Is it dead of Data Science and Rise of Quantum Computing | A Quantum Roadmap

Likhitha Bommineni
3 min readOct 5, 2021
IBM Quantum Computer

What is Quantum Computing?

Quantum computing is a type of computation that harnesses the collective properties of quantum states, such as superposition, interference, and entanglement, to perform calculations.

This technology can solve real-world problems with high efficiency. The devices which perform quantum computations are known as Quantum Computers. They can create vast multidimensional spaces in which to represent these immense problems. Classical supercomputers cannot do this.

Algorithms that employ quantum wave interference are used to find solutions in this space and translate them into forms we can use and understand. One promising quantum algorithm that uses these techniques is called Grover's search. Suppose you need to find one item from a list of N items. On a classical computer, you'd have to check N/2 items on average, and in the worst case, you would need to check all N.

Using Grover's search on a quantum computer, you would find the item after checking roughly √N of them. This efficiency represents a remarkable increase in processing efficiency and time saved.

Why is it related to Data Science?

The Data Science domain is an ocean. By inculcating Machine Learning in Quantum computing in writing algorithms and application development, this will be the leading technology in the coming future. We have many data Scientists now but fewer quantum developers. The situation was the same as a decade ago when there was a boom in the Java developer role, but demand decreased after a few years. With the ongoing progress in quantum computing, we may see the sudden need for quantum developers in the coming years.

IBM's Quantum Hardware Roadmap.

IBM has been a pioneering giant in the quantum industry. It has been developing a qubits(quantum bits) quantum processor for the Quantum Computer.

Qubits are the quantum mechanical term of classic bit. N classical computing, the information is encoded in bits, where each bit can have the value zero or one. In quantum computing, the data is encoded in qubits. The current quantum processor consists of 127 qubits.

The next step in quantum development is to embed qubit processors in the developer ecosystem. The community of developers like kernel developers will contribute to Advanced Operating systems or Runtimes. Next set of developers, like Algorithm developers to built pre-built packages, modules, functions, etc. Last group of developers, Model Developers where they will be building applications with quantum integrated technology.

There is a massive chance for developers to contribute to the field of quantum. There are many free resources available to kickstart your journey in This field. Word of advice: Those planning to do an MS in Data Science can also have other options of Quantum Computing since there is a lot of demand for this futuristic technology.

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Likhitha Bommineni

I'm an aspiring Web3 Developer passionate about Solidity and NFTs.