The shift from digital computing to quantum computing has been compared to the transition from fire to electric bulbs. With extensive advantages over the traditional computing methods, they are expected to revolutionise almost every field in terms of speed and accuracy. Let’s look at some of the most important applications of quantum computing.

Machine Learning

We don’t need to stress how artificial intelligence and machine learning has changed our lives for the better. Being one of the hottest fields to be working in right now, there have been significant increases in the applications due to the rise in chip capacity and processor power. Yet, as data availability is abundant and cheap, advancements in computational computation technology won’t keep up to the extent that it may take till the end of time to do some complex computation by the fastest computers in the world. 

Quantum computing can increase the speed manifold of computation and facilitate complex calculations in minutes. It is sure to change the field of finance and science as predictions and analyses can be made more accurately without room for error. 

Cybersecurity

Recent times have seen a significant increase in cyber-attacks around the globe, and privacy is a luxury most can’t afford in the digital age. Quantum computing can help us devise new techniques, methods and processes to make online space more secure. This has given rise to a particular branch called quantum cryptography. 

Financial Modelling

Computers have been used for decades to make intelligent decisions in the field of finance. Important financial models with a lot of data may take much valued time to arrive at a prediction. While handling money, it is imperative to be cautious and well informed of all the risks and analyse the data correctly. Quantum computing can help in financial modelling and algorithmic trading by reducing the time required drastically and with much more accuracy. 

If you dream about entrepreneurship and have an idea for a startup, it’s often exciting to go all-in, but that’s the reason why most of them fail. An excellent idea is not enough for a successful startup. There is a lot more to it, including business aspects, financial aspects and research of the field and the competitors. So, let’s look at some of the common mistakes to avoid for a successful startup.

• Lack of planning

As mentioned earlier, a person with an idea is not enough for a startup to run successfully. Make sure you take enough time to analyse every aspect of the business model and have a well-planned strategy for existing competitors. 

• Funding

This doesn’t apply if you are born into riches and can handle the operating expenses for several months on your own. But, that’s not the case for most people. To get off the ground and stay afloat, there will be a need for external funding and investors who are willing to invest in you and your business. These may include incubators, government fundings, venture capitalists, etc. 

There will also be a time where a startup has to push through to be profitable in the long term. But, in the meantime, you need to find someone or some source to cover operating and marketing expenses. 

• No knowledge of the legalities

This is a rookie mistake and has caused the downfall of many startups with great potential. A business model won’t be simple, and some areas must be addressed legally. You can’t afford to stop operations due to legal mistakes because that will affect your brand and sales. Make sure to have covered all the legal sides of your product/service before launch.

AI has been around for only a few decades but already has changed our lives irreversibly. In the automotive sector, the change is visible as more and more autonomous vehicles are launched into the streets. From design to testing, AI has been implemented in nearly every stage of many cars’ design, development, and production. 

There have been implementations of multiple sensors into cars, giving these manufacturers access to such data. Such data can be used, analysed and studied to derive new functionalities and solve existing problems in the vehicle. For example, the existing data can be taken from cars that have been in an accident, and the sensor data can be analysed to find the problem. Such data helps to make driving more secure and vehicles a lot safer. 

Autonomous cars are well-built with provisions for quick thinking under dangerous conditions and safety manoeuvres that can help save the lives of the passengers. Not only that, there are fully automated parking facilities available around the world. These digital valets can assist you in parking unassisted without human intervention. 

AI has helped create various new models as companies analyse online social media using text mining and sentiment analysis to find their target audience, connect to them, design according to their likings and market the product to them specifically. This also allows the company to personalise each component of the car according to the user’s wishes to appeal to the general public. 

Although there have been some fantastic strides in the field, it is far from perfect. Company conveyor belts haven’t been entirely digitised yet and still need human supervision. Our autonomous cars have nearly reached Type 2 autonomy, and there’s still a lot to go. We can indeed witness some fantastic developments in the coming years from the automotive developers.

Increased speed for data communication is not the only result of implementing 5G all over the world. With many countries adopting 5G faster than ever, there have been many kinds of speculations around the technology and its application. In short, 5G is about to revolutionise mobile communication and various fields of science and technology all at once. So, let’s break it down, starting from the basics.

Telecom operators have been extensively building nodes throughout cities to have better-paying customers in the early stage. 5G has been deployed in many countries with an idea in mind. It is to create a fast and has coverage enough to be able to perform a multitude of tasks apart from facilitating mobile communication. 

5G is expected to be extremely useful in these three areas. They are:

• Low latency communication
• Massive Machine Type Communication
• Enhanced Mobile Broadband

Once low latency communication is established, this will pave the way for advancement to many technologies in use today. Let’s take an example. Autonomous cars have reached a point where they see so much data that the processing power required for computation can be achieved only through dedicated computers at data centres. If low latency communication is established, there can be communication with hubs by each car to make informed decisions without having to analyse it themselves. 

Like traffic management, IoT can help machines automate daily vehicle congestion and pave the way for emergency vehicles. Not only that, there can be communication between cars to avoid accidents. 5G can also automate industrial processes with the help of low latency and reliable networks. 

There are also applications in AR and VR. Technicians and doctors can have long-distance communication with their clients and patients to advise through complicated procedures in real-time. Technicians can remotely see the overlay on the machine and see the faulty parts without being there physically.  The future is bright for 5G and is about to shine ever brighter.