High Convergence Rates of CMOS Invertible Logic Circuits Based on Many-Body Hamiltonians
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| Format: | Preprint |
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2026
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| _version_ | 1866918342159237120 |
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| author | Onizawa, Naoya Hanyu, Takahiro |
| author_facet | Onizawa, Naoya Hanyu, Takahiro |
| contents | This paper introduces CMOS invertible-logic (CIL) circuits based on many-body Hamiltonians. CIL can realize probabilistic forward and backward operations of a function by annealing a corresponding Hamiltonian using stochastic computing. We have created a Hamiltonian that includes three-body interaction of spins (probabilistic nodes). It provides some degrees of freedom to design a simpler landscape of Hamiltonian (energy) than that of the conventional two-body Hamiltonian. The simpler landscape makes it easier to reach the global minimum energy. The proposed three-body CIL circuits are designed and evaluated with the conventional two-body CIL circuits, resulting in few-times higher convergence rates with negligible area overhead on FPGA. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_15033 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | High Convergence Rates of CMOS Invertible Logic Circuits Based on Many-Body Hamiltonians Onizawa, Naoya Hanyu, Takahiro Emerging Technologies Machine Learning This paper introduces CMOS invertible-logic (CIL) circuits based on many-body Hamiltonians. CIL can realize probabilistic forward and backward operations of a function by annealing a corresponding Hamiltonian using stochastic computing. We have created a Hamiltonian that includes three-body interaction of spins (probabilistic nodes). It provides some degrees of freedom to design a simpler landscape of Hamiltonian (energy) than that of the conventional two-body Hamiltonian. The simpler landscape makes it easier to reach the global minimum energy. The proposed three-body CIL circuits are designed and evaluated with the conventional two-body CIL circuits, resulting in few-times higher convergence rates with negligible area overhead on FPGA. |
| title | High Convergence Rates of CMOS Invertible Logic Circuits Based on Many-Body Hamiltonians |
| topic | Emerging Technologies Machine Learning |
| url | https://arxiv.org/abs/2602.15033 |