Single-Gate In-Transistor Readout of Current Superposition and Collapse Utilizing Quantum Tunneling and Ferroelectric...

Area of Science:

• Nanoscience and Nanotechnology
• Condensed Matter Physics
• Electrical Engineering

Background:

• Microscopic electric circuits in nanostructure assemblies present challenges for standard circuit modeling due to complex network topologies.
• Current path superposition and intricate current flow hinder the analysis and application of these nanostructures in computing.
• Quantum circuit principles inspire novel approaches for decoding information from complex nanocircuits.

Purpose of the Study:

• To explore the implementation of current path collapse analogous to quantum state collapse for detecting microscopic circuits.
• To investigate the engineering of channel length and quantity in gate-all-around polysilicon nanosheet arrays to enrich transistor computational resources.
• To demonstrate a method for decoding output polymorphism through circuit topological modifications driven by ferroelectric polarization switching.

Main Methods:

• Demonstration of current path superposition and collapse in gate-all-around polysilicon nanosheet arrays.
• Utilizing ferroelectric polarization switching of Hf0.5Zr0.5O2 gate dielectric to drive transistors out-of-equilibrium.
• Engineering channel length and quantity to tailor channel coherence for single-electron readout of ferroelectric polarization.

Main Results:

• Successful demonstration of current path superposition and collapse in polysilicon nanosheet arrays.
• Output polymorphism decoded through circuit topological modifications induced by ferroelectric switching.
• Observation of metal-to-insulator transitions due to transient ferroelectric switching behavior.
• Development of a protocol for single-electron readout of ferroelectric polarization.

Conclusions:

• The study establishes a method to adjust current networks within transistors by manipulating ferroelectric polarization.
• This control over current networks in polycrystalline nanostructures generates diverse current characteristics.
• These characteristics serve as potential physical databases for optimization-based computing, paving the way for novel computational paradigms.