Quantum computing is often described as a way to solve esoteric problems that can not be tried with conventional computers. But that’s not how Airbus thinks of the technology.

The company recently started the Airbus Quantum Computing Challenge, a global initiative aimed at bringing expert QCs seeking technology to help solve aviation physics problems being used in aerospace applications.

The challenge is open to individuals or research teams – post-graduate, PhD, academic, researcher, beginner, and other professionals in the field – with proven experience in quantum computing.

Airbus has positioned five areas of focus for competition:

computational fluid dynamics, partial differential equations, aircraft climbing proficiency, wing box design, and aircraft loading. At present, this field is dealt with with traditional engineering approaches, which depend on HPC. All of these are important to the company’s aerospace businesses and their ability to differentiate their products from competition.

The goal here does not seem to save money at high performance computing expenses. (The company only uses about 3 percent of the IT budget at HPC.)

On the contrary, Airbus seems to be interested in the potential of quantum computing to provide better results than simulated and modeling abrasive power, and can control the size of the problem is greater than we are can think of both with a digital computer.

This is not the first Airbus to use this technology.

In 2015, the company set up a quantum computing unit at its facility in Newport, United Kingdom. A year later, Airbus invested in QC Ware, the beginning of quantum computing software that wants to bring technology to enterprise users.

Airbus has also used one of the D-Wave 2000-qubit engines on projects investigating the use of quantum annealing for error analysis (FTA). In the aerospace industry, FTA is a method for determining complex system failures caused by a combination of sub-system failures.

It is usually used during aircraft feasibility and certification.

Because the FTA is a kind of NP-hard problem, it’s a good candidate for quantum computing.This project involves the translation of FTA software into a form that will work on quantum quantum performance and benchmark performance against commercial SAT solvers.

What they find is that the QC performance is not related to the size of the problem and can be used together with the classical SAT solution to reduce production time by factor four.

More importantly

it helps to convince Airbus to continue exploring quantum computing for high-performance computing use cases.

The new spirit gained by Airbus for quantum computing is reflected in their prediction that QC technology will “forever change how the aircraft is built and flown.” And this is where the company’s new quantum computing challenges enter.

As mentioned, one of the main focuses is the liquid computing dynamics (CFDs), the classic HPC applications and the critical design elements of aircraft design.

In particular, CFDs are used to determine aerodynamic behavior, the ultimate goal is to reduce drag and increase fuel efficiency. In this case, the challenge is to find an algorithm that quantum computing can solve this problem faster and larger than conventional training or, alternatively, used in conjunction with one.

The area close to the partial differential equation is another aerodynamic element. The challenge in this case is more detailed in Airbus who are interested in implementing using in-depth learning techniques through a quantum computing approach.

The Airbus Challenge for aircraft climber efficiency is driven by increased short-haul flights, where transport and landing segments are more important than longer flights.

The goal is to reduce the time and cost of fuel during early climbing, using quantum computing to provide optimal cost / benefit.

The wing box design challenge lies around balancing the weight and integrity of the wider wing structure. It takes into account several elements – aircraft loads, mass modeling, and structural analysis – which must be calculated at the same time.

It not only makes the process take time, but also exposed to the estimates in question. Airbus thinks quantum computing will allow engineers to explore a wider design space to achieve optimum design.

The fifth challenge is to improve the ability of the aircraft. Like everyone else, it needs to balance


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