Hardware Solutions Enabling More Efficient Quantum AI

Efficient quantum artificial intelligence (AI) benefits from fast data transfer between the high-performance computer and the quantum computer. Today's quantum computers have bottlenecks in both software pre- and post-processing as well as in hardware inefficiencies in data transfer to and from the quantum processing unit. Novel disruptive hardware solutions are required for the development of more efficient quantum AI, especially as quantum computers scale up to larger qubit counts. Possible solutions to the hardware challenge for superconducting quantum computers include optical control of superconducting qubits, cryogenic control electronics, and solid-state coolers. To accelerate hybrid processing further, part of the pre-processing in the quantum computer stack can be moved to the classical supercomputer.