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

Optimizing two-qubit gates for ultracold atoms using Fermi-Hubbard models

Juhi Singh1,2,*, Jan A.P. Reuter1,2, Tommaso Calarco1,2,3, Felix Motzoi1,2, and Robert Zeier1,†

  • *Contact author: j.singh@fz-juelich.de
  • †Contact author: r.zeier@fz-juelich.de

Phys. Rev. Applied 24, 034007 – Published 3 September, 2025

DOI: https://doi.org/10.1103/xqzw-m27l

Abstract

Ultracold atoms trapped in optical lattices have emerged as a scalable and promising platform for quantum simulation and computation; however, gate speeds remain a significant limitation for practical applications. In this work, we employ quantum optimal control to design fast, collision-based two-qubit gates within a superlattice based on a Fermi-Hubbard description, reaching errors in the range 10−3 for realistic parameters. Numerically optimizing the lattice depths and the scattering length, we effectively manipulate hopping and interaction strengths intrinsic to the Fermi-Hubbard model. Our results provide five times shorter gate durations by allowing for higher energy bands in the optimization, suggesting that standard modeling with a two-band Fermi-Hubbard model is insufficient for describing the dynamics of fast gates, and we find that four to six bands are required. Additionally, we achieve nonadiabatic gates by employing time-dependent lattice depths rather than using only fixed depths. The optimized control pulses not only maintain high efficacy in the presence of laser-intensity and phase noise but also result in negligible interwell couplings.

View figure in article

Physics Subject Headings (PhySH)

Article Text

References (111)

  1. J. Clarke and F. K. Wilhelm, Superconducting quantum bits, Nature 453, 1031 (2008).
  2. M. H. Devoret and R. J. Schoelkopf, Superconducting circuits for quantum information: An outlook, Science 339, 1169 (2013).
  3. M. Gong, M.-C. Chen, Y. Zheng, S. Wang, C. Zha, H. Deng, Z. Yan, H. Rong, Y. Wu, S. Li, F. Chen, Y. Zhao, F. Liang, J. Lin, Y. Xu, C. Guo, L. Sun, A. D. Castellano, H. Wang, C. Peng, C.-Y. Lu, X. Zhu, and J.-W. Pan, Genuine 12-qubit entanglement on a superconducting quantum processor, Phys. Rev. Lett. 122, 110501 (2019).
  4. J. I. Cirac and P. Zoller, Quantum computations with cold trapped ions, Phys. Rev. Lett. 74, 4091 (1995).
  5. D. Leibfried, R. Blatt, C. Monroe, and D. Wineland, Quantum dynamics of single trapped ions, Rev. Mod. Phys. 75, 281 (2003).
  6. H. Häffner, C. Roos, and R. Blatt, Quantum computing with trapped ions, Phys. Rep. 469, 155 (2008).
  7. C. Monroe and J. Kim, Scaling the ion trap quantum processor, Science 339, 1164 (2013).
  8. I. Bloch, J. Dalibard, and W. Zwerger, Many-body physics with ultracold gases, Rev. Mod. Phys. 80, 885 (2008).
  9. M. Saffman, Quantum computing with atomic qubits and Rydberg interactions: progress and challenges, J. Phys. B 49, 202001 (2016).
  10. C. Gross and I. Bloch, Quantum simulations with ultracold atoms in optical lattices, Science 357, 995 (2017).
  11. E. Knill, R. Laflamme, and G. J. Milburn, A scheme for efficient quantum computation with linear optics, Nature 409, 46 (2001).
  12. R. Prevedel, P. Walther, F. Tiefenbacher, P. Böhi, R. Kaltenbaek, T. Jennewein, and A. Zeilinger, High-speed linear optics quantum computing using active feed-forward, Nature 445, 65 (2007).
  13. F. Flamini, N. Spagnolo, and F. Sciarrino, Photonic quantum information processing: A review, Rep. Prog. Phys. 82, 016001 (2018).
  14. P. Kok, W. J. Munro, K. Nemoto, T. C. Ralph, J. P. Dowling, and G. J. Milburn, Linear optical quantum computing with photonic qubits, Rev. Mod. Phys. 79, 135 (2007).
  15. M. V. G. Dutt, L. Childress, L. Jiang, E. Togan, J. Maze, F. Jelezko, A. S. Zibrov, P. R. Hemmer, and M. D. Lukin, Quantum register based on individual electronic and nuclear spin qubits in diamond, Science 316, 1312 (2007).
  16. J. R. Weber, W. F. Koehl, J. B. Varley, A. Janotti, B. B. Buckley, C. G. V. de Walle, and D. D. Awschalom, Quantum computing with defects, PNAS 107, 8513 (2010).
  17. A. Imamoglu, D. D. Awschalom, G. Burkard, D. P. DiVincenzo, D. Loss, M. Sherwin, and A. Small, Quantum information processing using quantum dot spins and cavity QED, Phys. Rev. Lett. 83, 4204 (1999).
  18. J. R. Petta, A. C. Johnson, J. M. Taylor, E. A. Laird, A. Yacoby, M. D. Lukin, C. M. Marcus, M. P. Hanson, and A. C. Gossard, Coherent manipulation of coupled electron spins in semiconductor quantum dots, Science 309, 2180 (2005).
  19. R. Hanson, L. P. Kouwenhoven, J. R. Petta, S. Tarucha, and L. M. K. Vandersypen, Spins in few-electron quantum dots, Rev. Mod. Phys. 79, 1217 (2007).
  20. D. Bluvstein, et al., Logical quantum processor based on reconfigurable atom arrays, Nature 626, 58 (2024).
  21. 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 622, 268 (2023).
  22. F. Gyger, M. Ammenwerth, R. Tao, H. Timme, S. Snigirev, I. Bloch, and J. Zeiher, Continuous operation of large-scale atom arrays in optical lattices, Phys. Rev. Res. 6, 033104 (2024).
  23. A. L. Shaw, Z. Chen, J. Choi, D. K. Mark, P. Scholl, R. Finkelstein, A. Elben, S. Choi, and M. Endres, Benchmarking highly entangled states on a 60-atom analogue quantum simulator, Nature 628, 71 (2024).
  24. S. Jandura and G. Pupillo, Time-optimal two- and three-qubit gates for Rydberg atoms, Quantum 6, 712 (2022).
  25. M. Mohan, R. de Keijzer, and S. Kokkelmans, Robust control and optimal Rydberg states for neutral atom two-qubit gates, Phys. Rev. Res. 5, 033052 (2023).
  26. Z. Fu, P. Xu, Y. Sun, Y.-Y. Liu, X.-D. He, X. Li, M. Liu, R.-B. Li, J. Wang, L. Liu, and M.-S. Zhan, High-fidelity entanglement of neutral atoms via a Rydberg-mediated single-modulated-pulse controlled-phase gate, Phys. Rev. A 105, 042430 (2022).
  27. 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).
  28. M. H. Goerz, T. Calarco, and C. P. Koch, The quantum speed limit of optimal controlled phasegates for trapped neutral atoms, J. Phys. B: At., Mol. Opt. Phys. 44, 154011 (2011).
  29. D. Tong, S. M. Farooqi, J. Stanojevic, S. Krishnan, Y. P. Zhang, R. Côté, E. E. Eyler, and P. L. Gould, Local blockade of Rydberg excitation in an ultracold gas, Phys. Rev. Lett. 93, 063001 (2004).
  30. T. Vogt, M. Viteau, A. Chotia, J. Zhao, D. Comparat, and P. Pillet, Electric-field induced dipole blockade with Rydberg atoms, Phys. Rev. Lett. 99, 073002 (2007).
  31. L. S. Theis, F. Motzoi, F. K. Wilhelm, and M. Saffman, High-fidelity Rydberg-blockade entangling gate using shaped, analytic pulses, Phys. Rev. A 94, 032306 (2016).
  32. M. M. Müller, M. Murphy, S. Montangero, T. Calarco, P. Grangier, and A. Browaeys, Implementation of an experimentally feasible controlled-phase gate on two blockaded Rydberg atoms, Phys. Rev. A 89, 032334 (2014).
  33. D. Jaksch, H.-J. Briegel, J. I. Cirac, C. W. Gardiner, and P. Zoller, Entanglement of atoms via cold controlled collisions, Phys. Rev. Lett. 82, 1975 (1999).
  34. G. K. Brennen, C. M. Caves, P. S. Jessen, and I. H. Deutsch, Quantum logic gates in optical lattices, Phys. Rev. Lett. 82, 1060 (1999).
  35. G. De Chiara, T. Calarco, M. Anderlini, S. Montangero, P. J. Lee, B. L. Brown, W. D. Phillips, and J. V. Porto, Optimal control of atom transport for quantum gates in optical lattices, Phys. Rev. A 77, 052333 (2008).
  36. S. Trotzky, P. Cheinet, S. Fölling, M. Feld, U. Schnorrberger, A. M. Rey, A. Polkovnikov, E. A. Demler, M. D. Lukin, and I. Bloch, Time-resolved observation and control of superexchange interactions with ultracold atoms in optical lattices, Science 319, 295 (2008).
  37. B. Yang, H. Sun, C.-J. Huang, H.-Y. Wang, Y. Deng, H.-N. Dai, Z.-S. Yuan, and J.-W. Pan, Cooling and entangling ultracold atoms in optical lattices, Science 369, 550 (2020).
  38. M. Anderlini, P. J. Lee, B. L. Brown, J. Sebby-Strabley, W. D. Phillips, and J. V. Porto, Controlled exchange interaction between pairs of neutral atoms in an optical lattice, Nature 448, 452 (2007).
  39. T. Calarco, U. Dorner, P. S. Julienne, C. J. Williams, and P. Zoller, Quantum computations with atoms in optical lattices: Marker qubits and molecular interactions, Phys. Rev. A 70, 012306 (2004).
  40. Z. Idziaszek and T. Calarco, Two atoms in an anisotropic harmonic trap, Phys. Rev. A 71, 050701 (2005).
  41. T. Calarco, E. A. Hinds, D. Jaksch, J. Schmiedmayer, J. I. Cirac, and P. Zoller, Quantum gates with neutral atoms: Controlling collisional interactions in time-dependent traps, Phys. Rev. A 61, 022304 (2000).
  42. Z. Zhu, Y. Kiefer, S. Jele, M. Gächter, G. Bisson, K. Viebahn, and T. Esslinger, Splitting and connecting singlets in atomic quantum circuits, ArXiv:2409.02984.
  43. M. Lubasch, V. Murg, U. Schneider, J. I. Cirac, and M.-C. Bañuls, Adiabatic preparation of a Heisenberg antiferromagnet using an optical superlattice, Phys. Rev. Lett. 107, 165301 (2011).
  44. T. Chalopin, P. Bojović, D. Bourgund, S. Wang, T. Franz, I. Bloch, and T. Hilker, Optical superlattice for engineering Hubbard couplings in quantum simulation, Phys. Rev. Lett. 134, 053402 (2025).
  45. A. Impertro, S. Karch, J. F. Wienand, S. Huh, C. Schweizer, I. Bloch, and M. Aidelsburger, Local readout and control of current and kinetic energy operators in optical lattices, Phys. Rev. Lett. 133, 063401 (2024).
  46. L. Tarruell and L. Sanchez-Palencia, Quantum simulation of the Hubbard model with ultracold fermions in optical lattices, C. R. Phys. 19, 365 (2018).
  47. M. R. Lam, N. Peter, T. Groh, W. Alt, C. Robens, D. Meschede, A. Negretti, S. Montangero, T. Calarco, and A. Alberti, Demonstration of quantum brachistochrones between distant states of an atom, Phys. Rev. X 11, 011035 (2021).
  48. A. Pagano, D. Jaschke, W. Weiss, and S. Montangero, Optimal control transport of neutral atoms in optical tweezers at finite temperature, Phys. Rev. Res. 6, 033282 (2024).
  49. C. Cicali, M. Calzavara, E. Cuestas, T. Calarco, R. Zeier, and F. Motzoi, Fast neutral-atom transport and transfer between optical tweezers, Phys. Rev. Appl. (in press).
  50. M. Anderlini, P. J. Lee, B. L. Brown, J. Sebby-Strabley, W. D. Phillips, and J. V. Porto, Controlled exchange interaction between pairs of neutral atoms in an optical lattice, Nature 448, 452 (2007).
  51. J. Nemirovsky and Y. Sagi, Fast universal two-qubit gate for neutral fermionic atoms in optical tweezers, Phys. Rev. Res. 3, 013113 (2021).
  52. D. Hayes, P. S. Julienne, and I. H. Deutsch, Quantum logic via the exchange blockade in ultracold collisions, Phys. Rev. Lett. 98, 070501 (2007).
  53. M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information (Cambridge University Press, Cambridge, 2010), 10th Anniversary ed.
  54. M. Hughes, A. U. J. Lode, D. Jaksch, and P. Molignini, Accuracy of quantum simulators with ultracold dipolar molecules: A quantitative comparison between continuum and lattice descriptions, Phys. Rev. A 107, 033323 (2023).
  55. Y. Bilinskaya, M. Hughes, and P. Molignini, Realizing multiband states with ultracold dipolar quantum simulators, Phys. Rev. Res. 6, L042024 (2024).
  56. C. P. Koch, U. Boscain, T. Calarco, G. Dirr, S. Filipp, S. J. Glaser, R. Kosloff, S. Montangero, T. Schulte-Herbrüggen, D. Sugny, and F. K. Wilhelm, Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe, EPJ Quantum Technol. 9, 19 (2022).
  57. S. J. Glaser, U. Boscain, T. Calarco, C. P. Koch, W. Köckenberger, R. Kosloff, I. Kuprov, B. Luy, S. Schirmer, T. Schulte-Herbrüggen, D. Sugny, and F. K. Wilhelm, Training Schrödinger’s cat: Quantum optimal control, Eur. Phys. J. D 69, 279 (2015).
  58. U. Hohenester, Optimal quantum gates for semiconductor qubits, Phys. Rev. B 74, 161307 (2006).
  59. B. Khani, J. M. Gambetta, F. Motzoi, and F. K. Wilhelm, Optimal generation of Fock states in a weakly nonlinear oscillator, Phys. Scr. 2009, 014021 (2009).
  60. A. Omran, H. Levine, A. Keesling, G. Semeghini, T. T. Wang, S. Ebadi, H. Bernien, A. S. Zibrov, H. Pichler, S. Choi, J. Cui, M. Rossignolo, P. Rembold, S. Montangero, T. Calarco, M. Endres, M. Greiner, V. Vuletić, and M. D. Lukin, Generation and manipulation of Schrödinger cat states in Rydberg atom arrays, Science 365, 570 (2019).
  61. N. Khaneja, R. Brockett, and S. J. Glaser, Time optimal control in spin systems, Phys. Rev. A 63, 032308 (2001).
  62. N. Khaneja, S. J. Glaser, and R. Brockett, Sub-Riemannian geometry and time optimal control of three spin systems: Quantum gates and coherence transfer, Phys. Rev. A 65, 032301 (2002).
  63. C. H. Bennett, J. I. Cirac, M. S. Leifer, D. W. Leung, N. Linden, S. Popescu, and G. Vidal, Optimal simulation of two-qubit Hamiltonians using general local operations, Phys. Rev. A 66, 012305 (2002).
  64. G. Vidal, K. Hammerer, and J. I. Cirac, Interaction cost of nonlocal gates, Phys. Rev. Lett. 88, 237902 (2002).
  65. R. Zeier, M. Grassl, and T. Beth, Gate simulation and lower bounds on the simulation time, Phys. Rev. A 70, 032319 (2004).
  66. A. Carlini, A. Hosoya, T. Koike, and Y. Okudaira, Time-optimal quantum evolution, Phys. Rev. Lett. 96, 060503 (2006).
  67. N. Khaneja, B. Heitmann, A. Spörl, H. Yuan, T. Schulte-Herbrüggen, and S. J. Glaser, Shortest paths for efficient control of indirectly coupled qubits, Phys. Rev. A 75, 012322 (2007).
  68. R. Zeier, H. Yuan, and N. Khaneja, Time-optimal synthesis of unitary transformations in a coupled fast and slow qubit system, Phys. Rev. A 77, 032332 (2008).
  69. H. Yuan and N. Khaneja, Efficient synthesis of quantum gates on a three-spin system with triangle topology, Phys. Rev. A 84, 062301 (2011).
  70. A. Carlini and T. Koike, Time-optimal transfer of coherence, Phys. Rev. A 86, 054302 (2012).
  71. N. Khaneja, Time optimal control of coupled spin dynamics: A global analysis, Automatica 111, 108639 (2020).
  72. U. Boscain, G. Charlot, J.-P. Gauthier, S. Guérin, and H.-R. Jauslin, Optimal control in laser-induced population transfer for two- and three-level quantum systems, J. Math. Phys. 43, 2107 (2002).
  73. H. Yuan, R. Zeier, and N. Khaneja, Elliptic functions and efficient control of Ising spin chains with unequal couplings, Phys. Rev. A 77, 032340 (2008).
  74. M. Nimbalkar, R. Zeier, J. L. Neves, S. B. Elavarasi, H. Yuan, N. Khaneja, K. Dorai, and S. J. Glaser, Multiple-spin coherence transfer in linear Ising spin chains and beyond: Numerically optimized pulses and experiments, Phys. Rev. A 85, 012325 (2012).
  75. L. Van Damme, R. Zeier, S. J. Glaser, and D. Sugny, Application of the Pontryagin maximum principle to the time-optimal control in a chain of three spins with unequal couplings, Phys. Rev. A 90, 013409 (2014).
  76. 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).
  77. N. Rach, M. M. Müller, T. Calarco, and S. Montangero, Dressing the chopped-random-basis optimization: A bandwidth-limited access to the trap-free landscape, Phys. Rev. A 92, 062343 (2015).
  78. R. Heck, O. Vuculescu, J. J. Sørensen, J. Zoller, M. G. Andreasen, M. G. Bason, P. Ejlertsen, O. Elíasson, P. Haikka, J. S. Laustsen, L. L. Nielsen, A. Mao, R. Müller, M. Napolitano, M. K. Pedersen, A. R. Thorsen, C. Bergenholtz, T. Calarco, S. Montangero, and J. F. Sherson, Remote optimization of an ultracold atoms experiment by experts and citizen scientists, PNAS 115, E11231 (2018).
  79. R. Nigmatullin and S. G. Schirmer, Implementation of fault-tolerant quantum logic gates via optimal control, New J. Phys. 11, 105032 (2009).
  80. P. de Fouquieres, S. Schirmer, S. Glaser, and I. Kuprov, Second order gradient ascent pulse engineering, J. Magn. Reson. 212, 412 (2011).
  81. T. Caneva, T. Calarco, and S. Montangero, Chopped random-basis quantum optimization, Phys. Rev. A 84, 022326 (2011).
  82. P. Doria, T. Calarco, and S. Montangero, Optimal control technique for many-body quantum dynamics, Phys. Rev. Lett. 106, 190501 (2011).
  83. 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).
  84. S. Machnes, U. Sander, S. J. Glaser, P. de Fouquières, A. Gruslys, S. Schirmer, and T. Schulte-Herbrüggen, Comparing, optimizing, and benchmarking quantum-control algorithms in a unifying programming framework, Phys. Rev. A 84, 022305 (2011).
  85. M. Rossignolo, T. Reisser, A. Marshall, P. Rembold, A. Pagano, P. J. Vetter, R. S. Said, M. M. Müller, F. Motzoi, T. Calarco, F. Jelezko, and S. Montangero, QuOCS: The quantum optimal control suite, Comput. Phys. Commun. 291, 108782 (2023).
  86. P. Rembold, N. Oshnik, M. M. Müller, S. Montangero, T. Calarco, and E. Neu, Introduction to quantum optimal control for quantum sensing with nitrogen-vacancy centers in diamond, AVS Quantum Sci. 2, 024701 (2020).
  87. T. Pichler, T. Caneva, S. Montangero, M. D. Lukin, and T. Calarco, Noise-resistant optimal spin squeezing via quantum control, Phys. Rev. A 93, 013851 (2016).
  88. S. van Frank, A. Negretti, T. Berrada, R. Bücker, S. Montangero, J.-F. Schaff, T. Schumm, T. Calarco, and J. Schmiedmayer, Interferometry with non-classical motional states of a Bose–Einstein condensate, Nat. Commun. 5, 4009 (2014).
  89. T. Caneva, T. Calarco, R. Fazio, G. E. Santoro, and S. Montangero, Speeding up critical system dynamics through optimized evolution, Phys. Rev. A 84, 012312 (2011).
  90. 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).
  91. D. Petrosyan, F. Motzoi, M. Saffman, and K. Mølmer, High-fidelity Rydberg quantum gate via a two-atom dark state, Phys. Rev. A 96, 042306 (2017).
  92. J. Singh, J. A. P. Reuter, T. Calarco, F. Motzoi, and R. Zeier, Raw data files, 2025, https://doi.org/10.26165/JUELICH-DATA/GG80VM.
  93. C. Chin, R. Grimm, P. Julienne, and E. Tiesinga, Feshbach resonances in ultracold gases, Rev. Mod. Phys. 82, 1225 (2010).
  94. G. H. Wannier, The structure of electronic excitation levels in insulating crystals, Phys. Rev. 52, 191 (1937).
  95. W. Kohn, Analytic properties of Bloch waves and Wannier functions, Phys. Rev. 115, 809 (1959).
  96. W. Kohn, Construction of Wannier functions and applications to energy bands, Phys. Rev. B 7, 4388 (1973).
  97. T. Esslinger, Fermi-Hubbard physics with atoms in an optical lattice, Annu. Rev. Condens. Matter Phys. 1, 129 (2010).
  98. W. Hofstetter, J. I. Cirac, P. Zoller, E. Demler, and M. D. Lukin, High-temperature superfluidity of fermionic atoms in optical lattices, Phys. Rev. Lett. 89, 220407 (2002).
  99. F. Görg, Ultracold fermionic atoms in optical superlattices, Master thesis, Technischen Universität München, 2014.
  100. A. Omran, A microscope for Fermi gases, Ph.D. thesis, 2016, http://nbn-resolving.de/urn:nbn:de:bvb:19-194401.
  101. M. Boll, Spin and density resolved microscopy of Hubbard chains, Ph.D. thesis, 2016, http://nbn-resolving.de/urn:nbn:de:bvb:19-202294.
  102. R. H. Byrd, P. Lu, J. Nocedal, and C. Zhu, A limited memory algorithm for bound constrained optimization, SIAM J. Sci. Comput. 16, 1190 (1995).
  103. R. H. Byrd, J. Nocedal, and R. B. Schnabel, Representations of quasi-Newton matrices and their use in limited memory methods, Math. Program. 63, 129 (1994).
  104. M. Dalgaard, F. Motzoi, J. H. M. Jensen, and J. Sherson, Hessian-based optimization of constrained quantum control, Phys. Rev. A 102, 042612 (2020).
  105. F. Motzoi, J. M. Gambetta, S. T. Merkel, and F. K. Wilhelm, Optimal control methods for rapidly time-varying Hamiltonians, Phys. Rev. A 84, 022307 (2011).
  106. J. Singh, R. Zeier, T. Calarco, and F. Motzoi, Compensating for nonlinear distortions in controlled quantum systems, Phys. Rev. Appl. 19, 064067 (2023).
  107. U. Rasulov and I. Kuprov, Instrumental distortions in quantum optimal control, J. Chem. Phys. 162, 164107 (2025).
  108. A. H. Al-Mohy and N. J. Higham, Computing the Fréchet derivative of the matrix exponential, with an application to condition number estimation, SIAM J. Matrix Anal. Appl. 30, 1639 (2009).
  109. P. Virtanen, R. Gommers, and T. Oliphant, SciPy 1.0: Fundamental algorithms for scientific computing in Python, Nat. Methods 17, 261 (2020).
  110. J. H. Wilkinson, The Algebraic Eigenvalue Problem (Clarendon Press, Oxford, 1965).
  111. A. G. Baydin, B. A. Pearlmutter, A. A. Radul, and J. M. Siskind, Automatic differentiation in machine learning: A survey, J. Mach. Learn. Res. 18, 5595 (2017).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation