AiQubit
Quantum Research

The next frontier of intelligence.

Active research into quantum-enhanced computational systems and architectures for emerging AI workloads.

— What we build

Engineered for production, not demos.

  • Hybrid classical-quantum models for optimization tasks.
  • Tensor-network inference for very large model regimes.
  • Variational circuits applied to learning problems.
  • Quantum-inspired methods running on classical accelerators.
— Capabilities

The full surface area.

01

Hybrid systems

Combining classical neural nets with quantum subroutines.

02

Optimization

QAOA and adiabatic methods for combinatorial problems.

03

Sampling

Quantum-inspired sampling for generative workloads.

04

Tensor networks

MPS, PEPS, and TT representations at scale.

05

Benchmarks

Honest reporting against strong classical baselines.

06

Open research

Selected work published in collaboration with academia.

Let's scope your system.

Book a 30-minute strategy call with our engineering team.

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