A new transformational tool to accelerate development of practical quantum computers — Introducing Rubicon V by Bleximo Corp.

The processor and its control software are co-designed and optimized for a specific algorithm to cut execution time by orders of magnitude
Focusing on requirements for individual applications results in configurations with fewer components, lowering capital and operational expenses and increasing reliability
Co-designed hardware and software are much harder to reverse engineer than algorithmic software alone; therefore, owners of such systems gain significant first-mover advantage
Resource reallocation and optimization problems with multiple inputs, modalities, and variables
Simulation of difficult-to-predict systems, conditions, and consequences: weather, cell mutations, aerodynamics, etc.
Predicting and preventing situations based on a large, diverse dataset.
We provide a range of unique and performant solutions – from quantum algorithms to hybrid and quantum-inspired offerings – to solve your hard computational problems
We offer everything from individual components to turn-key systems for boosting the performance of your superconducting chips and optimizing their R&D cycle
We will work with you to analyze and improve the environment within which your chips operate
We facilitate the joint development of custom end-to-end solutions for your computational challenges
Juan Ignacio Adame
Senior Quantum Application Engineer
Denis Chevallier
Research Scientist
Gerardo Jaramillo
Microfabrication Lead
Xiaoyue Jin
Research Scientist
Ziggy Q Kotchetkov
Research Engineer
Alexei Marchenkov
Founder & CEO
Anastasia Marchenkova
Research Scientist
Richard Maydra
Co-Founder & Director of Cryogenic Engineering
Konstantin Nesterov
Research Scientist
Chiara Pelletti
Director of Hardware Engineering
Yu “Randy” Shee
Research Engineer
Jack Tooley
Research Engineer