Two-Dimensional Triple-Gated Transistors for Multi-Input Logic and Multistate Secure Communication

Logical operations and an encrypted scheme are promising for the artificial intelligence field. However, it is still challenging to realize multi-input logical integration and multistate secure encryption. Herein, a WSe2-based triple-gated field-effect transistor (TG-FET) is designed, in which the current states are strongly dependent on different gate synergetic regulations. For a single device, the artificial neural algorithm is used to verify the logic operation and anti-interference, and the noise margin of the three-input NOR gate (NOR-3) is up to 50%. The quaternary current states correspond to a double-binary bit array. By taking the conversion between binary and quaternary information as the encryption rule, multistate encrypted image and data can be obtained, which significantly enhances the difficulty of information decryption. Moreover, through cascading two, three, and four NOR-3 gates, gate voltage modulation is only required to implement a three-input XNOR gate, majority voter, and 4:1 multiplexer, respectively. This work provides a route to enhance the parallel freedom degree of data processing and protect information privacy.