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    quantum transportation

  • about

    BOHR∞ (BOHR.TECHNOLOGY) is a company that works on quantum machine learning algorithms and software for the mobility and transportation industry.

     

    BOHR∞ was launched in September 2017 with the goal of mixing classical AI and state-of-the-art quantum algorithms to enable the use of Quantum Computers for solving complex optimisation problems in the mobility industry.

     

    It brings together a group of leading quantum programming, quantum physics and AI/Machine Learning specialists to work on industry altering quantum optimisation applications for logistics, automotive, railway and airline clients.

    changing the future of mobility

    In the next years, current (super)computers will be overpowered by Quantum Computers. They will allow us to solve many currently unsolvable issues in the area of optimisation where even smaller-scale problems are inherently complex. Quantum Computers will also allow us to take advantage of huge amounts of data that we are gathering at an ever increasing rate.

     

    The future of transport is mobility and mobility will depend heavily on the world’s ability to solve complex optimisation problems in real-time. This need will increase in the upcoming years with the rise of connected/autonomous/shared/electric vehicles; smart infrastructure/sensors; and V2V/V2I/V2X communication. The level of interconnection and the amount of data coming from those innovations means that the future of mobility will be very different from what we see today. It will offer us new opportunities – such as eliminating entirely traffic congestion; but also come with new challenges – such as how to steer a fleet of 1 000 000 autonomous cars?

     

    An effective solution to such problems will rely on our ability to solve complex optimisation problems that find meaning in all the data we will gather. Doing so with a classical (super)computer won’t be possible as we are currently reaching the limits of how much more powerful those computers can become.

     

    The answer lies in Quantum Computers – a new breed of computers relying on qubits instead of bits; atoms instead of transistors; and quantum mechanics instead of computer science.

     

    Quantum Computers come with the promise of offering exponential computing power and in the next 5 years they will start replacing classic computers for the purpose of solving optimisation problems.

    solving the unsolvable

    Optimising deliveries on a 15-city route has over 40 milion possible combinations.

     

    For instance, the number of possible routes in the Travelling Salesman Problem is equal to [(n-1)!/2] where n is the number of cities. So if the travelling salesman has 12 cities to travel to, the number of possible combinations will be:

     

    (12-1)!/2 = (11 x 10 x 9 x 8 x 7 x 6 x 5 x 4 x 3 x 2 x 1)/2 = 19 958 400 routes.

     

    With 15 cities, the number of possible routes is over 43 million.

     

    Optimising traffic lights & traffic flow in a city like Warsaw in Poland (which has approx. 2m inhabitants) has 120800 combinations.

    taking advantage of unused data

    With connected & autonomous cars, intelligent infrastructure and billions of sensors in cities, cars, ships, trucks, containers and on our roads we are gathering an unprecedented amount of data. This amount is rapidly increasing and offers a huge potential to optimise processes in the wide logistics industry.

     

    However most of that data is currently unused because current computing power is unable to process it fast enough.

    Quantum Computing power

    Quantum Computers process information with qubits instead of bits. This allows them to offer unprecedented computing power for solving optimisation problems:
    • information in n qubits = information in 2n bits
    • computing power doubles with every qubit
    • with just 60 qubits a Quantum Computer can deliver more power than any other current computer

    potential applications

    Quantum Computers offer a lot of potential for optimising numerous processes in the logistics industry, such as:

    • route planning
    • scheduling
    • mission planning
    • traffic flow optimisation
    • city infrastructure optimisation
    • improving car GPS'
    • simulating autonomous car algorithms
    • fleet management

    and can offer billions in saved costs for the following companies:

    • automakers
    • airlines
    • logistics providers
    • shipping companies
    • railroad companies
    • post offices
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