Five Quantum Computing Architectures Compete for $50B AI Market as Hardware Standards Remain Unsettled
Quantum computing hardware splits across five incompatible architectures—superconducting qubits, ion traps, photonics, topological qubits, and neutral atoms—with no clear winner for AI integration. IBM's 1,121-qubit superconducting system leads in scale but requires extreme cooling, while photonic systems cut infrastructure costs 90% at room temperature. Industry consolidation expected by 2028-2030 once error-corrected systems prove advantages.
ViaNews Editorial Team•