Quantum

At the intersection of quantum mechanics and machine intelligence, we explore computation paradigms that transcend classical limits — error correction, hybrid quantum-classical architectures, and simulation at quantum scale.

Practical quantum advantage for real-world problems — not theoretical demonstrations, but computational capabilities that change what's possible.

Error Rate Reduction

Qubit Overhead Saved

Shot Reduction

Quantum Backends

Focus Areas

Error Correction

Neural decoders running on FPGA accelerators that predict and correct quantum errors faster than traditional methods.

Molecular Simulation

Combining Odyssey's reasoning with quantum backends to simulate chemistry beyond classical limits.

Quantum-Native Architectures

Neural networks designed from the ground up for quantum hardware — not classical models with quantum layers bolted on.

Hybrid Systems

Orchestration frameworks that distribute computation between classical and quantum processors based on problem structure.

Publications

2026-03-08

Quantum Error Correction with Classical Intelligence

Hybrid architectures that use frontier AI to manage quantum error correction in real time.

Webbeon Quantum Team

2026-02-15

Simulating Molecular Systems Beyond Classical Limits

Combining Oracle Class R's reasoning with quantum backends to simulate molecular chemistry at unprecedented scale.

Webbeon Quantum Team

2026-01-20

The Case for Quantum-Native Neural Architectures

Why hardware-aware model design matters — and how we're building neural networks that think in qubits.

Webbeon Quantum Team