The quantum computing investment theme is in its early stages, with AUM figures that are a fraction of those for AI or semiconductors. However, the emergence of publicly traded pure-play companies like IonQ and Quantinuum provides investors with new avenues for early-stage exposure to the technology's long-term potential.
The primary industry challenge is scaling current noisy, small-scale quantum computers into large, fault-tolerant machines. Key strategies discussed include networking multiple smaller systems to create a more powerful one and developing sophisticated error correction techniques to ensure reliable calculations.
There is no single winning approach to building a quantum computer. The field is exploring various modalities, including trapped ion (high fidelity, slow gates), superconducting (fast gates, more errors), and photonic (room temperature operation, difficult interaction), each with a unique set of technical challenges and advantages.
A powerful symbiotic relationship is emerging between AI and quantum. Companies like NVIDIA are leveraging AI to solve complex quantum problems like error correction, while future quantum computers could generate unique, high-precision datasets to train more powerful and specialized AI models for science and materials discovery.
Keep pulling the thread on Honeywell.