Explained: What the hell is a Quantum Computer

Quantum computing has the potential to revolutionize many industries, including drug discovery, financial modeling, artificial intelligence, materials science, and cryptography. However, it is still in its early stages of development and there are many challenges that need to be overcome before it can be widely used.

Introduction

Quantum computing is a type of computing that uses the principles of quantum mechanics to solve problems that are intractable on classical computers. Quantum computers use quantum bits, or qubits, as their basic unit of information.

Qubits can be in a superposition of states, meaning that they can be both 0 and 1 at the same time. This allows quantum computers to perform calculations that would be impossible for classical computers.

Quantum Vs Classical Computers:

Imagine you have a big bookshelf filled with books, and you want to find a specific book. In classical computing, it’s like looking for the book one shelf at a time, starting from the left and checking each bookshelf until you find the right book.

Now, picture a quantum computer as if it had the magical ability to check all the bookshelves at once! It’s as if you had a bunch of invisible bookworms that could look through the entire bookshelf in an instant and tell you exactly which book you’re looking for.

Read more: Why everyone is talking about Artificial Intelligence: Workings, future & Risks

How does Quantum Computer do it

At the heart of a quantum computer are qubits, which are the quantum counterpart of classical bits. However, qubits have unique properties that allow them to represent and process information in a fundamentally different manner.

Going back to the example of Bookshelf, Imagine you have a regular bookshelf with a row of books, each facing either with their spine to the left (0) or to the right (1).

To search for a specific book, a classical computer would start at one end of the shelf and check each bookshelf one by one until it finds the book.

Let’s see how a quantum computer approaches this using the magical properties of qubits:

Superposition: Imagine that each bookshelf represents a qubit. In classical computing, you would check each bookshelf separately. In quantum computing, however, qubits can exist in a superposition of states, like books facing both left and right at the same time.

This means that a quantum computer can simultaneously “check” multiple bookshelves for the book you’re looking for.

Entanglement: As the quantum computer explores the bookshelves (qubits), they become entangled. This entanglement is like having invisible threads connecting the books on different shelves.

When you interact with one book (measure one qubit), the information about the other books (qubits) becomes instantly known, thanks to entanglement.

Quantum Operations: Now, let’s say you want to find a book with a specific pattern on its cover. Quantum gates, similar to magical spells, allow the qubits to change their orientations in precise ways.

This is like the quantum computer using its magical powers to rearrange the books on the shelves to reveal the pattern you’re looking for.

Measurement: Finally, when you want to know where the book is, you open the door to the library and observe the bookshelves. As you do this, the qubits “collapse” from their superposition states into definite orientations (0 or 1).

The magic of quantum measurement reveals the exact positions of the books you’re interested in.

Applications

Quantum computing holds the potential to revolutionize a wide range of industries and fields due to its unique computational capabilities. While the technology is still in its early stages, there are several promising applications that could have a significant impact on real life:

Cryptography and Security: Quantum computers could break some of the cryptographic codes that currently secure online communications and transactions.

However, they could also be used to develop new, quantum-resistant encryption methods, ensuring the security of digital information.

Drug Discovery: Quantum computers can simulate and analyze complex molecular interactions, leading to faster drug discovery and development.

This could potentially revolutionize pharmaceutical research by speeding up the process of identifying promising drug candidates.

Optimization Problems: Many real-world problems involve finding the best solution from a vast number of possibilities, such as optimizing supply chains, transportation routes, or financial portfolios.

Quantum computers excel at solving these types of optimization problems.

Material Science: Quantum computers can simulate the behavior of molecules and materials at the quantum level, helping researchers design new materials with specific properties, such as superconductors or advanced catalysts.

Artificial Intelligence and Machine Learning: Quantum computing has the potential to accelerate certain machine learning algorithms, leading to more powerful AI systems capable of analyzing large datasets and making more accurate predictions.

Limitations

The need for extremely low temperatures: Quantum computers need to be kept at very cold temperatures, typically around 0.015 degrees Kelvin, in order to maintain their quantum states. This makes them difficult to build and operate.

The difficulty of creating and controlling qubits: Qubits are very fragile and easily affected by environmental noise. This makes it difficult to create and control qubits with the desired properties.

The lack of practical applications: There are currently few practical applications for quantum computing. This is because quantum computers are still too small and noisy to solve real-world problems.

Despite these challenges, quantum computing is a rapidly developing field with a lot of potential. As the technology continues to improve, we can expect to see quantum computers being used to solve some of the world’s most challenging problems.

Kumar Priyadarshi
Kumar Priyadarshi

Kumar Joined IISER Pune after qualifying IIT-JEE in 2012. In his 5th year, he travelled to Singapore for his master’s thesis which yielded a Research Paper in ACS Nano. Kumar Joined Global Foundries as a process Engineer in Singapore working at 40 nm Process node. Working as a scientist at IIT Bombay as Senior Scientist, Kumar Led the team which built India’s 1st Memory Chip with Semiconductor Lab (SCL).

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