Contemporary computing architectures face a convergence of fundamental physical limitations: the memory wall, thermal dissipation ceilings, electromagnetic crosstalk in dense interconnects, and the semantic poverty of binary-byte primitives. This paper proposes the QuantumChar Photonic Architecture (QCPA), a unified theoretical framework addressing these limitations through high-density multidimensional symbols encoding 1,000 bits as native computational atoms, photonic interconnects on graphene substrates, all-optical switching via photonic crystal bandgap engineering, and laser-induced molecular cooling. The synthesis of these currently isolated research frontiers could yield orders-of-magnitude improvements in energy efficiency — with direct implications for sustainable large-scale AI infrastructure.
Elizeu Almeida Prudente (Mon,) studied this question.