Zuella Montemayor

Quantum AI: The Future of Computing?

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Zuella Montemayor, (2022, September 1). Quantum AI: The Future of Computing?. Psychreg on Organisational Psychology. https://www.psychreg.org/quantum-ai-future-computing/
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Quantum computing has been in the headlines over the past few years, making many people think of it as the next big thing in technology. However, the term itself can be misleading and confusing, so let’s clear things up a bit by exploring what quantum computing really means and how it will impact our world in the future.

Introduction to quantum mechanics

According to quantum mechanics, photons and electrons can behave as waves or particles depending on how they are observed. This is because quantum particles exist in all three spatial dimensions instead of the three normal spatial dimensions humans have come to know. Furthermore, a particle’s position in one dimension does not affect its position in other dimensions. 

Quantum computers exploit this behaviour by allowing quantum AI to exist simultaneously in multiple states. By adding more qubits, the computer increases exponentially and has theoretically limitless computational power compared to traditional binary computers.

A crash course in Quantum AI

Quantum AI work on a different operating principle than traditional digital computers. Whereas they’re based on sequences of instructions called code, quantum AI process information in states called qubits. This one fundamental difference provides quantum computers with the power to complete complex calculations exponentially faster than traditional digital-based ones. Indeed, some scientists believe that quantum computing could someday solve problems that even the most powerful supercomputers today cannot solve.

They are also not limited by the same constraints as traditional computers, allowing them to solve previously intractable issues. As a result, quantum computing is an excellent choice for powering artificial intelligence. The massive volumes of data handled by AI systems need massive computer capacity.

If you want to work in quantum computing, you should major in mathematics, physics, or another computer science area throughout your bachelor’s degree program. You can then specialize by earning a PhD or master’s degree in quantum science and engineering.

Advantages of Quantum AI

A quantum AI is capable of making many calculations simultaneously, which drastically reduces the time for solving mathematical problems. Since quantum computers are so new, they are still a long way from replacing classical computers in the marketplace. There are several advantages to using a quantum computer, and if you’re interested in stock trading, they might be the future investment vehicle. Unlike a digital computer that stores bits as zeros or ones in binary form (1s and 0s), a quantum computer uses particles called qubits that can be encoded in multiple ways, 1s and 0s being one possible configuration.

Look no further than the Qiskit YouTube channel and textbook for a fantastic location to begin studying anything quantum. The Qiskit channel discusses the foundations of quantum computing and how to implement them.

Potential risks of quantum computers

The looming presence of quantum computers is set to replace both classical computing and human intelligence, with repercussions far greater than any previous advancement in computing. This trend is beginning to see fruition today, with investors betting on Quantum AI stock or investment funds being created around this new phenomenon. Despite the potential benefits that come from being prepared for this event; though it’s tough to argue against it- we must not let our own biases blind us to some major downsides that come with advancements in quantum computing. Examples such as manipulation or the risk of data privacy are real threats that we will need to address in order to keep pace with the coming change that quantum computation will inevitably bring about.

They are also not limited by the same constraints as traditional computers, allowing them to solve previously intractable issues. As a result, quantum computing is an excellent choice for powering artificial intelligence. The massive volumes of data handled by AI systems need massive computer capacity.

Takeaway

What is Quantum AI, why does it matter, and how does it work? Well, quantum AI uses the principles of quantum mechanics to carry out the logic and arithmetic operations for data. Contrary to current-day computers, which use a binary bit system that can represent one of two states (1 or 0), quantum computers use qubits that can be in an arbitrary superposition of states. While traditional silicon chip processors run at clock speeds no higher than 1 gigahertz, due to physical limitations, they have reached the limits of processing power. 

All information processing systems are now limited by these sorts of laws, but quantum theory allows for what is known as quantum parallelism, which essentially enables multiple instructions to be executed simultaneously.


Zuella Montemayor did her degree in psychology at the University of Toronto. She is interested in mental health, wellness, and lifestyle.


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