SYMULAT

SYMULAT platform for real-world STEM problems will attain 100x speedups in the near term in software alone and 1,000,000x within 5 years via complete hardware/software solution stack.

Implemented a feasibility demo focusing on quantum simulation. Signed 200K contract with Google to develop a drop-in replacement for qsim that would run at least 10x faster. Symulat retains IP rights; license given to Google covers internal use only (not for use by Google's customers).

Today, rapid application development and rapid execution are mutually exclusive. Even when implemented in a low-level language such as C, STEM applications struggle to get optimal performance due to slow memory - a von Neumann bottleneck.

A platform / sparse-matrix-oriented language for rapidly developing solutions to custom problems offering 100x faster speeds that the best commercial software. A pilot project to achieve this benchmarks for simulating quantum algorithms on classical computers.

Short-term view is focused on quantum simulation. Basic version will be free to users, paid by preferred quantum hardware vendor (to improve their customer acquisition). Enterprise version would compete against dedicated hardware simulators such as Atos QLM.
Longer-term view is a software (and, potentially, hardware) platform for developing and executing science and engineering applications with revenues derived from multiple sources, including a platform fee.
Early adopters would include F1 team and high-frequency traders, where speedups would confer competitive advantage.