What we do

Quantum Computing is an inevitability. It is the new frontier of information technology, intriguing and exciting, but also frightening in its staggering complexity, and alien to most IT professionals. We are here to help you navigate this strange new world.

With increased length of the number that needs to be factorized (X-axis length in number of digits ) the best classical algorithm shows an almost vertical ascent in required time complexity (logarithmic Y-axis), whereas Shor algorithms scales in a much more sustainable polynomial fashion.

The mission of our company is to offer unbiased assessment of the state of the nascent quantum computing industry, and of what it means to develop and deliver a Quantum Ready IT project, capable of taking advantage of quantum computing resources as soon as economically feasible.

If you are in the business of developing and delivering complex Big Data or AI applications, it will pay to keep tabs on this, because Quantum Computers (QC) can potentially deliver dramatic performance increases that go fundamentally beyond any scaling behaviour that can be achieved with classical machines.

For one such example, the following illustrates this for Shor’s Algorithm.

With an increase in the size of the number that needs to be factorized, classical machines literally hit a wall (represented by the green curve in the graph to the right), whereas quantum computers can be scaled up in a manageable fashion (red curve). Since factorizing is the underpinning for all strong commercially available cryptography, this result triggered a race to find post-quantum cryptographic cyphers, and prompted a massive influx of defence R&D spending into QC research.

Moore’s Law ist stalling out as CMSO transistor speed can no longer be increased.

But not all Quantum Computing machines are created equal. For instance, the first commercially available machines, produced by D-Wave, implement a specific adiabatic process called quantum annealing. Many optimization problems can be mapped onto the D-Wave chip, but there is no clear theoretical understanding, as with Shor’s algorithm, as to just how much speed-up we can expect from this design. However, we can say with certainty that D-Wave has managed to grow the performance of their chips much faster than conventional CMOS designs, which can no longer sustain Moore’s law (there is no more room at the bottom).

At artiste-qb.net, we have been analyzing and understanding the quantum computing landscape long before we founded the company. Dr. Robert Tucci has been working in the field for more than twenty years, and has six QC patents to his name, and Henning Dekant has been writing about the field as an industry observer since 2011, and buttresses his analysis with extensive industry and Big Data expertise.

We can help you make sense of what is on offer, and what QC capabilities to expect at what time scale. Most importantly, we can make sure that you will be ahead of the curve.

Our company creates and curates an Open Source analytics platform that allows data scientists to augment Python into a full-blown Quantum Computing toolbox, which will enable development from the first tentative programming steps to full blown Quantum Ready Corporate Critical systems.

You can spin up our product stack on Amazon AWS, or implement it in-house directly from our Github repository.

If you want to know what it takes to be Quantum Ready, and want to future proof your next large IT project, we would love to hear from you.

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