- Open Access
Parity flow formalism: Tracking quantum information throughout computation
Phys. Rev. Research 8, 013095 – Published 29 January, 2026
DOI: https://doi.org/10.1103/6xlb-l92j
Abstract
We propose the parity flow formalism, a method for tracking the information flow in quantum circuits. This method adds labels to quantum circuit diagrams such that the action of Clifford gates can be understood as a recoding of quantum information. The action of non-Clifford gates in the encoded space can be directly deduced from those labels without backtracking. An application of flow tracking is to design resource-efficient quantum circuits by changing any present encoding via a simple set of rules. Finally, the parity flow formalism can be used in combination with stabilizer codes to further reduce quantum circuit depth and to reveal additional operations that can be implemented in parallel.
Physics Subject Headings (PhySH)
See Also
SWAP-less implementation of quantum algorithms
Article Text
References (51)
- J. I. Cirac and P. Zoller, Quantum computations with cold trapped ions, Phys. Rev. Lett. 74, 4091 (1995).
- S. Lloyd, Universal quantum simulators, Science 273, 1073 (1996).
- R. Raussendorf and H. J. Briegel, A one-way quantum computer, Phys. Rev. Lett. 86, 5188 (2001).
- J. Koch, T. M. Yu, J. Gambetta, A. A. Houck, D. I. Schuster, J. Majer, A. Blais, M. H. Devoret, S. M. Girvin, and R. J. Schoelkopf, Charge-insensitive qubit design derived from the Cooper pair box, Phys. Rev. A 76, 042319 (2007).
- H. Haffner, C. Roos, and R. Blatt, Quantum computing with trapped ions, Phys. Rep. 469, 155 (2008).
- L. DiCarlo, J. M. Chow, J. M. Gambetta, L. S. Bishop, B. R. Johnson, D. I. Schuster, J. Majer, A. Blais, L. Frunzio, S. M. Girvin, and R. J. Schoelkopf, Demonstration of two-qubit algorithms with a superconducting quantum processor, Nature (London) 460, 240 (2009).
- T. F. Watson, S. G. J. Philips, E. Kawakami, D. R. Ward, P. Scarlino, M. Veldhorst, D. E. Savage, M. G. Lagally, M. Friesen, S. N. Coppersmith, M. A. Eriksson, and L. M. K. Vandersypen, A programmable two-qubit quantum processor in silicon, Nature (London) 555, 633 (2018).
- F. Arute, K. Arya, R. Babbush, D. Bacon, J. C. Bardin, R. Barends, R. Biswas, S. Boixo, F. G. Brandao, D. A. Buell, et al., Quantum supremacy using a programmable superconducting processor, Nature (London) 574, 505 (2019).
- D. Bluvstein, S. J. Evered, A. A. Geim, S. H. Li, H. Zhou, T. Manovitz, S. Ebadi, M. Cain, M. Kalinowski, D. Hangleiter, et al., Logical quantum processor based on reconfigurable atom arrays, Nature (London) 626, 58 (2023).
- D. Deutsch and R. Jozsa, Rapid solution of problems by quantum computation, Proc. R. Soc. London Ser. A 439, 553 (1992).
- P. W. Shor, Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer, SIAM J. Comput. 26, 1484 (1997).
- E. Bernstein and U. Vazirani, Quantum complexity theory, SIAM J. Comput. 26, 1411 (1997).
- B. M. Terhal, Quantum error correction for quantum memories, Rev. Mod. Phys. 87, 307 (2015).
- R. Babbush, N. Wiebe, J. McClean, J. McClain, H. Neven, and G. K.-L. Chan, Low-depth quantum simulation of materials, Phys. Rev. X 8, 011044 (2018).
- M. Reck, A. Zeilinger, H. J. Bernstein, and P. Bertani, Experimental realization of any discrete unitary operator, Phys. Rev. Lett. 73, 58 (1994).
- D. P. DiVincenzo, Two-bit gates are universal for quantum computation, Phys. Rev. A 51, 1015 (1995).
- 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).
- I. D. Kivlichan, J. McClean, N. Wiebe, C. Gidney, A. Aspuru-Guzik, G. K.-L. Chan, and R. Babbush, Quantum simulation of electronic structure with linear depth and connectivity, Phys. Rev. Lett. 120, 110501 (2018).
- A. Cowtan, S. Dilkes, R. Duncan, A. Krajenbrink, W. Simmons, and S. Sivarajah, On the qubit routing problem, in 14th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2019), Leibniz International Proceedings in Informatics (LIPIcs), edited by W. van Dam and L. Mancinska (Schloss Dagstuhl—Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, 2019), Vol. 135, pp. 5:1–5:3.2
- B. O’Gorman, W. J. Huggins, E. G. Rieffel, and K. B. Whaley, Generalized swap networks for near-term quantum computing, arXiv:1905.05118 [quant-ph].
- G. Nannicini, L. S. Bishop, O. Gunluk, and P. Jurcevic, Optimal qubit assignment and routing via integer programming, ACM Trans. Quantum Comput. 4, 1 (2022).
- J. Paykin, A. T. Schmitz, M. Ibrahim, X.-C. Wu, and A. Y. Matsuura, PCOAST: A Pauli-based quantum circuit optimization framework, in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE) (IEEE, Bellevue, WA, USA, 2023).
- A. Kissinger and A. M. van de Griend, CNOT circuit extraction for topologically-constrained quantum memories, Quantum Inf. Comput. 20, 581 (2020).
- A. T. Schmitz, N. P. D. Sawaya, S. Johri, and A. Y. Matsuura, Graph optimization perspective for low-depth Trotter-Suzuki decomposition, Phys. Rev. A 109, 042418 (2024).
- A. Meijer-van de Griend and R. Duncan, Architecture-aware synthesis of phase polynomials for NISQ devices, Electron. Proc. Theor. Comput. Sci. 394, 116 (2023).
- S. Aaronson and D. Gottesman, Improved simulation of stabilizer circuits, Phys. Rev. A 70, 052328 (2004).
- D. Gottesman, The Heisenberg representation of quantum computers, in Group22: Proceedings of the XXII International Colloquium on Group Theoretical Methods in Physics, edited by S. P. Corney, R. Delbourgo, and P. D. Jarvis (International Press, Cambridge, MA, 1999), pp. 32–43.
- N. de Beaudrap, A linearized stabilizer formalism for systems of finite dimension, Quantum Inf. Comput. 13, 73 (2013).
- C. Gidney, Stim: A fast stabilizer circuit simulator, Quantum 5, 497 (2021).
- D. Winderl, Q. Huang, A. M. van de Griend, and R. Yeung, Architecture-aware synthesis of stabilizer circuits from Clifford tableaus, arXiv:2309.08972 [quant-ph].
- B. Nash, V. Gheorghiu, and M. Mosca, Quantum circuit optimizations for NISQ architectures, Quantum Sci. Technol. 5, 025010 (2020).
- B. Peng, S. Gulania, Y. Alexeev, and N. Govind, Quantum time dynamics employing the Yang-Baxter equation for circuit compression, Phys. Rev. A 106, 012412 (2022).
- B. Klaver, S. Rombouts, M. Fellner, A. Messinger, K. Ender, K. Ludwig, and W. Lechner, companion paper, SWAP-less implementation of quantum algorithms, Phys. Rev. A 113, 012443 (2026).
- J. Dehaene and B. De Moor, Clifford group, stabilizer states, and linear and quadratic operations over GF(2), Phys. Rev. A 68, 042318 (2003).
- D. Gosset, D. Grier, A. Kerzner, and L. Schaeffer, Fast simulation of planar Clifford circuits, Quantum 8, 1251 (2024).
- L. Hantzko, L. Binkowski, and S. Gupta, Tensorized Pauli decomposition algorithm, Phys. Scr. 99, 085128 (2024).
- A. Cowtan, S. Dilkes, R. Duncan, W. Simmons, and S. Sivarajah, Phase gadget synthesis for shallow circuits, Electron. Proc. Theor. Comput. Sci. 318, 213 (2020).
- F. Domínguez, M. Fellner, B. Klaver, S. Rombouts, C. Ertler, and W. Lechner, Runtime reduction in linear quantum charge-coupled devices using the parity flow formalism, arXiv:2410.16382 [quant-ph].
- F. Dreier, C. Fleckenstein, G. Aigner, M. Fellner, R. Stahn, M. Lanthaler, and W. Lechner, Connectivity-aware synthesis of quantum algorithms, arXiv:2501.14020 [quant-ph].
- O. Koska, M. Baboulin, and A. Gazda, A tree-approach Pauli decomposition algorithm with application to quantum computing, in ISC High Performance 2024 Research Paper Proceedings (39th International Conference) (Prometeus GmbH, 2024), pp. 1–11.
- A. Messinger, M. Fellner, and W. Lechner, Constant depth code deformations in the parity architecture, in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE) (IEEE, Bellevue, WA, USA, 2023).
- M. Fellner, A. Messinger, K. Ender, and W. Lechner, Applications of universal parity quantum computation, Phys. Rev. A 106, 042442 (2022).
- In this case, updating of Clifford phases is not yet needed, since act trivially.
- M. Amy, P. Azimzadeh, and M. Mosca, On the controlled-not complexity of controlled-not–phase circuits, Quantum Sci. Technol. 4, 015002 (2018).
- W. Lechner, P. Hauke, and P. Zoller, A quantum annealing architecture with all-to-all connectivity from local interactions, Sci. Adv. 1, e1500838 (2015).
- M. Fellner, A. Messinger, K. Ender, and W. Lechner, Universal parity quantum computing, Phys. Rev. Lett. 129, 180503 (2022).
- V. Vandaele, S. Martiel, and T. Brugière, Phase polynomials synthesis algorithms for NISQ architectures and beyond, Quantum Sci. Technol. 7, 045027 (2022).
- To be precise, the indices and the indices are elements in the disjoint union of two identical copies of and the colors and/or the brackets indicate whether an index lives in the first copy, written as , translating to , or in the second copy, written as , translating to
- J. Alman, R. Duan, V. V. Williams, Y. Xu, Z. Xu, and R. Zhou, More asymmetry yields faster matrix multiplication, in Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) (SIAM, 2025), pp. 2005–2039.
- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information (Cambridge University Press, USA, 2011), 10th anniversary ed.
- We use colors as an additional visual aid (logical operators and physical operators and ). While aiming at accessibility of the chosen colors, there is no information lost without them.