We build proprietary foundation models that improve performance and scalability across the quantum stack, from the control layer up to algorithms and applications.
Fig. 01 — QFM covers the control and device layers; QFM+ extends the foundation upward into algorithms and applications.
Quantum computing faces a scaling problem. As devices grow, noise, drift, calibration burden, and control overhead grow with them. These constraints reduce throughput, consume valuable machine time, and make it harder to maintain performance and scale.
FirstQFM's patent-pending technology is a foundation-model approach for quantum computing. Quantum computing systems need models that understand structure, behavior, and constraints, rather than narrow models trained for one task. The context provided by a foundation model creates a stronger basis for improving performance across the quantum stack, just as it has elsewhere in applied machine learning.
FirstQFM started close to the machine-level, working on bottlenecks that directly shape how quantum systems perform in practice. Limitations at the system-level carry upward through the stack. More useful quantum computing depends on stronger performance at the foundation.
Our QFM foundation-model core begins at the control layer and extends upward through the stack to compilation and optimization. QFM+ builds on this foundation to support stronger performance at the algorithms and applications layers.
Better-performing, more scalable quantum systems enable useful applications. FirstQFM envisions its foundation models as a critical part of the quantum stack that enable functioning hardware and practical applications of quantum computing.
QFM
QFM is our patent-pending foundation-model technology for quantum computing. It embeds structure at the level of devices, modalities, and related problem settings to improve quantum system performance. We're starting with superconducting qubits, ion traps, neutral atoms, and photonics.
QFM+
QFM+ extends the foundation into higher layers of the stack, including algorithms and applications, where stronger quantum system performance can support more useful capabilities.