journal article·2026-02Open access

Experimental Joint Estimation of Phase and Phase Diffusion Via Deterministic Bell Measurements

Ben Wang, Minghao Mi, Huangqiuchen Wang, Qian Xie, Lijian Zhang

Advanced Science· Volume 13· Issue 11

Abstract

Abstract Accurate phase estimation plays a pivotal role in quantum metrology, yet its precision is significantly affected by noise, particularly phase‐diffusive noise caused by phase drift. To address this challenge, the joint estimation of phase and phase diffusion has emerged as an effective approach, transforming the problem into a multi‐parameter estimation task. However, the incompatibility between optimal measurements for different parameters prevents single‐copy measurements from reaching the fundamental precision limits defined by the quantum Cramér–Rao bound. Meanwhile, collective measurements performed on multiple identical copies can mitigate this incompatibility and thus enhance the precision of joint parameter estimation. This work experimentally demonstrates joint phase and phase‐diffusion estimation using deterministic Bell measurements on a two‐qubit system. A linear optical network is employed to implement both parameter encoding and deterministic Bell measurements, achieving improved estimation precision compared to any separable measurement strategy. This work proposes a new framework for phase estimation under phase‐diffusive noise and underscores the substantial advantages of collective measurements in multi‐parameter quantum metrology.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Quantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Advanced NMR Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering and Applied Sciences, Jiangsu Physical Science Research Center, Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 China

Funding

National Natural Science Foundation of China · National Key Research and Development Program of China · Natural Science Foundation of Jiangsu Province

References (66)

Show source-provided references
1. 10.1103/PhysRevD.23.169310.1103/PhysRevD.23.1693 ↗
2. 10.1103/PhysRevLett.59.27810.1103/PhysRevLett.59.278 ↗
3. 10.1103/PhysRevLett.59.215310.1103/PhysRevLett.59.2153 ↗
4. 10.1126/science.110414910.1126/science.1104149 ↗
5. 10.1038/nature0625710.1038/nature06257 ↗
6. 10.1088/1367-2630/11/7/07302310.1088/1367-2630/11/7/073023 ↗
7. 10.1038/s41467-018-06601-710.1038/s41467-018-06601-7 ↗
8. 10.1038/nphys92010.1038/nphys920 ↗
9. 10.1038/ncomms112210.1038/ncomms1122 ↗
10. 10.1103/PhysRevLett.110.18110110.1103/PhysRevLett.110.181101 ↗
11. 10.1103/PhysRevLett.85.273310.1103/PhysRevLett.85.2733 ↗
12. 10.1103/PhysRevLett.87.01360210.1103/PhysRevLett.87.013602 ↗
13. 10.1364/OE.15.01424410.1364/OE.15.014244 ↗
14. 10.1038/s42254-019-0056-010.1038/s42254-019-0056-0 ↗
15. 10.1103/PhysRevLett.88.20360110.1103/PhysRevLett.88.203601 ↗
16. 10.1038/ncomms342610.1038/ncomms3426 ↗
17. 10.1038/ncomms206710.1038/ncomms2067 ↗
18. 10.1103/PhysRevA.83.06383610.1103/PhysRevA.83.063836 ↗
19. 10.1103/PhysRevA.80.01382510.1103/PhysRevA.80.013825 ↗
20. 10.1103/PhysRevLett.102.04040310.1103/PhysRevLett.102.040403 ↗
21. 10.1038/nphoton.2010.3910.1038/nphoton.2010.39 ↗
22. 10.1103/PhysRevA.81.01230510.1103/PhysRevA.81.012305 ↗
23. 10.1103/PhysRevLett.106.15360310.1103/PhysRevLett.106.153603 ↗
24. 10.1103/PhysRevA.85.04381710.1103/PhysRevA.85.043817 ↗
25. 10.1103/PhysRevLett.109.19040410.1103/PhysRevLett.109.190404 ↗
26. Estimation of phase and diffusion: combining quantum statistics and classical noise
27. 10.1038/ncomms453210.1038/ncomms4532 ↗
28. 10.1103/PhysRevA.92.03211410.1103/PhysRevA.92.032114 ↗
29. 10.1088/1367-2630/ad5eb010.1088/1367-2630/ad5eb0 ↗
30. 10.1016/j.physleta.2003.12.00110.1016/j.physleta.2003.12.001 ↗
31. 10.1103/PhysRevA.94.05210810.1103/PhysRevA.94.052108 ↗
32. 10.1103/PhysRevA.105.06244210.1103/PhysRevA.105.062442 ↗
33. 10.1007/BF0100747910.1007/BF01007479 ↗
34. 10.1007/978-88-7642-378-910.1007/978-88-7642-378-9 ↗
35. 10.1103/PhysRevLett.126.12050310.1103/PhysRevLett.126.120503 ↗
36. 10.1038/nphoton.2010.26810.1038/nphoton.2010.268 ↗
37. 10.1126/science.113800710.1126/science.1138007 ↗
38. 10.1038/s41534-017-0014-610.1038/s41534-017-0014-6 ↗
39. 10.1038/s41467-018-03849-x10.1038/s41467-018-03849-x ↗
40. 10.1038/s41567-022-01875-710.1038/s41567-022-01875-7 ↗
41. 10.1103/PhysRevLett.96.19050110.1103/PhysRevLett.96.190501 ↗
42. 10.1103/PhysRevLett.118.05050110.1103/PhysRevLett.118.050501 ↗
43. 10.1038/nphys91910.1038/nphys919 ↗
44. 10.1088/2058-9565/aa921210.1088/2058-9565/aa9212 ↗
45. 10.1103/PhysRevLett.114.20360210.1103/PhysRevLett.114.203602 ↗
46. 10.1103/PhysRevA.100.04230210.1103/PhysRevA.100.042302 ↗
47. 10.1017/S030500410000958010.1017/S0305004100009580 ↗
48. 10.1142/S021974990900483910.1142/S0219749909004839 ↗
49. 10.1063/1.298813010.1063/1.2988130 ↗
50. 10.1038/s41598-018-27362-910.1038/s41598-018-27362-9 ↗
51. 10.1103/PhysRevLett.123.20050310.1103/PhysRevLett.123.200503 ↗
52. 10.1038/nphoton.2014.15210.1038/nphoton.2014.152 ↗
53. 10.1088/1751-8121/ab8ef310.1088/1751-8121/ab8ef3 ↗
54. Szczykulska M. · Adv. Phys.: X · 2016 · 1 · 621
55. 10.1088/1751-8121/ab5d4d10.1088/1751-8121/ab5d4d ↗
56. 10.1016/j.physleta.2020.12631110.1016/j.physleta.2020.126311 ↗
57. 10.1016/j.physrep.2007.05.00610.1016/j.physrep.2007.05.006 ↗
58. 10.1007/BF0139728010.1007/BF01397280 ↗
59. 10.1103/PhysRevLett.110.22040210.1103/PhysRevLett.110.220402 ↗
60. 10.1103/PhysRevA.90.04211310.1103/PhysRevA.90.042113 ↗
61. 10.1103/PhysRevLett.72.343910.1103/PhysRevLett.72.3439 ↗
62. 10.1103/PhysRevLett.120.03040410.1103/PhysRevLett.120.030404 ↗
63. 10.1038/s41534-024-00894-x10.1038/s41534-024-00894-x ↗
64. 10.1088/0305-4470/35/13/30710.1088/0305-4470/35/13/307 ↗
65. J.Zhang J.Suzuki Qestoptpovm: An iterative algorithm to find optimal measurements for quantum parameter estimation 2024 https://arxiv.org/abs/2403.20131.
66. 10.1038/s41534-024-00894-x10.1038/s41534-024-00894-x ↗