the quantum company

BOHR∞ (Bohr Technology Inc.) is a company that develops quantum machine learning algorithms and software for solving complex optimization problems across various industries such as transportation, automotive, energy, finance, insurance and manufacturing industry.

It brings together a group of leading quantum programming, quantum physics and AI/Machine Learning specialists to work on industry altering quantum optimization applications.

By 2020, current (super)computers will be overpowered by Quantum Computers. They will allow us to solve many currently unsolvable issues in the area of combinatorial optimization where even smaller-scale problems are inherently complex..

An effective solution to complex optimization problems will be hard to achieve through classical computation. This is because classical (super)computers are currently reaching the limits of how much more powerful they 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 speed-up in computing power and offer significant boost to current optimization techniques.

How complex can optimization be? Let's take a problem we all well know - traffic congestion.

If you imagine a traffic optimization scenario with 10 vehicles where each vehicle has 3 potential routes that we can chose from. That gives you 3¹⁰ (or ~60,000) total solutions to chose from. This is a rather simple problem to solve. However its larger instances are very quickly becoming very complex:

• with 20 vehicles and 3 routes: 3²⁰ = 3,4 Bn
• with 25 vehicles and 3 routes: 3²⁵ = 847 Bn
• with 30 vehicles and 3 routes: 3³⁰ = 205 Tn

• 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

Quantum Computers offer a lot of potential for optimising numerous processes many industries, such as:

• transportation: route planning, scheduling, fleet management
• cities: traffic flow optimization, city infrastructure optimization
• automotive: improving car GPS', simulating autonomous car algorithms
• manufacturing: optimizing factory workflow
• energy: predictive maintenance optimization
• finance: portfolio optimization
• aeronautics: aircraft design
• health: job allocation, health prediction