Interesting facts about quantum computer
Quantum computers are the devices that perform quantum computations. Quantum computation is a type of computing that harnesses the various collective properties regarding quantum states, including interference, superposition, calculations, and entanglement. Even though for practical applications, the current quantum computers are small enough to outperform the regular classical computers.
They are believed to have the capacity to solve specific computational problems faster than our usual computers, such as the integral factorizations which underlies the RSA encryptions. This study of quantum computation is considered the subfield of our quantum information science. In 1980, when Paul Benioff proposed the quantum mechanical model of a turning machine, the birth of quantum computation took place.
facts about quantum computers
The blazing speeds of quantum computations – in a quantum computer, the data can be stored in more than 0’s and 1’s state and can perform parallel calculations. And this ability to perform multiple tasks at a given period is known as quantum parallelism.
Redefinition of security – in the field of cryptography and encryption, the speed of quantum computers is a matter of severe concern. The financial security systems of today’s world are heavily based upon the factoring of large numbers consisting of DSA or RSA algorithms which conventional computers cannot crack even within the lifespan of the planet earth. But a quantum computer can factorize these numbers within a reasonable period and provides us with an unbreakable security feature that locks the crucial data with better encryptions.
The power efficiency – for any device that runs on electricity, their power consumption is one of the critical factors to take notes on. The quantum computers are known to be running on quantum tunnelling, and thus by a factor of 100 to 1000, they reduce their power consumption.
The problem-solving skills of a quantum computer – the classical algorithm can run too in the quantum computer. Still, for significant results, the algorithms then require inherently quantum or the quantum computation features, including quantum superposition and quantum entanglement, are run chiefly. In quantum algorithms, the problems are solved faster than the classical algorithms.
The use of systems to stimulate quantum mechanics – quantum simulators are considered the most important applications of quantum computing systems. The quantum simulators allow the analysis of quantum systems that are difficult to study in a laboratory and impossible to get modelled with supercomputers. These simulators are designed to provide insights for specific physics problems and can be developed by conventionally digital quantum programmable computers.
BB84- the world’s first quantum protocol – was developed by the IBM researchers Charles Bennette and Gillies Brassard in 1984. The BB84 is considered the world’s first-ever quantum key distribution protocol.
The reason behind the difficulty in building quantum computers – one of the most common problems that arise while building quantum computers is its stability. As the electrons of quantum mechanics usually behave like waves and are commonly known as the wave function, thus any interference during the process results in gibberish outputs.
The pattern of information storage – the quantum computers generally store their data either as 0’s or 1’s or as a quantum superposition containing both the two states. These types of quantum bits are known to have greater flexibility than standard binary systems used by classical computers for storing data.
Cool temperatures – for the quantum computers to work correctly, the atoms must be kept in a stable condition. The temperature that needs to be maintained for achieving harsh conditions is shallow. The temperatures are thus reduced to zero Kelvin.
The A.I game-changer – in the field of information processing, quantum computers can process around 300 bits, which can map the entire universe. Quantum mechanics is known to speed up machine learning operations exponentially, which reduces the time ranging from hundreds of thousands of years into a mere few seconds.
Not all things in quantum computations can be made fast – quantum computers are known to find the most optimal solutions to a problem. Still, their applications mostly rely upon the basic mathematical principles regularly used by classical computers. This computation usually refers to basic arithmetic principles already well-optimized in nature.
Some latest achievements in the world of quantum computing systems – in 2015, at the University of New South Wales, a team of scientists developed a quantum logic gate by using silicon. In the same year, a quantum computer made up of D- NASA revealed waves that account for up to $15 million. While in the year 2016, at the University of Maryland, the researchers successfully created the first reprogrammable quantum computing system.
The programming languages of quantum computing systems – in the year 2020, a team of researchers developed an easy-to-understand, high-level programming language called the “ sliq” for quantum computers. The sliq supports automatic, safe and uncomputation that enable intuitive semantics in quantum computing systems.
The data of a quantum computation – at the quantum state, the encoded data cannot be copied, and if we try to read through this data, then the quantum state will get changed. This feature identifies the eavesdropping in the quantum required distributions and provides us complete security.
Silicon transistors versus atoms – to achieve the highest possible computing speed, conventional computers heavily rely upon several transistors. Still, in the case of quantum computing systems, computers rely upon the subatomic and the atomic particles for their physical systems. As a medium of qubits, various microscopic particles, including photons, electrons and ions, have been used so far by scientists.
Quantum supremacy – quantum supremacy is generally defined as the number of qubits used beyond which the conventional supercomputers can’t deal against their quantum counterparts. Recent supercomputers can perform in a range of 20 qubits, but in the case of quantum comports, they serve from 50 qubits onwards, making them supreme from the classical supercomputers.
Quantum computers cannot replace classical computers – the mechanism of quantum computation systems are so complex that the general public cannot use them. These computers are specifically used for industrial applications and research purposes. Also, conventional computers perform better in specific simple tasks than quantum computers and hence do not stand a chance to replace regular classical computers.
There are various kinds of quantum computing systems, known as quantum computers, such as the quantum turing machine, one-way quantum computer, quantum circuit model, adiabatic quantum computer, and quantum cellular automata, which also come in various ranges. Out of all these types of quantum computations, the quantum circuit is the most widely used model and is typically based upon the quantum bit or known as the qubit, which has an analogous similarity to the bits of the usual classical computers. Quantum computers can solve any computational problem that a regular classical computer can solve.