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find out more about quantum computing, quantum machine learning and the technology we use to work on global optimization

Performing advanced logistics optimisations requires huge amounts of computing power which can be offered by Quantum Computers.

In order to allow clients to take advantage of quantum computing power we develop algorithms dedicated to optimisation in the logistics industry.

We combine classical software with quantum algorithms to solve complex optimisation problems. Our goal is to achieve an easy integration with the client’s internal framework on one end and with quantum computing hardware on the other - thus simplifying the access to a quantum computer.

We build on existing quantum algorithms and develop our own proprietary ones to offer clients the most powerful computational methods.

**Quantum optimization**We are currently reaching the limits for creating ever more powerful (super)computers. This happens for several reasons:

- supercomputers consume huge amounts of
**energy**& take up a lot of**space** **Moore's Law**- we are reaching the limits of the number of transistors we can place on a circuit, given that those transistors**cannot become**any more**smaller****Amdahl's Law**- an infinite increase in the number of processors does not lead to an increase in power

As a result, many unsolvable problems will remained unsolved on classic computers:

**molecule simulation**is limited because of the huge number of existing interactions among atoms and electrons – making new drug discovery difficult**weather predictions**are inaccurate since current models have too many variables for a classic computer to process**optimization problems**in finance, logistics or medicine require huge computational power

The solution to this problem lies in

**Quantum Computers**:- computers that aren't based on transistors
- computers that use principles of quantum mechanics (such as
**superposition**and**entanglement**) to perform**operations on data** - computers that do not encode data in bits which can only be in one of two states (0 or 1) but rather use
**quantum bits**(**qubits**) which can be in a**superposition of states**(0 or 1 or anything in-between)

Those computers will help us solve the most complex and complicated problems in the world, in the following areas:

- Machine Learning (clustering, scenario analysis, AI)
- optimisation (logistics, energy)
- simulations (chemistry, fertizilers, medical)
- cryptography (cybersecurity, random number generation)

- supercomputers consume huge amounts of

*Project approved in the Horizon 2020 Programme under Grant Agreement N ^{o}731343.*

BOHR.

TECHNOLOGY

sp. z o.o.

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