Quantum computers, once full-scale, could go into many directions – medicine, finance, architecture, logistics.
First, it’s important to understand why ocean computers are better than the standard ones we’ve been using for years:
In conventional electronic devices, memory consists of bits with only one value, either 0 or 1. In quantum computing, a qubit piece displays both values at different levels at the same time. time. This is called quantum superposition. These ubiquitous states of each qubit are then used in complex calculations, which read as constant beats: 0 and 1.
Because qubits can store more information than regular chunks, this also means that quantum computers are able to process more information. With four beats enabling 16 abilities, but only one at a time. Four qubits in quantum superposition, however, allow you to work out all 16 states at once. This equates to four qubits equating to 65,500 regular hits. Every qubit added to the quantum computing system suddenly increases its power.
To put things in perspective, a supercomputer can currently achieve as much as a five to 20-qubit computer, but it is estimated that a 50-qubit quantum computer will be able to solve computing problems that a machine cannot any other norm in any possible sum of the time.
This “quantum sovereignty” has been achieved many times to date. It is important to note that this does not mean that the quantum computer can beat a traditional one in all actions – instead, it shines only in a limited set of designed tasks. specifically to explain its strengths. Also, a quantum computer has to overcome many obstacles before it can be a mainstream device.
But once it does, its computing power will boost science and businesses that will benefit from it.
Major companies working in ocean computing in their businesses include AT&T T,
Google Alphabet GOOG Real Estate Company,
GOOGL,
IBM IBM,
and Microsoft MSFT,
Here are some businesses that could benefit the most:
Quantum Chemistry
Quantum chemistry, also known as molecular quantum mechanics, is a branch of chemistry that aims to apply quantum mechanics to chemical systems. Here, quantum computers help in making molecular models, paying attention to all of their quantum states – a function that is outside the power of conventional computing.
That, in turn, helps us to understand their properties, which are extremely useful for researching new products and medicines.
Quantum Cryptography
Quantum encryption, also known as quantum encryption, uses the principles of quantum mechanics to help encrypt and protect encrypted data from being compromised. Using a specific behavior of subatomic grains, it allows reliable detection of tampering or eavesdropping (via the Quantum Key Distribution method).
Quantum encryption is also used for secure encryption key transfer, which is based on a login principle. Both methods are currently available, but because of their complexity and price, only governments and institutions that handle sensitive data (especially in China and the US) can get the opportunity at the moment. seo.
Quantum Finance
Quantum finance is an interdisciplinary field of research that uses theories and approaches developed by quantum physics and economists to solve financial problems. This mainly involves complex calculations, such as prices of various financial instruments and other computerized financial problems.
Some scientists argue that quantum pricing models provide more precision than classical ones because they can point to market inefficiencies, which is disrespectful to classical models.
Quantitative computing also develops analysis of large and unstructured datasets, which develops decisions across a variety of domains – from better time bidding to risk assessment. Many of these numbers require a quantum computer with thousands of angles to solve, but as things have been going on lately, it is not impractical to see quantum computers arrive. this processing capacity in a few years, rather than decades.
Quantum artificial intelligence
While still in the field of conceptual study, the principles of quantum mechanics will help quantum computers achieve significantly greater speeds and efficiencies than are currently possible on classical computers when deploying action of AI algorithms – this goes specifically for machine learning.
Weather forecast
Conventional computer models used in weather forecasting use dynamic variables, from air temperature, pressure and density to historical data and other factors that go into modeling. climate prediction. Due to the limited processing power available, classical computers and even conventional supercomputers are the bottles that limit the speed and efficiency of predictive computation.
To predict extreme weather events and limit loss of life and property, we need faster and more robust forecasting models. By harnessing the power of qubits, quantum computing is able to deliver the raw processing power until that happens. In addition, machine learning provided by the quantum AI can also predict these models.
Despite its rapid progress, quantum computing is still in its infancy, but it is clearly a game changer, capable of solving previously inevitable problems for computers. classic.
This power will bring most of the benefits not only to science and medicine, but also to businesses and industries where rapid processing of big data is paramount.
As a marketing expert, I see a huge benefit to my business, but there is no doubt that others, especially finance and cryptography, will find a quantum boost to their decision-making processes and the quality of their final product very beneficial.
The real question is who will be the first to use this power and use quantum computing as part of their unique value proposition and competitive advantage? The race is on.