Multi‐Physical Field Modulated P‐Bit Device Based on VO 2 Thin Film
Source abstract
Abstract
ABSTRACT Probabilistic computation using probability bits (P‐bits) is highly effective for combinatorial optimization problems such as integer factorization because of its fast search ability. However, implementing P‐bits with traditional complementary metal‐oxide‐semiconductor (CMOS) technology usually needs external noise for randomness, which complicates fabrication and system integration. To overcome these challenges, we have proposed a VO 2 ‐based P‐bit device where synergistic multi‐physical field modulation (electric, thermal, optical) enables real‐time tunability of randomness—an obvious advance beyond previous P‐bits, which rely primarily on single‐field control. This P‐bit provides excellent durability and inherent randomness, with output probability that can be adjusted via multi‐physical field modulation. Besides introducing a new phase‐change material‐based device approach for high‐performance P‐bits, this study also demonstrates a synergistic multi‐physical field modulation strategy that opens new opportunities for neuromorphic device applications.
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Research context
OpenAlex topics: Transition Metal Oxide Nanomaterials · Advanced Memory and Neural Computing · Phase-change materials and chalcogenides
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National Synchrotron Radiation Laboratory, School of Nuclear Science and Technology University of Science and Technology of China Hefei Anhui P. R. China
Funding
National Natural Science Foundation of China · Fundamental Research Funds for the Central Universities
References (42)
Show source-provided references
1. 10.1038/s41467‐022‐33455‐x10.1038/s41467‐022‐33455‐x ↗
2. 10.1038/s41928‐022‐00774‐210.1038/s41928‐022‐00774‐2 ↗
3. 10.1063/5.006792710.1063/5.0067927 ↗
4. 10.1063/5.015739410.1063/5.0157394 ↗
5. 10.1038/s41586‐019‐1557‐910.1038/s41586‐019‐1557‐9 ↗
6. 10.1038/s41598‐025‐90520‐310.1038/s41598‐025‐90520‐3 ↗
7. Zand R. · 2018 · 15
8. 10.1109/jxcdc.2019.295646810.1109/jxcdc.2019.2956468 ↗
9. 10.1021/acsnano.5c1507610.1021/acsnano.5c15076 ↗
10. 10.1038/s41928‐024‐01182‐410.1038/s41928‐024‐01182‐4 ↗
11. 10.1038/s41467‐024‐46645‐610.1038/s41467‐024‐46645‐6 ↗
12. 10.1002/adfm.20230793510.1002/adfm.202307935 ↗
13. 10.1109/lmag.2019.295725810.1109/lmag.2019.2957258 ↗
14. 10.1109/lmag.2019.291297110.1109/lmag.2019.2912971 ↗
15. 10.1038/s41598‐025‐93218‐810.1038/s41598‐025‐93218‐8 ↗
16. 10.1109/led.2023.328552510.1109/led.2023.3285525 ↗
17. 10.1073/pnas.250758712210.1073/pnas.2507587122 ↗
18. 10.1002/lpor.20250030310.1002/lpor.202500303 ↗
19. 10.1021/acsami.4c0454610.1021/acsami.4c04546 ↗
20. 10.1126/sciadv.adg937610.1126/sciadv.adg9376 ↗
21. 10.1002/advs.20230090810.1002/advs.202300908 ↗
22. 10.1038/s41467‐022‐31747‐w10.1038/s41467‐022‐31747‐w ↗
23. 10.1109/led.2023.330387510.1109/led.2023.3303875 ↗
24. 10.1038/nnano.2015.22110.1038/nnano.2015.221 ↗
25. 10.1002/adma.20240249010.1002/adma.202402490 ↗
26. 10.1021/acsami.6b0350110.1021/acsami.6b03501 ↗
27. 10.1063/1.490680110.1063/1.4906801 ↗
28. 10.1126/science.abd908810.1126/science.abd9088 ↗
29. 10.1002/advs.20240935310.1002/advs.202409353 ↗
30. 10.1021/acs.nanolett.9b0155410.1021/acs.nanolett.9b01554 ↗
31. 10.1038/s41563‐024‐01913‐010.1038/s41563‐024‐01913‐0 ↗
32. 10.1038/s41467‐024‐45992‐810.1038/s41467‐024‐45992‐8 ↗
33. 10.1103/PhysRevX.7.03101410.1103/PhysRevX.7.031014 ↗
34. 10.1038/s41467‐023‐43085‐610.1038/s41467‐023‐43085‐6 ↗
35. 10.1038/s41467‐021‐23184‐y10.1038/s41467‐021‐23184‐y ↗
36. 10.1002/adma.20250225510.1002/adma.202502255 ↗
37. 10.1038/144710a010.1038/144710a0 ↗
38. 10.1002/adma.20250834210.1002/adma.202508342 ↗
39. 10.1038/s41467‐025‐62251‐610.1038/s41467‐025‐62251‐6 ↗
40. 10.1002/advs.20240787010.1002/advs.202407870 ↗
41. 10.1039/d0mh01759k10.1039/d0mh01759k ↗
42. 10.1038/s41467‐020‐17215‐310.1038/s41467‐020‐17215‐3 ↗