Qutrit Encoding and Manipulation
Ternary weights mapped to qutrit basis states — quantum hardware running neural inference.
Explore the Vision
Discover this technology through five complementary perspectives — from technical architecture to partnership outcomes. Each layer reveals a different aspect of how this innovation creates value.
Ternary weights mapped to qutrit basis states — quantum hardware running neural inference.
What It IS
Technical VisionThe architectural essence — what makes this technology work
A quantum processor where each ternary neural network weight is encoded as a qutrit basis state: +1 maps to |0⟩, 0 maps to |1⟩, -1 maps to |2⟩. Neural network inference executing on quantum hardware through fixed non-parameterised gates. Quantum mechanics doing multiplication by not multiplying.
Abstract
Methods for encoding and manipulating qutrits (three-level quantum systems) to match classical ternary operations, bridging quantum and classical.
Visual Essence
A quantum processor where each ternary neural network weight is encoded as a qutrit basis state: +1 maps to |0⟩, 0 maps to |1⟩, -1 maps to |2⟩. Neural network inference executing on quantum hardware through fixed non-parameterised gates. Quantum mechanics doing multiplication by not multiplying.
Technology Domains
Related Patents
From the quantum-bridge visual family
Projection-Constrained Quantum Operations
Binary quantum algorithms running on ternary hardware — through projection constraint.
Inverse Recovery and Quantum State Restoration
Any binary-qubit system can be classified as a constrained projection of the ternary substrate.
Inaccessible Ternary Operations and Quantum Secrecy
Recovering the third state — upgrading binary-qubit systems to full ternary capability.
Hybrid Quantum-Classical Ternary Protocols
The mathematics of ternary information capacity — formalising what three states can hold.