Quantum 4, 040337 (2023).
  12. L. Leone, S. F. Oliviero, and A. Hamma, Stabilizer Rényi entropy, Phys. Rev. Lett. 128, 050402 (2022).
  13. S. F. Oliviero, L. Leone, A. Hamma, and S. Lloyd, Measuring magic on a quantum processor, npj Quantum Inf. 8, 148 (2022).
  14. Z. Webb, The Clifford group forms a unitary 3-design, Quantum Inf. Comput. 16, 1379 (2016).
  15. H. Zhu, Multiqubit Clifford groups are unitary 3-designs, Phys. Rev. A 96, 062336 (2017).
  16. R. Kueng and D. Gross, Qubit stabilizer states are complex projective 3-designs, arXiv:1510.02767.
  17. Z. Puchała and J. Miszczak, Symbolic integration with respect to the Haar measure on the unitary groups, Bull. Pol. Acad. Sci. 65, 21 (2017).
  18. D. Maslov and W. Yang, CNOT circuits need little help to implement arbitrary Hadamard-free Clifford transformations they generate, npj Quantum Inf. 9, 96 (2023).
  19. S. Bravyi and D. Maslov, Hadamard-free circuits expose the structure of the Clifford group, IEEE Trans. Inf. Theory 67, 4546 (2021).
  20. C. Bertoni, J. Haferkamp, M. Hinsche, M. Ioannou, J. Eisert, and H. Pashayan, Shallow shadows: Expectation estimation using low-depth random clifford circuits, Phys. Rev. Lett. 133, 020602 (2024).
  21. A. A. Akhtar, H.-Y. Hu, and Y.-Z. You, Scalable and flexible classical shadow tomography with tensor networks, Quantum 7, 1026 (2023).
  22. H.-Y. Hu, S. Choi, and Y.-Z. You, Classical shadow tomography with locally scrambled quantum dynamics, Phys. Rev. Res. 5, 023027 (2023).
  23. D. Grier, H. Pashayan, and L. Schaeffer, Sample-optimal classical shadows for pure states, Quantum 8, 1373 (2024).
  24. H. C. Nguyen, J. L. Bönsel, J. Steinberg, and O. Gühne, Optimizing shadow tomography with generalized measurements, Phys. Rev. Lett. 129, 220502 (2022).
  25. S. Bravyi and A. Kitaev, Universal quantum computation with ideal Clifford gates and noisy ancillas, Phys. Rev. A 71, 022316 (2005).
  26. X. Wang, X. Zhan, Y. Li, L. Xiao, G. Zhu, D. Qu, Q. Lin, Y. Yu, and P. Xue, Generalized quantum measurements on a higher-dimensional system via quantum walks, Phys. Rev. Lett. 131, 150803 (2023).
  27. S. Bravyi and J. Haah, Magic-state distillation with low overhead, Phys. Rev. A 86, 052329 (2012).
  28. S. T. Flammia and Y.-K. Liu, Direct fidelity estimation from few pauli measurements, Phys. Rev. Lett. 106, 230501 (2011).
  29. M. P. da Silva, O. Landon-Cardinal, and D. Poulin, Practical characterization of quantum devices without tomography, Phys. Rev. Lett. 107, 210404 (2011).
  30. S. Aaronson and D. Gottesman, Improved simulation of stabilizer circuits, Phys. Rev. A 70, 052328 (2004).
  31. S. Bravyi and D. Gosset, Improved classical simulation of quantum circuits dominated by Clifford gates, Phys. Rev. Lett. 116, 250501 (2016).
  32. 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).
  33. Q. Zhang, Q. Liu, and Y. Zhou, Minimal-clifford shadow estimation by mutually unbiased bases, Phys. Rev. Appl. 21, 064001 (2024).
  34. Y. Wang and W. Cui, Classical shadow tomography with mutually unbiased bases, Phys. Rev. A 109, 062406 (2024).
  35. T. Durt, B.-G. Englert, I. Bengtsson, and K. Życzkowski, On mutually unbiased bases, Int. J. Quantum Inf. 08, 535 (2010).
  36. D. Maslov and M. Roetteler, Shorter stabilizer circuits via Bruhat decomposition and quantum circuit transformations, IEEE Trans. Inform. Theory 64, 4729 (2018).
  37. T. Schuster, J. Haferkamp, and H.-Y. Huang, Random unitaries in extremely low depth, arXiv:2407.07754.
  38. D. M. Greenberger, M. A. Horne, and A. Zeilinger, Going beyond Bell's theorem, arXiv:0712.0921.
  39. W. Dür, G. Vidal, and J. I. Cirac, Three qubits can be entangled in two inequivalent ways, Phys. Rev. A 62, 062314 (2000).
  40. D. Gottesman, The Heisenberg representation of quantum computers, arXiv:quant-ph/9807006.
  41. See Appendix for additional detailed explanations and proofs of this paper.
  42. M. Lerasle, Lecture notes: Selected topics on robust statistical learning theory, arXiv:1908.10761.
  43. C. Blair, Problem complexity and method efficiency in optimization (A. S. Nemirovsky and D. B. Yudin), SIAM Rev. 27, 264 (1985).
  44. M. R. Jerrum, L. G. Valiant, and V. V. Vazirani, Random generation of combinatorial structures from a uniform distribution, Theor. Comput. Sci. 43, 169 (1986).
  45. A. J. Scott, Tight informationally complete quantum measurements, J. Phys. A: Math. Theor. 39, 13507 (2006).
  46. D. Maslov and B. Zindorf, Depth optimization of CZ, CNOT, and Clifford circuits, IEEE Trans. Quantum Eng. 3, 1 (2022).
  47. A. M. Dalzell, N. Hunter-Jones, and F. G. S. L. Brandão, Random quantum circuits anticoncentrate in log depth, PRX Quantum 3, 010333 (2022).
  48. H. J. Briegel and R. Raussendorf, Persistent entanglement in arrays of interacting particles, Phys. Rev. Lett. 86, 910 (2001).
  49. S. Anders and H. J. Briegel, Fast simulation of stabilizer circuits using a graph-state representation, Phys. Rev. A 73, 022334 (2006).
  50. A. Bärtschi and S. Eidenbenz, Fundamentals of Computation Theory (Springer International Publishing, Denmark, 2019), pp. 126–139.
  51. C. Berge and J. C. Fournier, A short proof for a generalization of Vizing's theorem, J. Graph. Theory 15, 333 (1991).
  52. J. Misra and D. Gries, A constructive proof of Vizing's theorem, Inf. Process. Lett. 41, 131 (1992).
  53. S. Bravyi, J. A. Latone, and D. Maslov, 6-qubit optimal Clifford circuits, npj Quantum Inf. 8, 79 (2022).
  54. R. Duncan, S. P. Aleks Kissinger, and J. van de Wetering, Graph-theoretic simplification of quantum circuits with the ZX-calculus, Quantum 4, 279 (2020).
  55. K. Tsubouchi, T. Sagawa, and N. Yoshioka, Universal cost bound of quantum error mitigation based on quantum estimation theory, Phys. Rev. Lett. 131, 210601 (2023).
  56. R. LaRose, A. Tikku, É. O'Neel-Judy, L. Cincio, and P. J. Coles, Variational quantum state diagonalization, 6-qubit optimal Clifford circuits, npj Quantum Inf. 5, 57 (2019).
  57. L. Catani and D. E. Browne, State-injection schemes of quantum computation in Spekkens' toy theory, Phys. Rev. A 98, 052108 (2018).
  58. J. Emerson, M. Silva, O. Moussa, C. Ryan, M. Laforest, J. Baugh, D. G. Cory, and R. Laflamme, Symmetrized characterization of noisy quantum processes, Science 317, 1893 (2007).
  59. J. J. Wallman and J. Emerson, Noise tailoring for scalable quantum computation via randomized compiling, Phys. Rev. A 94, 052325 (2016).
  60. S. J. Evered, D. Bluvstein, M. Kalinowski, S. Ebadi, T. Manovitz, H. Zhou, S. H. Li, A. A. Geim, T. T. Wang, N. Maskara, H. Levine, G. Semeghini, M. Greiner, V. Vuletić, and M. D. Lukin, High-fidelity parallel entangling gates on a neutral-atom quantum computer, Nature (London) 622, 268 (2023).
  61. X. Xue, M. Russ, N. Samkharadze, B. Undseth, A. Sammak, G. Scappucci, and L. M. K. Vandersypen, Quantum logic with spin qubits crossing the surface code threshold, Nature (London) 601, 343 (2022).
  62. V. Negîrneac, H. Ali, N. Muthusubramanian, F. Battistel, R. Sagastizabal, M. S. Moreira, J. F. Marques, W. J. Vlothuizen, M. Beekman, C. Zachariadis, N. Haider, A. Bruno, and L. DiCarlo, High-fidelity controlled-Z gate with maximal intermediate leakage operating at the speed limit in a superconducting quantum processor, Phys. Rev. Lett. 126, 220502 (2021).
  63. H. Jnane, J. Steinberg, Z. Cai, H. C. Nguyen, and B. Koczor, Quantum error mitigated classical shadows, PRX Quantum 5, 010324 (2024).
  64. D. E. Koh and S. Grewal, Classical shadows with noise, Quantum 6, 776 (2022).
  65. P.-G. Rozon, N. Bao, and K. Agarwal, Optimal twirling depth for classical shadows in the presence of noise, Phys. Rev. Lett. 133, 130803 (2024).
  66. S. Shi, B. Xu, K. Zhang, G.-S. Ye, D.-S. Xiang, Y. Liu, J. Wang, D. Su, and L. Li, High-fidelity photonic quantum logic gate based on near-optimal Rydberg single-photon source, Nat. Commun. 13, 4454 (2022).
  67. T. Xie, Z. Zhao, S. Xu, X. Kong, Z. Yang, M. Wang, Y. Wang, F. Shi, and J. Du, 99.92%-fidelity CNOT gates in solids by noise filtering, Phys. Rev. Lett. 130, 030601 (2023).
  68. T. G. d. Brugière, M. Baboulin, B. Valiron, S. Martiel, and C. Allouche, Reducing the depth of linear reversible quantum circuits, IEEE Trans. Quantum Eng. 2, 1 (2021).
  69. J. Jiang, X. Sun, S.-H. Teng, B. Wu, K. Wu, and J. Zhang, Optimal space-depth trade-off of CNOT circuits in quantum logic synthesis, Proc. Annu. ACM-SIAM Symp. Discrete Algorithms 213 (2020).
  70. S. A. Kutin, D. P. Moulton, and L. M. Smithline, Computation at a distance, arXiv:quant-ph/0701194.
  71. J.-M. Lee, W.-J. Lee, M.-S. Kim, S. Cho, J. J. Ju, G. Navickaite, and J. Fernandez, Controlled-NOT operation of sin-photonic circuit using photon pairs from silicon-photonic circuit, Opt. Commun. 509, 127863 (2022).
  72. A. Russo, E. Barnes, and S. E. Economou, Photonic graph state generation from quantum dots and color centers for quantum communications, Phys. Rev. B 98, 085303 (2018).
  73. M. Rimbach-Russ, S. G. J. Philips, X. Xue, and L. M. K. Vandersypen, Simple framework for systematic high-fidelity gate operations, Quantum Sci. Technol. 8, 045025 (2023).
  74. T. M. Graham, M. Kwon, B. Grinkemeyer, Z. Marra, X. Jiang, M. T. Lichtman, Y. Sun, M. Ebert, and M. Saffman, Rydberg-mediated entanglement in a two-dimensional neutral atom qubit array, Phys. Rev. Lett. 123, 230501 (2019).
  75. H. Levine, A. Keesling, G. Semeghini, A. Omran, T. T. Wang, S. Ebadi, H. Bernien, M. Greiner, V. Vuletić', H. Pichler, and M. D. Lukin, Parallel implementation of high-fidelity multiqubit gates with neutral atoms, Phys. Rev. Lett. 123, 170503 (2019).
  76. M. Saffman, I. I. Beterov, A. Dalal, E. J. Páez, and B. C. Sanders, Symmetric Rydberg controlled-z gates with adiabatic pulses, Phys. Rev. A 101, 062309 (2020).
  77. T. Wang, Z. Zhang, L. Xiang, Z. Jia, P. Duan, Z. Zong, Z. Sun, Z. Dong, J. Wu, Y. Yin, and G. Guo, Experimental realization of a fast controlled-Z gate via a shortcut to adiabaticity, Phys. Rev. Appl. 11, 034030 (2019).
  78. I. A. Simakov, G. S. Mazhorin, I. N. Moskalenko, N. N. Abramov, A. A. Grigorev, D. O. Moskalev, A. A. Pishchimova, N. S. Smirnov, E. V. Zikiy, I. A. Rodionov, and I. S. Besedin, Coupler microwave-activated controlled phase gate on fluxonium qubits, PRX Quantum 4, 040321 (2023).
  79. M. A. Rol, F. Battistel, F. K. Malinowski, C. C. Bultink, B. M. Tarasinski, R. Vollmer, N. Haider, N. Muthusubramanian, A. Bruno, B. M. Terhal, and L. DiCarlo, Fast, high-fidelity conditional-phase gate exploiting leakage interference in weakly anharmonic superconducting qubits, Phys. Rev. Lett. 123, 120502 (2019).
  80. S. Li, A. D. Castellano, S. Wang, Y. Wu, M. Gong, Z. Yan, H. Rong, H. Deng, C. Zha, C. Guo, L. Sun, C. Peng, X. Zhu, and J.-W. Pan, Realisation of high-fidelity nonadiabatic CZ gates with superconducting qubits, npj Quantum Inf. 5, 84 (2019).
  81. B. Foxen, C. Neill, A. Dunsworth, P. Roushan, B. Chiaro, A. Megrant, J. Kelly, Z. Chen, K. Satzinger, R. Barends, F. Arute, K. Arya, R. Babbush, D. Bacon, J. C. Bardin, S. Boixo, D. Buell, B. Burkett, Y. Chen, R. Collins et al. (Google AI Quantum), Demonstrating a continuous set of two-qubit gates for near-term quantum algorithms, Phys. Rev. Lett. 125, 120504 (2020).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation