Quantum computers

Hamish Johnston interviews Yonatan Cohen, co-founder and chief technology officer of Quantum Machines, about control systems linking quantum computers to classical computation. Topics include the increasing importance of hybrid control as qubit counts grow, support for superconducting circuits, trapped ions, neutral atoms, spins and nitrogen-vacancy centers, industry collaborations and careers in quantum technology.

Shayan Majidy examines how AI can help build and use quantum computers. Algorithm-specific error-correcting codes offer substantial improvements for targeted tasks, with machine learning, SAT methods and tensor networks extending code design. The talk also presents an experimentally realised universal fault-tolerant gate set and the use of learning to optimise its bottlenecks, then considers future integration of large quantum processors and AI for scientific computation.

This lecture introduces decoherence through simple models of quantum systems exposed to environmental disturbances. It explains how electric or magnetic noise degrades superposition, how the effect is measured and how it can be reduced. The discussion relates these issues to the DiVincenzo requirements for quantum computers and compares major experimental platforms.

Marianne Bathen discusses how quantum computers differ from conventional machines and the challenges of building useful devices. Conversation in Norwegian.