MagiQware, a Netherlands-based startup, has raised €575,000 in pre-seed funding from Graduate Ventures, Delft Enterprises B.V., and LUMO Labs. The company develops AI-driven software targeting one of fault-tolerant quantum computing's biggest bottlenecks: magic state factories, which produce specialized quantum resources needed for error-corrected operations. Using reinforcement learning, MagiQware optimizes these factories dynamically within the quantum compiler stack, reporting up to a 40% reduction in circuit length in early results. The funding will support further development of software that reduces the resource overhead of quantum error correction, potentially making commercially viable quantum applications more practical.

3m read timeFrom thequantuminsider.com
Post cover image
Table of contents
Targeting a Key BottleneckAI-Driven OptimizationLeadership Team
30 Impressions