Real Randomized Benchmarking

A. K. Hashagen1, S. T. Flammia2,3, D. Gross4, and J. J. Wallman5

1Department of Mathematics, Technical University of Munich, Germany
2Centre for Engineered Quantum Systems, School of Physics, University of Sydney, Sydney, Australia
3Yale Quantum Institute, Yale University, New Haven, Connecticut 06520, USA
4Institute for Theoretical Physics, University of Cologne, Germany
5Institute for Quantum Computing and Department of Applied Mathematics, University of Waterloo, Canada

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Abstract

Randomized benchmarking provides a tool for obtaining precise quantitative estimates of the average error rate of a physical quantum channel. Here we define real randomized benchmarking, which enables a separate determination of the average error rate in the real and complex parts of the channel. This provides more fine-grained information about average error rates with approximately the same cost as the standard protocol. The protocol requires only averaging over the real Clifford group, a subgroup of the full complex Clifford group, and makes use of the fact that it forms an orthogonal 2-design. It therefore allows benchmarking of fault-tolerant gates for an encoding which does not contain the full Clifford group transversally. Furthermore, our results are especially useful when considering quantum computations on rebits (or real encodings of complex computations), in which case the real Clifford group now plays the role of the complex Clifford group when studying stabilizer circuits.

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[1] S. Asaad, C. Dickel, N. K. Langford, S. Poletto, A. Bruno, M. A. Rol, D. Deurloo, and L. DiCarlo. Independent, extensible control of same-frequency superconducting qubits by selective broadcasting. npj Quantum Inf., 2: 16029, Aug 2016. 10.1038/​npjqi.2016.29.
https:/​/​doi.org/​10.1038/​npjqi.2016.29

[2] M. Aschbacher. Finite group theory, volume 10. Cambridge University Press, 2000. 10.1017/​CBO9781139175319.
https:/​/​doi.org/​10.1017/​CBO9781139175319

[3] R. Barends, J. Kelly, A. Megrant, A. Veitia, D. Sank, E. Jeffrey, T. C. White, J. Mutus, A. G. Fowler, B. Campbell, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, C. Neill, P. O'Malley, P. Roushan, A. Vainsencher, J. Wenner, A. N. Korotkov, A. N. Cleland, and J. M. Martinis. Superconducting quantum circuits at the surface code threshold for fault tolerance. Nature, 508: 500–503, Apr 2014. 10.1038/​nature13171.
https:/​/​doi.org/​10.1038/​nature13171

[4] K. R. Brown, A. C. Wilson, Y. Colombe, C. Ospelkaus, A. M. Meier, E. Knill, D. Leibfried, and D. J. Wineland. Single-qubit-gate error below ${\mathbf{10}}^{{-}\mathbf{4}}$ in a trapped ion. Phys. Rev. A, 84: 030303, Sep 2011. 10.1103/​PhysRevA.84.030303.
https:/​/​doi.org/​10.1103/​PhysRevA.84.030303

[5] W. G. Brown and B. Eastin. Randomized benchmarking with restricted gate sets. Phys. Rev. A, 97: 062323, 2018. 10.1103/​PhysRevA.97.062323.
https:/​/​doi.org/​10.1103/​PhysRevA.97.062323

[6] A. R. Calderbank, P. J. Cameron, W. M. Kantor, and J. J. Seidel. Z4-Kerdock codes, orthogonal spreads, and extremal Euclidean line-sets. In Proceedings of the London Mathematical Society, volume 75, pages 436–480. Cambridge University Press, 1997a. 10.1112/​S0024611597000403.
https:/​/​doi.org/​10.1112/​S0024611597000403

[7] A. R. Calderbank, E. M. Rains, P. W. Shor, and N. J. A. Sloane. Quantum error correction and orthogonal geometry. Phys. Rev. Lett., 78: 405–408, Jan 1997b. 10.1103/​PhysRevLett.78.405.
https:/​/​doi.org/​10.1103/​PhysRevLett.78.405

[8] A. Carignan-Dugas, J. J. Wallman, and J. Emerson. Characterizing universal gate sets via dihedral benchmarking. Phys. Rev. A, 92: 060302, Dec 2015. 10.1103/​PhysRevA.92.060302.
https:/​/​doi.org/​10.1103/​PhysRevA.92.060302

[9] J. M. Chow, J. M. Gambetta, L. Tornberg, J. Koch, L. S. Bishop, A. A. Houck, B. R. Johnson, L. Frunzio, S. M. Girvin, and R. J. Schoelkopf. Randomized benchmarking and process tomography for gate errors in a solid-state qubit. Phys. Rev. Lett., 102: 090502, Mar 2009. 10.1103/​PhysRevLett.102.090502.
https:/​/​doi.org/​10.1103/​PhysRevLett.102.090502

[10] A. W. Cross, E. Magesan, L. S. Bishop, J. A. Smolin, and J. M. Gambetta. Scalable randomized benchmarking of non-Clifford gates. npj Quantum Inf., 2: 16012, Apr 2016. 10.1038/​npjqi.2016.12.
https:/​/​doi.org/​10.1038/​npjqi.2016.12

[11] C. Dankert, R. Cleve, J. Emerson, and E. Livine. Exact and approximate unitary 2-designs and their application to fidelity estimation. Phys. Rev. A, 80: 012304, Jul 2009. 10.1103/​PhysRevA.80.012304.
https:/​/​doi.org/​10.1103/​PhysRevA.80.012304

[12] P. De Groen and B. De Moor. The fit of a sum of exponentials to noisy data. J. Comput. Appl. Math., 20: 175–187, 1987. 10.1016/​0377-0427(87)90135-X.
https:/​/​doi.org/​10.1016/​0377-0427(87)90135-X

[13] J. Dehaene and B. De Moor. Clifford group, stabilizer states, and linear and quadratic operations over GF(2). Phys. Rev. A, 68: 042318, Oct 2003. 10.1103/​PhysRevA.68.042318.
https:/​/​doi.org/​10.1103/​PhysRevA.68.042318

[14] J. Emerson, R. Alicki, and K. Zyczkowski. Scalable noise estimation with random unitary operators. J. Opt. B, 7 (10): S347, 2005. 10.1088/​1464-4266/​7/​10/​021.
https:/​/​doi.org/​10.1088/​1464-4266/​7/​10/​021

[15] 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 (5846): 1893–1896, 2007. 10.1126/​science.1145699.
https:/​/​doi.org/​10.1126/​science.1145699

[16] J. M. Epstein, A. W. Cross, E. Magesan, and J. M. Gambetta. Investigating the limits of randomized benchmarking protocols. Phys. Rev. A, 89 (6): 062321, Jun 2014. 10.1103/​PhysRevA.89.062321.
https:/​/​doi.org/​10.1103/​PhysRevA.89.062321

[17] S. T. Flammia, D. Gross, Y. Liu, and J. Eisert. Quantum tomography via compressed sensing: error bounds, sample complexity and efficient estimators. New J. Phys., 14 (9): 095022, 2012. 10.1088/​1367-2630/​14/​9/​095022.
https:/​/​doi.org/​10.1088/​1367-2630/​14/​9/​095022

[18] M. A. Fogarty, M. Veldhorst, R. Harper, C. H. Yang, S. D. Bartlett, S. T. Flammia, and A. S. Dzurak. Nonexponential fidelity decay in randomized benchmarking with low-frequency noise. Phys. Rev. A, 92: 022326, Aug 2015. 10.1103/​PhysRevA.92.022326.
https:/​/​doi.org/​10.1103/​PhysRevA.92.022326

[19] J. P. Gaebler, A. M. Meier, T. R. Tan, R. Bowler, Y. Lin, D. Hanneke, J. D. Jost, J. P. Home, E. Knill, D. Leibfried, and D. J. Wineland. Randomized benchmarking of multiqubit gates. Phys. Rev. Lett., 108: 260503, Jun 2012. 10.1103/​PhysRevLett.108.260503.
https:/​/​doi.org/​10.1103/​PhysRevLett.108.260503

[20] J. M. Gambetta, A. D. Córcoles, S. T. Merkel, B. R. Johnson, J. A. Smolin, J. M. Chow, C. A. Ryan, C. Rigetti, S. Poletto, T. A. Ohki, M. B. Ketchen, and M. Steffen. Characterization of addressability by simultaneous randomized benchmarking. Phys. Rev. Lett., 109: 240504, Dec 2012. 10.1103/​PhysRevLett.109.240504.
https:/​/​doi.org/​10.1103/​PhysRevLett.109.240504

[21] D. Gottesman. The Heisenberg representation of quantum computers. In S. P. Corney, R. Delbourgo, and P. D. Jarvis, editors, Proceedings of the XXII International Colloquium on Group theoretical methods in physics, pages 32–43. Cambridge, MA, International Press, 1999.

[22] C. Granade. Learning multiexponential models with QInfer. http:/​/​www.cgranade.com/​blog/​2016/​10/​07/​rb-multiexponential.html, Oct 2016.
http:/​/​www.cgranade.com/​blog/​2016/​10/​07/​rb-multiexponential.html

[23] C. Granade, C. Ferrie, and D. G. Cory. Accelerated randomized benchmarking. New J. Phys., 17 (1): 013042, Jan 2015. 10.1088/​1367-2630/​17/​1/​013042.
https:/​/​doi.org/​10.1088/​1367-2630/​17/​1/​013042

[24] C. Granade, C. Ferrie, I. Hincks, S. Casagrande, T. Alexander, J. Gross, M. Kononenko, and Y. Sanders. QInfer: Statistical inference software for quantum applications. Quantum, 1: 5, Apr 2017. ISSN 2521-327X. 10.22331/​q-2017-04-25-5.
https:/​/​doi.org/​10.22331/​q-2017-04-25-5

[25] D. Gross, K. Audenaert, and J. Eisert. Evenly distributed unitaries: On the structure of unitary designs. J. Math. Phys., 48 (5): 052104, 2007. 10.1063/​1.2716992.
https:/​/​doi.org/​10.1063/​1.2716992

[26] D. Gross, Y. Liu, S. T. Flammia, S. Becker, and J. Eisert. Quantum state tomography via compressed sensing. Phys. Rev. Lett., 105: 150401, Oct 2010. 10.1103/​PhysRevLett.105.150401.
https:/​/​doi.org/​10.1103/​PhysRevLett.105.150401

[27] 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. ArXiv e-prints: arXiv:1712.08628 [quant-ph], 2017.
arXiv:1712.08628

[28] R. Harper and S. Flammia. Fault tolerance in the IBM Q Experience. ArXiv e-prints: arXiv:1806.02359 [quant-ph], 2018.
arXiv:1806.02359

[29] T. Heinosaari and M. Ziman. The Mathematical Language of Quantum Theory: From Uncertainty to Entanglement. Cambridge University Press, 2012. 10.1017/​CBO9781139031103.
https:/​/​doi.org/​10.1017/​CBO9781139031103

[30] J. Helsen, J. J. Wallman, S. T. Flammia, and S. Wehner. Multi-qubit randomized benchmarking using few samples. ArXiv e-prints: arXiv:1701.04299 [quant-ph], Jan 2017.
arXiv:1701.04299

[31] J. Helsen, J. J. Wallman, and S. Wehner. Representations of the multi-qubit Clifford group. J. Math. Phys., 59, 2018. 10.1063/​1.4997688.
https:/​/​doi.org/​10.1063/​1.4997688

[32] E. Hostens, J. Dehaene, and B. De Moor. Stabilizer states and Clifford operations for systems of arbitrary dimensions and modular arithmetic. Phys. Rev. A, 71: 042315, Apr 2005. 10.1103/​PhysRevA.71.042315.
https:/​/​doi.org/​10.1103/​PhysRevA.71.042315

[33] A. Jamiołkowski. Linear transformations which preserve trace and positive semidefiniteness of operators. Rep. Math. Phys., 3: 275–278, Dec 1972. 10.1016/​0034-4877(72)90011-0.
https:/​/​doi.org/​10.1016/​0034-4877(72)90011-0

[34] 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, Jan 2008. 10.1103/​PhysRevA.77.012307.
https:/​/​doi.org/​10.1103/​PhysRevA.77.012307

[35] R. Koenig and J. A. Smolin. How to efficiently select an arbitrary Clifford group element. J. Math. Phys., 55 (12): 122202, 2014. 10.1063/​1.4903507.
https:/​/​doi.org/​10.1063/​1.4903507

[36] R. Kueng and D. Gross. Qubit stabilizer states are complex projective 3-designs. ArXiv e-prints: arXiv:1510.02767 [quant-ph], 2015.
arXiv:1510.02767

[37] B. Lévi, C. C. López, J. Emerson, and D. G. Cory. Efficient error characterization in quantum information processing. Phys. Rev. A, 75: 022314, Feb 2007. 10.1103/​PhysRevA.75.022314.
https:/​/​doi.org/​10.1103/​PhysRevA.75.022314

[38] E. Magesan, J. M. Gambetta, and J. Emerson. Robust randomized benchmarking of quantum processes. Phys. Rev. Lett., 106: 180504, 2011. 10.1103/​PhysRevLett.106.180504.
https:/​/​doi.org/​10.1103/​PhysRevLett.106.180504

[39] E. Magesan, J. M. Gambetta, and J. Emerson. Characterizing quantum gates via randomized benchmarking. Phys. Rev. A, 85: 042311, Apr 2012. 10.1103/​PhysRevA.85.042311.
https:/​/​doi.org/​10.1103/​PhysRevA.85.042311

[40] C. B. Mendl and M. M. Wolf. Unital quantum channels – convex structure and revivals of Birkhoff's theorem. Commun. Math. Phys., 289 (3): 1057–1086, 2009. 10.1007/​s00220-009-0824-2.
https:/​/​doi.org/​10.1007/​s00220-009-0824-2

[41] S. T. Merkel, E. J. Pritchett, and B. H. Fong. Randomized benchmarking as convolution: Fourier analysis of gate dependent errors. ArXiv e-prints: arXiv:1804.05951 [quant-ph], 2018.
arXiv:1804.05951

[42] J. T. Muhonen, A. Laucht, S. Simmons, J. P. Dehollain, R. Kalra, F. E. Hudson, S. Freer, K. M. Itoh, D. N. Jamieson, J. C. McCallum, A. S. Dzurak, and A. Morello. Quantifying the quantum gate fidelity of single-atom spin qubits in silicon by randomized benchmarking. J. Phys. Condens. Matter, 27 (15): 154205, 2015. 10.1088/​0953-8984/​27/​15/​154205.
https:/​/​doi.org/​10.1088/​0953-8984/​27/​15/​154205

[43] G. Nebe, E. M. Rains, and N. J. A. Sloane. The invariants of the Clifford group. Des. Codes Cryptogr., 24 (1): 99–122, Sep 2001. 10.1023/​A:1011233615437.
https:/​/​doi.org/​10.1023/​A:1011233615437

[44] G. Nebe, E. M. Rains, and N. J. A. Sloane. Self-Dual Codes and Invariant Theory. Algorithms and Computation in Mathematics. Springer Berlin Heidelberg, 2006. 10.1007/​3-540-30731-1.
https:/​/​doi.org/​10.1007/​3-540-30731-1

[45] S. Olmschenk, R. Chicireanu, K. D. Nelson, and J. V. Porto. Randomized benchmarking of atomic qubits in an optical lattice. New J. Phys., 12 (11): 113007, 2010. 10.1088/​1367-2630/​12/​11/​113007.
https:/​/​doi.org/​10.1088/​1367-2630/​12/​11/​113007

[46] T. Rudolph and L. Grover. A 2 rebit gate universal for quantum computing. ArXiv e-prints: arXiv:quant-ph/​0210187, Oct 2002.
arXiv:quant-ph/0210187

[47] C. A. Ryan, M. Laforest, and R. Laflamme. Randomized benchmarking of single- and multi-qubit control in liquid-state NMR quantum information processing. New J. Phys., 11 (1): 013034, 2009. 10.1088/​1367-2630/​11/​1/​013034.
https:/​/​doi.org/​10.1088/​1367-2630/​11/​1/​013034

[48] B. Simon. Representations of finite and compact groups, volume 10 of Graduate studies in mathematics. American Mathematical Society, 1996. 10.1090/​gsm/​010.
https:/​/​doi.org/​10.1090/​gsm/​010

[49] K. G. H. Vollbrecht and R. F. Werner. Entanglement measures under symmetry. Phys. Rev. A, 64: 062307, Nov 2001. 10.1103/​PhysRevA.64.062307.
https:/​/​doi.org/​10.1103/​PhysRevA.64.062307

[50] J. J. Wallman. Randomized benchmarking with gate-dependent noise. Quantum, 2: 47, Jan 2018a. 10.22331/​q-2018-01-29-47.
https:/​/​doi.org/​10.22331/​q-2018-01-29-47

[51] J. J. Wallman and S. T. Flammia. Randomized benchmarking with confidence. New J. Phys., 16 (10): 103032, 2014. 10.1088/​1367-2630/​16/​10/​103032.
https:/​/​doi.org/​10.1088/​1367-2630/​16/​10/​103032

[52] Joel Wallman. Randomized benchmarking with gate-dependent noise. Quantum, 2: 47, 2018b. 10.22331/​q-2018-01-29-47.
https:/​/​doi.org/​10.22331/​q-2018-01-29-47

[53] Z. Webb. The Clifford group forms a unitary 3-design. Quantum Inf. Comput., 16: 1379–1400, 2016. 10.26421/​QIC16.15-16.
https:/​/​doi.org/​10.26421/​QIC16.15-16

[54] T. Xia, M. Lichtman, K. Maller, A. W. Carr, M. J. Piotrowicz, L. Isenhower, and M. Saffman. Randomized benchmarking of single-qubit gates in a 2D array of neutral-atom qubits. Phys. Rev. Lett., 114: 100503, Mar 2015. 10.1103/​PhysRevLett.114.100503.
https:/​/​doi.org/​10.1103/​PhysRevLett.114.100503

[55] H. Zhu. Multiqubit Clifford groups are unitary 3-designs. Phys. Rev. A, 96 (6): 062336, 2017. 10.1103/​PhysRevA.96.062336.
https:/​/​doi.org/​10.1103/​PhysRevA.96.062336

[56] H. Zhu, R. Kueng, M. Grassl, and D. Gross. The Clifford group fails gracefully to be a unitary 4-design. ArXiv e-prints: arXiv:1609.08172 [quant-ph], Sep 2016.
arXiv:1609.08172

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[2] I. Roth, R. Kueng, S. Kimmel, Y.-K. Liu, D. Gross, J. Eisert, and M. Kliesch, "Recovering Quantum Gates from Few Average Gate Fidelities", Physical Review Letters 121 17, 170502 (2018).

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[45] Jonas Helsen, Joel J. Wallman, Steven T. Flammia, and Stephanie Wehner, "Multiqubit randomized benchmarking using few samples", Physical Review A 100 3, 032304 (2019).

[46] Anthony M. Polloreno, Arnaud Carignan-Dugas, Jordan Hines, Robin Blume-Kohout, Kevin Young, and Timothy Proctor, "A Theory of Direct Randomized Benchmarking", Quantum 9, 1848 (2025).

[47] Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, Tobias Haug, Sumner Alperin-Lea, Abhinav Anand, Matthias Degroote, Hermanni Heimonen, Jakob S. Kottmann, Tim Menke, Wai-Keong Mok, Sukin Sim, Leong-Chuan Kwek, and Alán Aspuru-Guzik, "Noisy intermediate-scale quantum algorithms", Reviews of Modern Physics 94 1, 015004 (2022).

[48] J. Miguel-Ramiro, A. Pirker, and W. Dür, "Coherent randomized benchmarking", Physical Review Research 3 3, 033038 (2021).

[49] Justin Makary, Neil J. Ross, and Peter Selinger, "Generators and Relations for Real Stabilizer Operators", Electronic Proceedings in Theoretical Computer Science 343, 14 (2021).

[50] X. Xue, T. F. Watson, J. Helsen, D. R. Ward, D. E. Savage, M. G. Lagally, S. N. Coppersmith, M. A. Eriksson, S. Wehner, and L. M. K. Vandersypen, "Benchmarking Gate Fidelities in a Si/SiGe Two-Qubit Device", Physical Review X 9 2, 021011 (2019).

[51] D. Scott Holmes, 2021 IEEE International Roadmap for Devices and Systems Outbriefs 1 (2021) ISBN:978-1-6654-8638-5.

[52] Lorenzo Leone, Salvatore F. E. Oliviero, and Alioscia Hamma, "Nonstabilizerness determining the hardness of direct fidelity estimation", Physical Review A 107 2, 022429 (2023).

[53] Winton G. Brown and Bryan Eastin, "Randomized benchmarking with restricted gate sets", Physical Review A 97 6, 062323 (2018).

[54] Steven T. Flammia and Joel J. Wallman, "Efficient estimation of Pauli channels", arXiv:1907.12976, (2019).

[55] Arnaud Carignan-Dugas, Dar Dahlen, Ian Hincks, Egor Ospadov, Stefanie J. Beale, Samuele Ferracin, Joshua Skanes-Norman, Joseph Emerson, and Joel J. Wallman, "The Error Reconstruction and Compiled Calibration of Quantum Computing Cycles", arXiv:2303.17714, (2023).

[56] Jonas Helsen, Joel J. Wallman, Steven T. Flammia, and Stephanie Wehner, "Multi-qubit Randomized Benchmarking Using Few Samples", arXiv:1701.04299, (2017).

[57] Saeed Mehraban and Mehrdad Tahmasbi, "Improved bounds for testing low stabilizer complexity states", arXiv:2410.24202, (2024).

[58] Martin Kliesch and Ingo Roth, "Theory of quantum system certification: a tutorial", arXiv:2010.05925, (2020).

[59] Justin Makary, Neil J. Ross, and Peter Selinger, "Generators and Relations for Real Stabilizer Operators", arXiv:2109.05655, (2021).

The above citations are from Crossref's cited-by service (last updated successfully 2026-08-17 14:50:45) and SAO/NASA ADS (last updated successfully 2026-08-17 14:50:47). The list may be incomplete as not all publishers provide suitable and complete citation data.