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Engineering precise and robust effective Hamiltonians

Jiahui Chen1,2,* and David Cory1,3

  • *Contact author: j562chen@uwaterloo.ca

Phys. Rev. A 113, 042409 – Published 2 April, 2026

DOI: https://doi.org/10.1103/j65l-f8lf

Abstract

Engineering effective Hamiltonians is essential for advancing quantum technologies, including quantum simulation, sensing, and computing. This paper presents a general framework for effective Hamiltonian engineering, enabling robust, precise, and efficient quantum control strategies. To achieve efficiency, we focus on creating target zeroth-order effective Hamiltonians while minimizing higher-order contributions and enhancing robustness against systematic errors. The control design identifies the minimal subspace of the toggling-frame Hamiltonian and the full set of achievable, zeroth-order, effective Hamiltonians. The framework also enables robust state transfer and characterization of achievable density matrices, and extends to stochastic fluctuations via a cumulant expansion. Examples are included to illustrate the process flow and resultant precision and robustness.

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References (230)

  1. M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information (Cambridge University Press, Cambridge, 2010).
  2. D. P. DiVincenzo, The physical implementation of quantum computation, Fortschr. Phys. 48, 771 (2000).
  3. J. Preskill, Reliable quantum computers, Proc. R. Soc. London, Ser. A 454, 385 (1998).
  4. S. J. Glaser, U. Boscain, T. Calarco, C. P. Koch, W. Köckenberger, R. Kosloff, I. Kuprov, B. Luy, S. Schirmer, T. Schulte-Herbrüggen, et al., Training Schrödinger's cat: Quantum optimal control: Strategic report on current status, visions and goals for research in Europe, Eur. Phys. J. D 69, 279 (2015).
  5. J. M. Chow, J. M. Gambetta, A. D. Corcoles, S. T. Merkel, J. A. Smolin, C. Rigetti, S. Poletto, G. A. Keefe, M. B. Rothwell, J. R. Rozen, et al., Universal quantum gate set approaching fault-tolerant thresholds with superconducting qubits, Phys. Rev. Lett. 109, 060501 (2012).
  6. M. A. Pravia, N. Boulant, J. Emerson, A. Farid, E. M. Fortunato, T. F. Havel, R. Martinez, and D. G. Cory, Robust control of quantum information, J. Chem. Phys. 119, 9993 (2003).
  7. P. Cappellaro, J. Hodges, T. Havel, and D. Cory, Principles of control for decoherence-free subsystems, J. Chem. Phys. 125, 044514 (2006).
  8. C. P. Koch, Controlling open quantum systems: Tools, achievements, and limitations, J. Phys.: Condens. Matter 28, 213001 (2016).
  9. M. H. Goerz, D. M. Reich, and C. P. Koch, Optimal control theory for a unitary operation under dissipative evolution, New J. Phys. 16, 055012 (2014).
  10. J. D. Teske, P. Cerfontaine, and H. Bluhm, QOPT: An experiment-oriented software package for qubit simulation and quantum optimal control, Phys. Rev. Appl. 17, 034036 (2022).
  11. C. A. Weidner, E. A. Reed, J. Monroe, B. Sheller, S. O'Neil, E. Maas, E. A. Jonckheere, F. C. Langbein, and S. Schirmer, Robust quantum control in closed and open systems: Theory and practice, Automatica 172, 111987 (2025).
  12. A. C. Doherty, S. Habib, K. Jacobs, H. Mabuchi, and S. M. Tan, Quantum feedback control and classical control theory, Phys. Rev. A 62, 012105 (2000).
  13. D. Dong and I. R. Petersen, Quantum control theory and applications: A survey, IET Control Theory Appl. 4, 2651 (2010).
  14. Q. Ansel, E. Dionis, F. Arrouas, B. Peaudecerf, S. Guérin, D. Guéry-Odelin, and D. Sugny, Introduction to theoretical and experimental aspects of quantum optimal control, J. Phys. B: At., Mol. Opt. Phys. 57, 133001 (2024).
  15. J. W. Britton, B. C. Sawyer, A. C. Keith, C.-C. J. Wang, J. K. Freericks, H. Uys, M. J. Biercuk, and J. J. Bollinger, Engineered two-dimensional Ising interactions in a trapped-ion quantum simulator with hundreds of spins, Nature (London) 484, 489 (2012).
  16. P. W. Shor, Scheme for reducing decoherence in quantum computer memory, Phys. Rev. A 52, R2493 (1995).
  17. U. Haeberlen and J. S. Waugh, Coherent averaging effects in magnetic resonance, Phys. Rev. 175, 453 (1968).
  18. J. S. Waugh, L. M. Huber, and U. Haeberlen, Approach to high-resolution NMR in solids, Phys. Rev. Lett. 20, 180 (1968).
  19. P. Mansfield, Symmetrized pulse sequences in high resolution NMR in solids, J. Phys. C: Solid State Phys. 4, 1444 (1971).
  20. W.-K. Rhim, D. Elleman, and R. Vaughan, Analysis of multiple pulse NMR in solids, J. Chem. Phys. 59, 3740 (1973).
  21. D. Burum and W. Rhim, Analysis of multiple pulse NMR in solids. III, J. Chem. Phys. 71, 944 (1979).
  22. K. Takegoshi and C. McDowell, A “magic echo” pulse sequence for the high-resolution NMR spectra of abundant spins in solids, Chem. Phys. Lett. 116, 100 (1985).
  23. D. Cory, J. Miller, and A. Garroway, Time-suspension multiple-pulse sequences: Applications to solid-state imaging, J. Magn. Reson. 90, 205 (1990).
  24. D. Cory, A new multiple-pulse cycle for homonuclear dipolar decoupling, J. Magn. Reson. 94, 526 (1991).
  25. G. Boutis, P. Cappellaro, H. Cho, C. Ramanathan, and D. Cory, Pulse error compensating symmetric magic-echo trains, J. Magn. Reson. 161, 132 (2003).
  26. D. Raleigh, M. Levitt, and R. G. Griffin, Rotational resonance in solid state NMR, Chem. Phys. Lett. 146, 71 (1988).
  27. M. Levitt, D. Raleigh, F. Creuzet, and R. Griffin, Theory and simulations of homonuclear spin pair systems in rotating solids, J. Chem. Phys. 92, 6347 (1990).
  28. W. Rose, H. Haas, A. Q. Chen, N. Jeon, L. J. Lauhon, D. G. Cory, and R. Budakian, High-resolution nanoscale solid-state nuclear magnetic resonance spectroscopy, Phys. Rev. X 8, 011030 (2018).
  29. H. Haas, S. Tabatabaei, W. Rose, P. Sahafi, M. Piscitelli, A. Jordan, P. Priyadarsi, N. Singh, B. Yager, P. J. Poole, et al., Nuclear magnetic resonance diffraction with subangstrom precision, Proc. Natl. Acad. Sci. USA 119, e2209213119 (2022).
  30. M. F. O'Keeffe, L. Horesh, J. F. Barry, D. A. Braje, and I. L. Chuang, Hamiltonian engineering with constrained optimization for quantum sensing and control, New J. Phys. 21, 023015 (2019).
  31. F. Poggiali, P. Cappellaro, and N. Fabbri, Optimal control for one-qubit quantum sensing, Phys. Rev. X 8, 021059 (2018).
  32. C. H. Tseng, S. Somaroo, Y. Sharf, E. Knill, R. Laflamme, T. F. Havel, and D. G. Cory, Quantum simulation of a three-body-interaction Hamiltonian on an NMR quantum computer, Phys. Rev. A 61, 012302 (1999).
  33. A. D. Bookatz, P. Wocjan, and L. Viola, Hamiltonian quantum simulation with bounded-strength controls, New J. Phys. 16, 045021 (2014).
  34. P. Cappellaro, C. Ramanathan, and D. G. Cory, Simulations of information transport in spin chains, Phys. Rev. Lett. 99, 250506 (2007).
  35. K. X. Wei, C. Ramanathan, and P. Cappellaro, Exploring localization in nuclear spin chains, Phys. Rev. Lett. 120, 070501 (2018).
  36. M. Niknam, L. F. Santos, and D. G. Cory, Sensitivity of quantum information to environment perturbations measured with a nonlocal out-of-time-order correlation function, Phys. Rev. Res. 2, 013200 (2020).
  37. P. Peng, C. Yin, X. Huang, C. Ramanathan, and P. Cappellaro, Floquet prethermalization in dipolar spin chains, Nat. Phys. 17, 444 (2021).
  38. R. A. Jalabert and H. M. Pastawski, Environment-independent decoherence rate in classically chaotic systems, Phys. Rev. Lett. 86, 2490 (2001).
  39. A. M. Souza, G. A. Alvarez, and D. Suter, Robust dynamical decoupling for quantum computing and quantum memory, Phys. Rev. Lett. 106, 240501 (2011).
  40. A. Barenco, C. H. Bennett, R. Cleve, D. P. DiVincenzo, N. Margolus, P. Shor, T. Sleator, J. A. Smolin, and H. Weinfurter, Elementary gates for quantum computation, Phys. Rev. A 52, 3457 (1995).
  41. S. Bravyi and A. Kitaev, Universal quantum computation with ideal Clifford gates and noisy ancillas, Phys. Rev. A 71, 022316 (2005).
  42. N. Khaneja, T. Reiss, C. Kehlet, T. Schulte-Herbrüggen, and S. J. Glaser, Optimal control of coupled spin dynamics: Design of NMR pulse sequences by gradient ascent algorithms, J. Magn. Reson. 172, 296 (2005).
  43. C. Brif, R. Chakrabarti, and H. Rabitz, Control of quantum phenomena: Past, present and future, New J. Phys. 12, 075008 (2010).
  44. C. P. Koch, U. Boscain, T. Calarco, G. Dirr, S. Filipp, S. J. Glaser, R. Kosloff, S. Montangero, T. Schulte-Herbrüggen, D. Sugny, et al., Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe, EPJ Quantum Technol. 9, 19 (2022).
  45. H. Mabuchi and N. Khaneja, Principles and applications of control in quantum systems, Int. J. Robust Nonlinear 15, 647 (2005).
  46. E. M. Fortunato, M. A. Pravia, N. Boulant, G. Teklemariam, T. F. Havel, and D. G. Cory, Design of strongly modulating pulses to implement precise effective Hamiltonians for quantum information processing, J. Chem. Phys. 116, 7599 (2002).
  47. E. M. Fortunato, L. Viola, J. Hodges, G. Teklemariam, and D. G. Cory, Implementation of universal control on a decoherence-free qubit, New J. Phys. 4, 5 (2002).
  48. L. Viola, E. M. Fortunato, M. A. Pravia, E. Knill, R. Laflamme, and D. G. Cory, Experimental realization of noiseless subsystems for quantum information processing, Science 293, 2059 (2001).
  49. J. P. Palao, R. Kosloff, and C. P. Koch, Protecting coherence in optimal control theory: State-dependent constraint approach, Phys. Rev. A 77, 063412 (2008).
  50. U. Haeberlen, High Resolution NMR in Solids Selective Averaging: Supplement 1 Advances in Magnetic Resonance (Elsevier, Amsterdam, 2012), Vol. 1.
  51. C. M. Sánchez, A. K. Chattah, K. X. Wei, L. Buljubasich, P. Cappellaro, and H. M. Pastawski, Perturbation independent decay of the Loschmidt echo in a many-body system, Phys. Rev. Lett. 124, 030601 (2020).
  52. M. Hafezi, P. Adhikari, and J. M. Taylor, Engineering three-body interaction and Pfaffian states in circuit QED systems, Phys. Rev. B 90, 060503(R) (2014).
  53. F. Petiziol, M. Sameti, S. Carretta, S. Wimberger, and F. Mintert, Quantum simulation of three-body interactions in weakly driven quantum systems, Phys. Rev. Lett. 126, 250504 (2021).
  54. T. Oka and S. Kitamura, Floquet engineering of quantum materials, Annu. Rev. Condens. Matter Phys. 10, 387 (2019).
  55. B. Khromets, Z. D. Merino, and J. Baugh, Hamiltonian engineering, in Addressing Modern Challenges in the Mathematical, Statistical, and Computational Sciences: The VI AMMCS International Conference, Waterloo, Canada, August 14–18, 2023 (Springer Nature, Cham, Switzerland, 2025), p. 153.
  56. H. Haas, D. Puzzuoli, F. Zhang, and D. G. Cory, Engineering effective Hamiltonians, New J. Phys. 21, 103011 (2019).
  57. A. Ajoy, U. Bissbort, D. Poletti, and P. Cappellaro, Selective decoupling and Hamiltonian engineering in dipolar spin networks, Phys. Rev. Lett. 122, 013205 (2019).
  58. O. Kern and G. Alber, Selective recoupling and stochastic dynamical decoupling, Phys. Rev. A 73, 062302 (2006).
  59. J. Baum, M. Munowitz, A. N. Garroway, and A. Pines, Multiple-quantum dynamics in solid state NMR, J. Chem. Phys. 83, 2015 (1985).
  60. M. Munowitz, A. Pines, and M. Mehring, Multiple-quantum dynamics in NMR: A directed walk through Liouville space, J. Chem. Phys. 86, 3172 (1987).
  61. K. R. Brown, A. W. Harrow, and I. L. Chuang, Arbitrarily accurate composite pulse sequences, Phys. Rev. A 70, 052318 (2004).
  62. S. Wimperis, Broadband, narrowband, and passband composite pulses for use in advanced NMR experiments, J. Magn. Reson., Ser. A 109, 221 (1994).
  63. M. H. Levitt and R. Freeman, Composite pulse decoupling, J. Magn. Reson. 43, 502 (1981).
  64. A. J. Shaka, J. Keeler, and R. Freeman, Evaluation of a new broadband decoupling sequence: Waltz-16, J. Magn. Reson. 53, 313 (1983).
  65. L. A. O'Dell, The WURST kind of pulses in solid-state NMR, Solid State Nucl. Magn. Reson. 55-56, 28 (2013).
  66. M. Levitt, D. Suter, and R. Ernst, Composite pulse excitation in three-level systems, J. Chem. Phys. 80, 3064 (1984).
  67. R. Freeman, S. P. Kempsell, and M. H. Levitt, Radiofrequency pulse sequences which compensate their own imperfections, J. Magn. Reson. 38, 453 (1980).
  68. M. H. Levitt, Composite pulses, Prog. Nucl. Magn. Reson. Spectrosc. 18, 61 (1986).
  69. M. H. Levitt and R. Freeman, NMR population inversion using a composite pulse, J. Magn. Reson. 33, 473 (1979).
  70. G. H. Low, T. J. Yoder, and I. L. Chuang, Optimal arbitrarily accurate composite pulse sequences, Phys. Rev. A 89, 022341 (2014).
  71. M. H. Levitt and R. Ernst, Composite pulses constructed by a recursive expansion procedure, J. Magn. Reson. 55, 247 (1983).
  72. C. A. Ryan, J. S. Hodges, and D. G. Cory, Robust decoupling techniques to extend quantum coherence in diamond, Phys. Rev. Lett. 105, 200402 (2010).
  73. B. Fung, A. Khitrin, and K. Ermolaev, An improved broadband decoupling sequence for liquid crystals and solids, J. Magn. Reson. 142, 97 (2000).
  74. J. Waugh, Systematic procedure for constructing broadband decoupling sequences, J. Magn. Reson. 49, 517 (1982).
  75. A. Shaka, J. Keeler, T. Frenkiel, and R. Freeman, An improved sequence for broadband decoupling: Waltz-16, J. Magn. Reson. 52, 335 (1983).
  76. G. Gordon, G. Kurizki, and D. A. Lidar, Optimal dynamical decoherence control of a qubit, Phys. Rev. Lett. 101, 010403 (2008).
  77. D. Hayes, S. T. Flammia, and M. J. Biercuk, Programmable quantum simulation by dynamic Hamiltonian engineering, New J. Phys. 16, 083027 (2014).
  78. A. Shaka, C. Lee, and A. Pines, Iterative schemes for bilinear operators; application to spin decoupling, J. Magn. Reson. 77, 274 (1988).
  79. M. M. Maricq, Application of average Hamiltonian theory to the NMR of solids, Phys. Rev. B 25, 6622 (1982).
  80. Z. Tošner, T. Vosegaard, C. Kehlet, N. Khaneja, S. J. Glaser, and N. C. Nielsen, Optimal control in NMR spectroscopy: Numerical implementation in SIMPSON, J. Magn. Reson. 197, 120 (2009).
  81. L. Viola, E. Knill, and S. Lloyd, Dynamical decoupling of open quantum systems, Phys. Rev. Lett. 82, 2417 (1999).
  82. W. Zhang, N. P. Konstantinidis, V. V. Dobrovitski, B. N. Harmon, L. F. Santos, and L. Viola, Long-time electron spin storage via dynamical suppression of hyperfine-induced decoherence in a quantum dot, Phys. Rev. B 77, 125336 (2008).
  83. M. Mehring, Principles of High Resolution NMR in Solids (Springer Science & Business Media, New York, 2012).
  84. W. Evans and J. Powles, A time-dependent Dyson expansion-the nuclear resonance signal in a rotating single crystal, Proc. Phys. Soc. London 92, 1046 (1967).
  85. E. Knill and R. Laflamme, Theory of quantum error-correcting codes, Phys. Rev. A 55, 900 (1997).
  86. E. Knill, R. Laflamme, and L. Viola, Theory of quantum error correction for general noise, Phys. Rev. Lett. 84, 2525 (2000).
  87. J. T. Merrill and K. R. Brown, Progress in compensating pulse sequences for quantum computation, in Quantum Information and Computation for Chemistry, edited by S. Kais, Advances in Chemical Physics, Vol. 154 (Wiley, Hoboken, NJ, 2014), pp. 241–294.
  88. D. Kribs, R. Laflamme, and D. Poulin, Unified and generalized approach to quantum error correction, Phys. Rev. Lett. 94, 180501 (2005).
  89. D. D'Alessandro, Lie algebraic analysis and control of quantum dynamics, arXiv:0803.1193.
  90. Z. Jiang and E. G. Rieffel, Non-commuting two-local Hamiltonians for quantum error suppression, Quantum Inf. Process. 16, 89 (2017).
  91. M. Larocca and D. Wisniacki, Krylov-subspace approach for the efficient control of quantum many-body dynamics, Phys. Rev. A 103, 023107 (2021).
  92. J. Chen, H. Zhou, C. Duan, and X. Peng, Preparing Greenberger-Horne-Zeilinger and W states on a long-range Ising spin model by global controls, Phys. Rev. A 95, 032340 (2017).
  93. J. Chen, Y. Zhou, J. Bian, J. Li, and X. Peng, Subspace controllability of symmetric spin networks, Phys. Rev. A 102, 032602 (2020).
  94. R. Liu, Y. Hou, Z. Wu, H. Zhou, J. Chen, Z. Li, and X. Peng, Optimal and robust quantum state tomography of star-topology register, Quantum Sci. Technol. 9, 045024 (2024).
  95. K. Heya, K. M. Nakanishi, K. Mitarai, Z. Yan, K. Zuo, Y. Suzuki, T. Sugiyama, S. Tamate, Y. Tabuchi, K. Fujii, et al., Subspace variational quantum simulator, Phys. Rev. Res. 5, 023078 (2023).
  96. H. S. Abdel-Khalik, P. J. Turinsky, and M. A. Jessee, Efficient subspace methods-based algorithms for performing sensitivity, uncertainty, and adaptive simulation of large-scale computational models, Nucl. Sci. Eng. (La Grange Park, IL, U. S.) 159, 256 (2008).
  97. F. Albertini and D. D'Alessandro, Notions of controllability for bilinear multilevel quantum systems, IEEE Trans. Autom. Control 48, 1399 (2003).
  98. F. Albertini and D. D'Alessandro, The Lie algebra structure and controllability of spin systems, Lin. Alg. Appl. 350, 213 (2002).
  99. F. Albertini and D. D'Alessandro, Notions of controllability for quantum mechanical systems, in Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No. 01CH37228), Vol. 2 (IEEE, New York 2001), pp. 1589–1594.
  100. C. Altafini, Controllability of quantum mechanical systems by root space decomposition of SU(n), J. Math. Phys. 43, 2051 (2002).
  101. C. Altafini, Controllability properties for finite dimensional quantum Markovian master equations, J. Math. Phys. 44, 2357 (2003).
  102. Z. Zimborás, R. Zeier, T. Schulte-Herbrüggen, and D. Burgarth, Symmetry criteria for quantum simulability of effective interactions, Phys. Rev. A 92, 042309 (2015).
  103. I. N. Hincks, D. G. Cory, and C. Ramanathan, Equivalent Hamiltonians for state to state transfer in the case of partial quantum control, arXiv:1111.0944.
  104. J. S. Hodges, J. C. Yang, C. Ramanathan, and D. G. Cory, Universal control of nuclear spins via anisotropic hyperfine interactions, Phys. Rev. A 78, 010303(R) (2008).
  105. T. W. Borneman, C. E. Granade, and D. G. Cory, Parallel information transfer in a multinode quantum information processor, Phys. Rev. Lett. 108, 140502 (2012).
  106. R. Zeier and T. Schulte-Herbrüggen, Symmetry principles in quantum systems theory, J. Math. Phys. 52, 113510 (2011).
  107. J. Choi, H. Zhou, H. S. Knowles, R. Landig, S. Choi, and M. D. Lukin, Robust dynamic Hamiltonian engineering of many-body spin systems, Phys. Rev. X 10, 031002 (2020).
  108. H. Zhou, L. S. Martin, M. Tyler, O. Makarova, N. Leitao, H. Park, and M. D. Lukin, Robust higher-order Hamiltonian engineering for quantum sensing with strongly interacting systems, Phys. Rev. Lett. 131, 220803 (2023).
  109. M. Tyler, H. Zhou, L. S. Martin, N. Leitao, and M. D. Lukin, Higher-order methods for Hamiltonian engineering pulse sequence design, Phys. Rev. A 108, 062602 (2023).
  110. P. Baßler, M. Heinrich, and M. Kliesch, General, efficient, and robust Hamiltonian engineering, PRX Quantum 6, 040346 (2025).
  111. P. Peng, X. Huang, C. Yin, L. Joseph, C. Ramanathan, and P. Cappellaro, Deep reinforcement learning for quantum Hamiltonian engineering, Phys. Rev. Appl. 18, 024033 (2022).
  112. Y. Baum, M. Amico, S. Howell, M. Hush, M. Liuzzi, P. Mundada, T. Merkh, A. R. Carvalho, and M. J. Biercuk, Experimental deep reinforcement learning for error-robust gate-set design on a superconducting quantum computer, PRX Quantum 2, 040324 (2021).
  113. G. H. Golub and C. F. Van Loan, Matrix Computations (Johns Hopkins University Press, Baltimore, 2013).
  114. D. Puzzuoli, S. F. Lin, M. Malekakhlagh, E. Pritchett, B. Rosand, and C. J. Wood, Algorithms for perturbative analysis and simulation of quantum dynamics, J. Comput. Phys. 489, 112262 (2023).
  115. P. M. Poggi, G. De Chiara, S. Campbell, and A. Kiely, Universally robust quantum control, Phys. Rev. Lett. 132, 193801 (2024).
  116. C. J. Buchanan, G. Bhole, G. Karunanithy, V. Casablancas-Antràs, A. W. Poh, B. G. Davis, J. A. Jones, and A. J. Baldwin, Seedless: On-the-fly pulse calculation for NMR experiments, Nat. Commun. 16, 7276 (2025).
  117. L. Guo and V. Peano, Engineering arbitrary Hamiltonians in phase space, Phys. Rev. Lett. 132, 023602 (2024).
  118. Y. Xu and L. Guo, Perturbative framework for engineering arbitrary Floquet Hamiltonian, Rep. Prog. Phys. 88, 037602 (2025).
  119. D. d'Alessandro, Introduction to Quantum Control and Dynamics (Chapman and Hall, CRC Press, Boca Raton, FL, 2021).
  120. S. Cong, Control of Quantum Systems: Theory and Methods (John Wiley & Sons, Hoboken, NJ, 2014).
  121. E. Magesan, D. Puzzuoli, C. E. Granade, and D. G. Cory, Modeling quantum noise for efficient testing of fault-tolerant circuits, Phys. Rev. A 87, 012324 (2013).
  122. F. Mezzadri, How to generate random matrices from the classical compact groups, Not. Am. Math. Soc. 54, 592 (2007).
  123. A. Agrachev and R. Gamkrelidze, The shuffle product and symmetric groups, in Differential Equations, Dynamical Systems, and Control Science: A Festschrift in Honor of Lawrence Markus, Lecture Notes in Pure and Applied Mathematics, Vol. 152 (Routledge, London, 2017), pp. 365–382.
  124. A. Arnal, F. Casas, and C. Chiralt, A general formula for the magnus expansion in terms of iterated integrals of right-nested commutators, J. Phys. Commun. 2, 035024 (2018).
  125. R. Kubo, Generalized cumulant expansion method, J. Phys. Soc. Jpn. 17, 1100 (1962).
  126. R. Kubo, Stochastic Liouville equations, J. Math. Phys. 4, 174 (1963).
  127. B. C. Gerstein and C. R. Dybowski, Transient Techniques in NMR of Solids: An Introduction to Theory and Practice (Academic Press, Orlando, FL, 1985).
  128. U. Haeberlen and J. Waugh, Spin-lattice relaxation in periodically perturbed systems, Phys. Rev. 185, 420 (1969).
  129. W.-K. Rhim, D. Burum, and D. Elleman, Multiple-pulse spin locking in dipolar solids, Phys. Rev. Lett. 37, 1764 (1976).
  130. F. Yan, S. Gustavsson, J. Bylander, X. Jin, F. Yoshihara, D. G. Cory, Y. Nakamura, T. P. Orlando, and W. D. Oliver, Rotating-frame relaxation as a noise spectrum analyser of a superconducting qubit undergoing driven evolution, Nat. Commun. 4, 2337 (2013).
  131. Y. S. Weinstein, T. F. Havel, J. Emerson, N. Boulant, M. Saraceno, S. Lloyd, and D. G. Cory, Quantum process tomography of the quantum Fourier transform, J. Chem. Phys. 121, 6117 (2004).
  132. C. Tsallis and D. A. Stariolo, Generalized simulated annealing, Physica A (Amsterdam, Neth.) 233, 395 (1996).
  133. C. P. Slichter, Principles of Magnetic Resonance (Springer Science & Business Media, New York, 2013), Vol. 1.
  134. T. Schanze, An exact D-dimensional Tsallis random number generator for generalized simulated annealing, Comput. Phys. Commun. 175, 708 (2006).
  135. M. Mehring and J. S. Waugh, Phase transients in pulsed NMR spectrometers, Rev. Sci. Instrum. 43, 649 (1972).
  136. T. M. Barbara, J. F. Martin, and J. G. Wurl, Phase transients in NMR probe circuits, J. Magn. Reson. 93, 497 (1991).
  137. I. N. Hincks, C. E. Granade, T. W. Borneman, and D. G. Cory, Controlling quantum devices with nonlinear hardware, Phys. Rev. Appl. 4, 024012 (2015).
  138. I. N. Hincks, C. E. Granade, T. W. Borneman, and D. G. Cory, Generating a control sequence for quantum control, U.S. Patent No. 10,587,277 (issued March 10, 2020).
  139. S. A. Maas, Nonlinear Microwave and RF Circuits (Artech House, Norwood, MA, 2003).
  140. H. Mohebbi, O. Benningshof, I. Taminiau, G. Miao, and D. Cory, Composite arrays of superconducting microstrip line resonators, J. Appl. Phys. 115, 094502 (2014).
  141. T. Dahm and D. Scalapino, Theory of intermodulation in a superconducting microstrip resonator, J. Appl. Phys. 81, 2002 (1997).
  142. G. E. Uhlenbeck and L. S. Ornstein, On the theory of the Brownian motion, Phys. Rev. 36, 823 (1930).
  143. S. Somaroo, C. H. Tseng, T. F. Havel, R. Laflamme, and D. G. Cory, Quantum simulations on a quantum computer, Phys. Rev. Lett. 82, 5381 (1999).
  144. T. W. Borneman, M. D. Hürlimann, and D. G. Cory, Application of optimal control to CPMG refocusing pulse design, J. Magn. Reson. 207, 220 (2010).
  145. T. Caneva, T. Calarco, and S. Montangero, Chopped random-basis quantum optimization, Phys. Rev. A 84, 022326 (2011).
  146. M. M. Müller, R. S. Said, F. Jelezko, T. Calarco, and S. Montangero, One decade of quantum optimal control in the chopped random basis, Rep. Prog. Phys. 85, 076001 (2022).
  147. P. Cappellaro, J. Emerson, N. Boulant, C. Ramanathan, S. Lloyd, and D. G. Cory, Entanglement assisted metrology, Phys. Rev. Lett. 94, 020502 (2005).
  148. To minimize the cross term between Hpert1 and Hpert2, consider N=2, the total Hamiltonian is Htot(t)=Hpri(t)+(ω1−ω0)σz⊗σz⊗1+(ω2−ω0)σz⊗1⊗σz+Hpert2. (L5)Since both Hpri(t) and Hpert2 are symmetric with respect to a permutation of the two qubits in the spin amplifier, we only need to consider (ω1−ω0)σz⊗σz⊗1 for leading-order robustness.
  149. F. J. Dyson, The radiation theories of Tomonaga, Schwinger, and Feynman, Phys. Rev. 75, 486 (1949).
  150. C. Cohen-Tannoudji, B. Diu, and F. Laloë, Quantum Mechanics (Wiley, New York, 1977), Vol. 2.
  151. J. J. Sakurai and J. Napolitano, Modern Quantum Mechanics, 3rd ed. (Cambridge University Press, Cambridge, 2020).
  152. F. J. Dyson, The S matrix in quantum electrodynamics, Phys. Rev. 75, 1736 (1949).
  153. J. Schwinger, On the Green's functions of quantized fields. II, Proc. Natl. Acad. Sci. USA 37, 455 (1951).
  154. R. P. Feynman, Mathematical formulation of the quantum theory of electromagnetic interaction, Phys. Rev. 80, 440 (1950).
  155. R. P. Feynman and A. R. Hibbs, Quantum Mechanics and Path Integrals (McGraw-Hill, New York, 1965).
  156. M. Chaichian and A. Demichev, Path Integrals in Physics: Volume I Stochastic Processes and Quantum Mechanics, 1st ed. (CRC Press, Boca Raton, FL, 2019).
  157. W. Magnus, On the exponential solution of differential equations for a linear operator, Commun. Pure Appl. Math. 7, 649 (1954).
  158. S. Blanes, F. Casas, J.-A. Oteo, and J. Ros, The Magnus expansion and some of its applications, Phys. Rep. 470, 151 (2009).
  159. M. Baake and U. Schlaegel, The Peano-Baker series, Proc. Steklov Inst. Math. 275, 155 (2011).
  160. J. D. Dollard and C. N. Friedman, Product Integration with Applications to Differential Equations (Addison-Wesley Reading, Reading, MA, 1979).
  161. E. Hairer, M. Hochbruck, A. Iserles, and C. Lubich, Geometric numerical integration, Oberwolfach Rep. 3, 805 (2006).
  162. Y.-C. Cheng and R. J. Silbey, Stochastic Liouville equation approach for the effect of noise in quantum computations, Phys. Rev. A 69, 052325 (2004).
  163. G. A. Paz-Silva, S.-W. Lee, T. J. Green, and L. Viola, Dynamical decoupling sequences for multi-qubit dephasing suppression and long-time quantum memory, New J. Phys. 18, 073020 (2016).
  164. J. Bylander, S. Gustavsson, F. Yan, F. Yoshihara, K. Harrabi, G. Fitch, D. G. Cory, Y. Nakamura, J.-S. Tsai, and W. D. Oliver, Noise spectroscopy through dynamical decoupling with a superconducting flux qubit, Nat. Phys. 7, 565 (2011).
  165. L. Viola and S. Lloyd, Dynamical suppression of decoherence in two-state quantum systems, Phys. Rev. A 58, 2733 (1998).
  166. L. Viola, S. Lloyd, and E. Knill, Universal control of decoupled quantum systems, Phys. Rev. Lett. 83, 4888 (1999).
  167. T. Green, H. Uys, and M. J. Biercuk, High-order noise filtering in nontrivial quantum logic gates, Phys. Rev. Lett. 109, 020501 (2012).
  168. T. J. Green, J. Sastrawan, H. Uys, and M. J. Biercuk, Arbitrary quantum control of qubits in the presence of universal noise, New J. Phys. 15, 095004 (2013).
  169. G. A. Paz-Silva and L. Viola, General transfer-function approach to noise filtering in open-loop quantum control, Phys. Rev. Lett. 113, 250501 (2014).
  170. J. Clausen, G. Bensky, and G. Kurizki, Bath-optimized minimal-energy protection of quantum operations from decoherence, Phys. Rev. Lett. 104, 040401 (2010).
  171. T. Hangleiter, P. Cerfontaine, and H. Bluhm, Filter-function formalism and software package to compute quantum processes of gate sequences for classical non-Markovian noise, Phys. Rev. Res. 3, 043047 (2021).
  172. H. Ball, M. J. Biercuk, A. R. Carvalho, J. Chen, M. Hush, L. A. De Castro, L. Li, P. J. Liebermann, H. J. Slatyer, C. Edmunds, et al., Software tools for quantum control: Improving quantum computer performance through noise and error suppression, Quantum Sci. Technol. 6, 044011 (2021).
  173. M. Sameti and M. J. Hartmann, Floquet engineering in superconducting circuits: From arbitrary spin-spin interactions to the Kitaev honeycomb model, Phys. Rev. A 99, 012333 (2019).
  174. E. Abrams, M. Kasprzak, G. Bhole, T.-S. Ho, and H. Rabitz, Efficient Hamiltonian encoding algorithms for extracting quantum control mechanism as interfering pathway amplitudes in the Dyson series, Quantum 9, 1626 (2025).
  175. A. Kalev and I. Hen, An integral-free representation of the Dyson series using divided differences, New J. Phys. 23, 103035 (2021).
  176. Y.-H. Chen, A. Kalev, and I. Hen, Quantum algorithm for time-dependent Hamiltonian simulation by permutation expansion, PRX Quantum 2, 030342 (2021).
  177. T. Gullion, D. B. Baker, and M. S. Conradi, New, compensated Carr-Purcell sequences, J. Magn. Reson. 89, 479 (1990).
  178. A. Maudsley, Modified Carr-Purcell-Meiboom-Gill sequence for NMR Fourier imaging applications, J. Magn. Reson. 69, 488 (1986).
  179. K. Khodjasteh and D. A. Lidar, Performance of deterministic dynamical decoupling schemes: Concatenated and periodic pulse sequences, Phys. Rev. A 75, 062310 (2007).
  180. H. K. Ng, D. A. Lidar, and J. Preskill, Combining dynamical decoupling with fault-tolerant quantum computation, Phys. Rev. A 84, 012305 (2011).
  181. W. Zhang, V. V. Dobrovitski, L. F. Santos, L. Viola, and B. N. Harmon, Dynamical control of electron spin coherence in a quantum dot: A theoretical study, Phys. Rev. B 75, 201302(R) (2007).
  182. A. M. Souza, G. A. Alvarez, and D. Suter, Effects of time-reversal symmetry in dynamical decoupling, Phys. Rev. A 85, 032306 (2012).
  183. K. Khodjasteh and D. A. Lidar, Fault-tolerant quantum dynamical decoupling, Phys. Rev. Lett. 95, 180501 (2005).
  184. A. G. Kofman and G. Kurizki, Universal dynamical control of quantum mechanical decay: Modulation of the coupling to the continuum, Phys. Rev. Lett. 87, 270405 (2001).
  185. J. M. Martinis, S. Nam, J. Aumentado, K. M. Lang, and C. Urbina, Decoherence of a superconducting qubit due to bias noise, Phys. Rev. B 67, 094510 (2003).
  186. G. S. Uhrig, Keeping a quantum bit alive by optimized π-pulse sequences, Phys. Rev. Lett. 98, 100504 (2007).
  187. G. S. Uhrig, Exact results on dynamical decoupling by π pulses in quantum information processes, New J. Phys. 10, 083024 (2008).
  188. Ł. Cywiński, R. M. Lutchyn, C. P. Nave, and S. Das Sarma, How to enhance dephasing time in superconducting qubits, Phys. Rev. B 77, 174509 (2008).
  189. M. Biercuk, A. Doherty, and H. Uys, Dynamical decoupling sequence construction as a filter-design problem, J. Phys. B: At. Mol. Opt. Phys. 44, 154002 (2011).
  190. G. A. Álvarez and D. Suter, Measuring the spectrum of colored noise by dynamical decoupling, Phys. Rev. Lett. 107, 230501 (2011).
  191. G. A. Paz-Silva, L. M. Norris, and L. Viola, Multiqubit spectroscopy of Gaussian quantum noise, Phys. Rev. A 95, 022121 (2017).
  192. H. Uys, M. J. Biercuk, and J. J. Bollinger, Optimized noise filtration through dynamical decoupling, Phys. Rev. Lett. 103, 040501 (2009).
  193. M. J. Biercuk, H. Uys, A. P. VanDevender, N. Shiga, W. M. Itano, and J. J. Bollinger, Optimized dynamical decoupling in a model quantum memory, Nature (London) 458, 996 (2009).
  194. A. Soare, H. Ball, D. Hayes, J. Sastrawan, M. Jarratt, J. McLoughlin, X. Zhen, T. Green, and M. Biercuk, Experimental noise filtering by quantum control, Nat. Phys. 10, 825 (2014).
  195. A. Ajoy, G. A. Álvarez, and D. Suter, Optimal pulse spacing for dynamical decoupling in the presence of a purely dephasing spin bath, Phys. Rev. A 83, 032303 (2011).
  196. G. A. Alvarez, A. Ajoy, X. Peng, and D. Suter, Performance comparison of dynamical decoupling sequences for a qubit in a rapidly fluctuating spin bath, Phys. Rev. A 82, 042306 (2010).
  197. Z. Zhou, R. Sitler, Y. Oda, K. Schultz, and G. Quiroz, Quantum crosstalk robust quantum control, Phys. Rev. Lett. 131, 210802 (2023).
  198. D. G. Cory, A. F. Fahmy, and T. F. Havel, Ensemble quantum computing by NMR spectroscopy, Proc. Natl. Acad. Sci. USA 94, 1634 (1997).
  199. T. W. Borneman and D. G. Cory, Bandwidth-limited control and ringdown suppression in high-Q resonators, J. Magn. Reson. 225, 120 (2012).
  200. G. Balasubramanian, I. Chan, R. Kolesov, M. Al-Hmoud, J. Tisler, C. Shin, C. Kim, A. Wojcik, P. R. Hemmer, A. Krueger, et al., Nanoscale imaging magnetometry with diamond spins under ambient conditions, Nature (London) 455, 648 (2008).
  201. P. Krantz, M. Kjaergaard, F. Yan, T. P. Orlando, S. Gustavsson, and W. D. Oliver, A quantum engineer's guide to superconducting qubits, Appl. Phys. Rev. 6, 021318 (2019).
  202. M. J. Biercuk, H. Uys, J. W. Britton, A. P. VanDevender, and J. J. Bollinger, Ultrasensitive detection of force and displacement using trapped ions, Nat. Nanotechnol. 5, 646 (2010).
  203. R. Blatt and C. F. Roos, Quantum simulations with trapped ions, Nat. Phys. 8, 277 (2012).
  204. H Häffner, C. F. Roos, and R. Blatt, Quantum computing with trapped ions, Phys. Rep. 469, 155 (2008).
  205. M. Saffman, T. G. Walker, and K. Mølmer, Quantum information with Rydberg atoms, Rev. Mod. Phys. 82, 2313 (2010).
  206. F. Motzoi, J. M. Gambetta, P. Rebentrost, and F. K. Wilhelm, Simple pulses for elimination of leakage in weakly nonlinear qubits, Phys. Rev. Lett. 103, 110501 (2009).
  207. J. M. Gambetta, F. Motzoi, S. T. Merkel, and F. K. Wilhelm, Analytic control methods for high-fidelity unitary operations in a weakly nonlinear oscillator, Phys. Rev. A 83, 012308 (2011).
  208. D. Loss and D. P. DiVincenzo, Quantum computation with quantum dots, Phys. Rev. A 57, 120 (1998).
  209. S. G. Philips, M. T. Madzik, S. V. Amitonov, S. L. de Snoo, M. Russ, N. Kalhor, C. Volk, W. I. Lawrie, D. Brousse, L. Tryputen, et al., Universal control of a six-qubit quantum processor in silicon, Nature (London) 609, 919 (2022).
  210. E. Knill, R. Laflamme, and G. J. Milburn, A scheme for efficient quantum computation with linear optics, Nature (London) 409, 46 (2001).
  211. A. A. Houck, H. E. Türeci, and J. Koch, On-chip quantum simulation with superconducting circuits, Nat. Phys. 8, 292 (2012).
  212. J. A. Nelder and R. Mead, A simplex method for function minimization, Comput. J. 7, 308 (1965).
  213. J. C. Lagarias, J. A. Reeds, M. H. Wright, and P. E. Wright, Convergence properties of the Nelder–Mead simplex method in low dimensions, SIAM J. Optimiz. 9, 112 (1998).
  214. W. W. Hager and H. Zhang, A new conjugate gradient method with guaranteed descent and an efficient line search, SIAM J. Optimiz. 16, 170 (2005).
  215. M. J. Powell, An efficient method for finding the minimum of a function of several variables without calculating derivatives, Comput. J. 7, 155 (1964).
  216. J. Kennedy and R. Eberhart, Particle swarm optimization, in Proceedings of ICNN'95-International Conference on Neural Networks (IEEE, New York, 1995), Vol. 4, pp. 1942–1948.
  217. R. L. Kosut, M. D. Grace, and C. Brif, Robust control of quantum gates via sequential convex programming, Phys. Rev. A 88, 052326 (2013).
  218. R. S. Sutton, A. G. Barto, et al., Reinforcement Learning: An Introduction (MIT Press, Cambridge, 1998), Vol. 1.
  219. R. Storn and K. Price, Differential evolution – A simple and efficient heuristic for global optimization over continuous spaces, J. Global Optim. 11, 341 (1997).
  220. P. Virtanen, R. Gommers, T. E. Oliphant, M. Haberland, T. Reddy, D. Cournapeau, E. Burovski, P. Peterson, W. Weckesser, J. Bright, et al., SciPy 1.0: Fundamental algorithms for scientific computing in Python, Nat. Methods 17, 261 (2020).
  221. C. R. Harris, K. J. Millman, S. J. Van Der Walt, R. Gommers, P. Virtanen, D. Cournapeau, E. Wieser, J. Taylor, S. Berg, N. J. Smith, et al., Array programming with NumPy, Nature (London) 585, 357 (2020).
  222. A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga, et al., PyTorch: An imperative style, high-performance deep learning library, in Advances in Neural Information Processing Systems 32, edited by H. Wallach, et al. (Curran Associates, Red Hook, NY, 2019), pp. 8024–8035.
  223. D. Cory, J. Miller, R. Turner, and A. Garroway, Multiple-pulse methods of 1H NMR imaging of solids: Second-averaging, Mol. Phys. 70, 331 (1990).
  224. K. Kraus, General state changes in quantum theory, Ann. Phys. (NY) 64, 311 (1971).
  225. L. M. Norris, G. A. Paz-Silva, and L. Viola, Qubit noise spectroscopy for non-Gaussian dephasing environments, Phys. Rev. Lett. 116, 150503 (2016).
  226. Y. Sung, F. Beaudoin, L. M. Norris, F. Yan, D. K. Kim, J. Y. Qiu, U. von Lüpke, J. L. Yoder, T. P. Orlando, S. Gustavsson, et al., Non-Gaussian noise spectroscopy with a superconducting qubit sensor, Nat. Commun. 10, 3715 (2019).
  227. https://github.com/Jiahui-Chen-quantum/Hamiltonian-engineering
  228. G. F. Lawler and V. Limic, Random Walk: A Modern Introduction (Cambridge University Press, Cambridge, 2010), Vol. 123.
  229. C. B. Barber, D. P. Dobkin, and H. Huhdanpaa, The Quickhull algorithm for convex hulls, ACM Trans. Math. Software 22, 469 (1996).
  230. E. Knill, I. Chuang, and R. Laflamme, Effective pure states for bulk quantum computation, Phys. Rev. A 57, 3348 (1998).

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