Leptons as Elementary Qubits: Feasibility and Challenges

Authors

  • P.J. Kervalishvili Georgian Technical University

DOI:

https://doi.org/10.15407/ujpe71.2.146

Keywords:

quantum computing, qubits, leptons, decoherence, quantum error correction

Abstract

Quantum computing traditionally encodes information in engineered quantum systems such as superconducting circuits, trapped ions, or quantum dots. In this theoretical study, we explore a paradigm shift by proposing the direct use of elementary particles, specifically charged leptons (electrons, muons, and tau particles), as natural qubits. We analyze the intrinsic quantum properties of leptons – particularly their spin-1/2 degree of freedom – for qubit encoding, discussing the potential for long coherence times and minimal fabrication complexity. The significant challenges of environmental decoherence, state measurement, and scalability are examined in detail, with a focus on the unique obstacle of particle decay for muons and taus. We propose potential mitigation strategies, including advanced trapping techniques and quantum error correction, and outline future research directions. While substantial experimental hurdles remain, lepton-based qubits represent a promising, fundamental approach to quantum information processing that warrants further investigation.

References

1. J. Clarke, F.K. Wilhelm. Superconducting quantum bits. Nature 453, 1031 (2008).

https://doi.org/10.1038/nature07128

2. C. Monroe, J. Kim. Scaling the ion trap quantum processor. Science 339, 1164 (2013).

https://doi.org/10.1126/science.1231298

3. M. Veldhorst et al. A two-qubit logic gate in silicon. Nature 526, 410 (2015).

https://doi.org/10.1038/nature15263

4. D. Loss, D.P. DiVincenzo. Quantum computation with quantum dots. Phys. Rev. A 57, 120 (1998).

https://doi.org/10.1103/PhysRevA.57.120

5. P.J. Kervalishvili. Quantum Information Science: Some Novel Views. In: Information and Computer Technologies (Nova Science Publishers, 2012).

6. P.J. Kervalishvili. Leptons based quantum computing. Acta Scient. Comp. Sci. 5 (7), 12 (2023).

7. S. Haroche, J.-M. Raimond. Exploring the Quantum: Atoms, Cavities, and Photons (Oxford University Press, 2006).

https://doi.org/10.1093/acprof:oso/9780198509141.001.0001

8. M. Blasone et al. Particle mixing and entanglement. AIP Conference Proceedings 1160 (1), 103 (2009).

9. M.A. Nielsen, I.L. Chuang. Quantum Computation and Quantum Information (Cambridge University Press, 2010).

10. N. Gisin, R. Thew. Quantum communication. Nat. Photonics 1, 165 (2000).

https://doi.org/10.1038/nphoton.2007.22

11. J.J.L. Morton et al. Solid-state quantum memory using the 31P nuclear spin. Nature 455, 1085 (2008).

https://doi.org/10.1038/nature07295

12. D.J. Wineland et al. Experimental issues in coherent quantum-state manipulation of trapped atomic ions. J. Res. Natl. Inst. Stand. Technol. 103, 259 (1998).

https://doi.org/10.6028/jres.103.019

13. W.H. Zurek. Decoherence, einselection, and the quantum origins of the classical. Rev. Mod. Phys. 75, 715 (2003).

https://doi.org/10.1103/RevModPhys.75.715

14. R. Hanson, V.V. Dobrovitski, A.E. Feiguin, O. Gywat, D.D. Awschalom. Coherent dynamics of a single spin interacting with an adjustable spin bath. Science 320, 352 (2008).

https://doi.org/10.1126/science.1155400

15. L.S. Brown, G. Gabrielse. Geonium theory: Physics of a single electron or ion in a Penning trap. Rev. Mod. Phys. 58, 233 (1986).

https://doi.org/10.1103/RevModPhys.58.233

16. D.J. Wineland et al. Experimental issues in coherent quantum-statemanipulation of trapped atomic ions. J. Res. Natl. Inst. Stand. Technol. 103, 259 (1998).

https://doi.org/10.6028/jres.103.019

17. R. Blatt, D. Wineland. Entangled states of trapped atomic ions. Nature 453 (7198), 1008 (2008).

https://doi.org/10.1038/nature07125

18. J.P. Bonilla Ataides et al. The XZZX surface code. Nat. Commun. 12, 2172 (2021).

https://doi.org/10.1038/s41467-021-22274-1

19. N.P. Breuckmann, J.N. Eberhardt. Quantum low-density parity-check codes. PRX Quantum 2, 040101 (2021).

https://doi.org/10.1103/PRXQuantum.2.040101

20. S.M. Girvin. Circuit QED: Superconducting Qubits Coupled to Microwave Photons, in Quantum Machines: Measurement and Control of Engineered Quantum Systems (Les Houches, 2011).

21. Z. Leghtas et al. Hardware-efficient autonomous quantum memory protection. Phys. Rev. Lett. 111, 120501 (2013).

https://doi.org/10.1103/PhysRevLett.111.120501

22. P.J. Kervalishvili. Quantum information technology and quantum sensory systems development. J. Internet Technol. Secured Trans. 4, 430 (2015).

https://doi.org/10.20533/jitst.2046.3723.2015.0055

23. R. Acciarri et al., (DUNE Collaboration). Long-Baseline Neutrino Facility (LBNF) and Deep Underground Neutrino Experiment (DUNE, 2016). arXiv: 1601.05471.

24. T.P. Gorringe, D.W. Hertzog. Precision muon physics. Prog. Part. Nucl. Phys. 84, 73 (2015).

https://doi.org/10.1016/j.ppnp.2015.06.001

25. B.M. Terhal. Quantum error correction for quantum memories. Rev. Mod. Phys. 87, 307 (2015).

https://doi.org/10.1103/RevModPhys.87.307

Downloads

Published

2026-02-18

Issue

Section

Theory

How to Cite

Leptons as Elementary Qubits: Feasibility and Challenges. (2026). Ukrainian Journal of Physics, 71(2), 146. https://doi.org/10.15407/ujpe71.2.146