Quantum computing is approaching a critical inflection point.

 While hardware performance continues to improve, system behaviour remains a limiting factor. As quantum systems scale, instability, error accumulation, and loss of control increasingly constrain usable performance. This creates a gap in the technology stack: There is no standardised control layer optimising system-level behaviour.


Our Solution

QuJiT is developing a patented energy-aware quantum control framework that introduces constraint-based control over system dynamics. Rather than optimising individual operations in isolation, the approach shapes how quantum states evolve over time, enabling:

  • Improved stability under repeated operations
  • Controlled excitation behaviour
  • More reliable execution at increasing system sizes

This represents a new layer in the quantum computing stack, positioned between hardware and algorithms.


Why It Matters

As quantum hardware scales, control becomes the limiting factor. QuJiT’s approach enables:

  • Better utilisation of existing quantum systems
  • Extended performance without hardware redesign
  • Increased reliability for real-world applications

This shifts the focus from building better machines to making current machines more usable.