A Complete Photonic-Ternary Computing Stack: From SWCNT@MWCNT Device to Compiled Operating System (THATTEOS)
I present a complete balanced ternary computing stack spanning six layers—from a simulation-confirmed photonic carbon nanotube device through a compiled operating system. The foundational element is a metallic (8,8) armchair single-wall carbon nanotube (SWCNT) coaxially enclosed within a (13,13) multi-wall carbon nanotube (MWCNT). Non-equilibrium Green's function (NEGF) quantum transport simulation confirms three cleanly separated current states: +74 μA, 0 μA, and −74 μA at 0.5 V bias, encoding balanced ternary trit values {+1, 0, −1} with a signal-to-noise ratio exceeding 2000 (54 dB). Atop this device, I describe a passive current-summing gate library, a photon-clocked processor with a balanced ternary instruction set (T3ISA), a ferroelectric memory hierarchy with a hardware trit-trie search circuit, ternary cryptographic primitives, and a purpose-built programming language (ManiT) with a dual-target compiler and microkernel operating system (THATTEOS)—all implemented and verified. Six patent applications covering the full stack have been filed with the Indian Patent Office. Version 3. Corrects the device transport figures and withdraws the version 2 statement that the quantum-transport results are independent of the optical transition wavelength. The current at 0.5 V is corrected from ±74 µA to ±50.887 µA, the signal-to-noise ratio from ">2000 (54 dB)" to 1453.9 (63.25 dB), and the outer-tube suppression of inner-tube transmission from 27% to 44.1%. The optical transition assignment given in version 2 is withdrawn as unverified and deliberately not replaced. The balanced-ternary encoding, the three-state operating principle and the stack architecture are unchanged.
Authors
- Manish Thatte (ORCID: https://orcid.org/0009-0003-8050-1242)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-20
- DOI
- https://doi.org/10.5281/zenodo.19518693
- Primary Topic
- Carbon Nanotubes in Composites
- Type
- preprint