Technologies

Quantum technology

As compute demands outpace traditional architectures, quantum is emerging as the next frontier. We bridge quantum from research to deployable systems with scalable semiconductor technologies, advanced manufacturing and system-level integration.

Advancing quantum from theory to reality

Shifting quantum from experimental devices to deployable systems requires reliable, scalable platforms and a clear path to manufacturing. We enable this transition with a manufacturing-led approach that brings together cryogenic electronics, foundational technology to enable quantum processor units, advanced packaging and heterogeneous integration to support quantum scale-up.

  • Quantum-optimized semiconductor platforms

    Enabling platforms that operate at cryogenic temperatures leveraging our breadth of technology expertise across RF, power, silicon photonics, CMOS

  • Foundational technology for QPUs

    With specialized processes translating novel materials, device architectures and qubit designs into repeatable flows for quantum processor unit (QPU) production

  • Modality-agnostic approach

    Enablement compatible with all modalities – ranging superconducting, trapped ion, photonic, topological and spin-based qubit approaches, supporting customization as architectures evolve

Take the quantum leap with GF

Contact us to explore co-development opportunities and bring your next quantum innovation to reality.

How quantum is positioned to enable the next frontier of computation

As computational demands grow, industries are facing challenges that require fundamentally new approaches. From simulating complex systems and optimizing large-scale operations to advancing machine learning and securing data, quantum computing introduces new and necessary solution pathways for evolving computational problem types.

  • Quantum system simulation

    Accurately simulate quantum systems and complex physical interactions beyond classical computational limits

  • Optimization

    Solve large-scale routing and decision problems with greater speed and solution accuracy

  • Machine learning

    Principal component analysis to accelerate data processing, pattern recognition and model optimization for complex datasets

  • Cryptography

    Address complex factorization challenges to enable next-generation secure computation

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