Frequently Asked Questions
What is PComputing?
PComputing refers to probabilistic computing. Decisionmaking, econometrics, risk management, chip design, drug design, business analytics, and machine learning are not deterministic. Why should our processors be all deterministic?
How is PComputing different?
The majority of today’s digital circuitry is based on building blocks called bits that are deterministically 0 or 1. At the other end of the spectrum are quantum computers consisting of qubits that occupy some superposition of 0 and 1. The probabilisticbit occupies a niche between these extremes, sharing qualities with both classical and quantumbit. The pbit fluctuates probabilistically between 0 and 1 and can be pinned to one or the other state based on the magnitude and sign of its input.
Why PComputing?

Time: PComputing can speed up timeintensive computations by several orders of magnitude improvement over CPUs and GPUs.

Power consumption: The speedup neither increases the cost nor the consumed power. If there were a way for CPUs and GPUs to be as fast as PComputing, it would cost significantly more and consume a lot more energy.
Where is the proof?
We have solved and presented solutions for multiple timeintensive problems, which sped up 100X over GPUs and CPUs on even an emulated PComputer. We are happy to engage and speed up any relevant and crucial timeintensive computation of interest to you if you are interested.
Can I use a PComputer today?
Yes. We can speed up computation today on an emulated PComputer. We can get even more significant speedups with an ASIC version of the PComputer.