What is Quantum Computing
Quantum Computing is the technology that uses the laws of quantum mechanics such as superposition, interference, and entanglement for computation or solving complex problems that are not possible for classical computers to solve. It benefits from solving some of our earth’s biggest problems in different fields such as climate, agriculture, energy, etc.
Quantum Computer: Quantum computer is a computer that uses quantum bits or qubits for computation, or quantum computers are those computers that perform quantum computation. Using the qubits, the quantum computer simulates the behavior of quantum particles present in nature that increases the ability and speed of the quantum computer. Quantum computers are a million times faster than classical ones, and they can simultaneously find different solutions to a problem.
They do not need to check if-else conditions to solve like binary computers. In quantum computers, the programs are intrinsically probabilistic, and in classical computers, they are deterministic. They can compute different solutions for a problem, so each result is associated with some probability amplitude after measuring the probability of each state. Quantum computers do not work at normal temperature; it requires very low temp to be functional.
Qubits or Quantum bits: The information in the classical computer is represented in either 0 or 1, known as bits, whereas; qubits are the fundamental object of information in Quantum Computers. The information gathered or observed by the quantum computer can be 0, 1, or both. Qubits have a value that is 0, 1, or a quantum superposition of 0 and 1.
Why are Quantum Computers Important?
When a classical computer fails to solve a complex problem, engineers and scientists shift to supercomputers, which are nothing but very large classical computers with thousands of CPU and GPU cores even though supercomputers are much faster than the classical ones and built to solve complex problems struggle to solve many complex problems.
Complex problems are those where a larger number of variables interact with each other in a complex way. A supercomputer fails to solve complex problems because of the high degree of complexity. Studying the behavior of small particles are one of the most complex problems we encounter.
Finding a sitting arrangement for ten Guests at the party when they do not want to sit next to one and a prime factor of larger numbers are some complex problems where a supercomputer fails. To find the solutions to such problems, a quantum computer becomes important.
Uses of Quantum Computers
The goals of a quantum computer are to compute a problem that requires calculations of many different combinations and to study the problems that can be solved by the quantum computer faster than the classical computer and how large the speedup can be. There are many such problems across different areas. Let’s study some of them:
- Quantum Simulation: Quantum simulation is a promising route to discover future technologies by helping us investigate or discover new materials with new physical properties. To study the behaviors of small particles or quantum mechanical systems, such as molecules, quantum computing is very promising because qubits can be used to represent all the natural states of the particles arising from this problem.
- Quantum Machine Learning: The area of quantum Machine Learning helps develop the quantum software that enables machine learning that runs faster than classical computers.
- Search Algorithms: A quantum search algorithm finds the value in fewer steps and less time than a classical search algorithm. It sped up the solution to unstructured data searches.
Working of Quantum Computers
Quantum Computers use the three phenomena from quantum mechanics, such as superposition, interference, and entanglement, those speedups the computations.
- Superposition: A quantum computer uses qubits as the fundamental object to store or represent data. Placing the quantum information, it holds into a superposition state, representing a combination of all possible configurations of the qubit. Groups of qubits in superposition create complex, multidimensional computational spaces. Complex problems are represented in new ways of these spaces.
- Entanglement: One of the abilities of the phenomena of quantum mechanics is to make two or more quantum systems entangled with each other. Entanglement is the quantum correlation between two or more quantum systems. When two qubits are entangled, changes in one qubit directly impact the other. Quantum algorithms exploit those relationships to find the solution to complex problems.
- Qubits with Probability: In classical computers, the state of the information is represented in bits, i.e., 0 and 1 but not both. Whereas, Qubits are used to represent the information in a quantum system that can be the superposition of two quantum states, 0 and 1. Each of the quantum states has some probability; one of the quantum states 0 and 1 is obtained with a certain probability depending on its probability after measuring.