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What is Quantum Computing? Here’s What You Need To Know.

When I was ten, I went with my family to watch the Marvel movie, Ant-Man. If you’ve never watched it before, it’s about a man who uses the laws of quantum physics to shrink down to the size of an ant. This movie was the first time I had ever heard of quantum anything and my brain went “…?”

10 year old me:

But still, I was on the edge of my seat. Because, quantum? Damn. That sounds cool.

Since then, I’ve done some research and I’ve gotten a pretty good grasp of the world of quantum mechanics.

However, before we try to understand anything quantum, we need to take a leaf from Richard Feynman’s book.

If you think you understand quantum mechanics, you don’t understand quantum mechanics.

-Richard Feynman

The laws of the quantum world don’t fit into the box of what we think reality is. So for the rest of this article, forget what you think you know and just think quantum.

But what actually is quantum computing?

(Besides a technology that allows a man to become the size of an ant).

Quantum computing harnesses the laws of quantum mechanics to process information. It takes advantage of subatomic particles’ ability to exist in more than one state at a time. The behavior of these tiny particles allows operations be done faster and more energy-efficient than classical computers. This can all happen because of quantum superposition.

Superposition

In classical computing, a bit is a piece of information that can be stored in one of two states — 1 or 0. Quantum computing, however, uses quantum bits or “qubits.” Each qubit can not only be set to 1 OR 0, but it can also be set to 1 AND 0. This doesn’t make intuitive sense but it’s one of the weird realities behind quantum mechanics.

Superposition is achieved by changing the spin of a particle. Think of a qubit as an electron in a magnetic field. The electron’s spin may either be in alignment with the field, which we call a spin-up state, or opposite to the field, which we call a spin-down state.

Using a pulse of energy such as from a laser — let’s say that we use 1 unit of laser energy, we can change the electron’s spin from one state to another.

But what if we only use half a unit of laser energy and completely isolate the particle from all external influences? By the laws of quantum mechanics, the qubit is now in a superposition of states.

With each qubit utilized taking the position of both 1 and 0, the number of computations that a quantum computer could undertake is 2^n, where n is the number of qubits used.

A computer with 500 qubits could do 2⁵⁰⁰ calculations in a SINGLE step. That’s more atoms than there are in the known universe. This is completely revolutionary as classical computers can still only do one step at a time.

But how do these qubits interact with each other? They are entangled.

Quantum Entanglement

In quantum physics, entangled particles remain connected so that actions performed on one affect the other, even when separated by great distances.

Entanglement occurs when a pair of particles, such as photons, interact physically. These particles retain a type of connection and can be entangled with each other in pairs, in a process known as correlation.

Knowing the spin state of one entangled particle — up or down — allows us to know that the spin of its partner is in the opposite direction. But that’s not even the coolest part!

The particle doesn’t even have a set state before it’s measured. Before we observe it, the particle is simultaneously in a spin-up and spin-down state at the same time. However, after measurement, the spin state must be decided into a typical state of 1 or 0.

At the moment of measurement, the spin state of the particle being measured is decided and communicated to the correlated particle, which simultaneously assumes the opposite spin direction to that of the measured particle.

The phenomenon even shook Albert Einstein so much that he called it “spooky action at a distance.”

There is no proven explanation for entanglement. The mechanism, while tested by many theories, doesn’t have evidence — we just have to take it as given. Hearing this, you’re probably just as annoyed as I was. But that’s just how “quantum” works. Einstein would tell you the same thing.

Me: Einstein, I need to see entanglement work

Einstein: Nope, you’re just gonna have to…

 

So, now we understand the fundamentals behind a quantum computer. What does this mean for our future?

The Future of Quantum Computing

Quantum computers aren’t EVER going to replace our regular ones. Your smartphone won’t run faster and your Siri won’t become smarter. We’re never going to use them to play chess, prove theorems, or schedule vacations. Trying to do these tasks with quantum computing is more hassle than it’s worth.

Your jaw probably just dropped ?.

Why the hell are we doing all of this?

Why would we spend billions across dozens of countries with tons of scientists for a computer that we don’t even need? But I promise there’s a reason.

Quantum computing isn’t meant to be a replacement for classical computing. It’s meant to do what classical computers can’t. A functioning quantum computer will be able to achieve two things that we’ll never be able to do with our current computers.

The first big application is cryptography. Cryptography is the process of encrypting data, or converting plain text into scrambled text so that only someone who has the right “key” can read it. Quantum cryptography, by extension, simply uses the principles of quantum mechanics to encrypt data and transmit it in a way that cannot be hacked.

The second application quantum computers would be good at is simulating other quantum systems. We would be able to run revolutionary simulations of biological systems, understand superconducting materials and figure out quantum chemistry. Not to mention understanding quantum physics itself.

When can I get one?

Yeah, I want one too. Unfortunately, we’re not getting quantum computers anytime soon. It is expected to take at least 20 years until quantum computers are useful enough to generate simulations and be used for cryptography.

D-Wave Systems, a Canadian quantum computing company, has released the 2000Q. Yet, the computer has a price tag of $15 million and a long way to go before a typical consumer will be able to afford it. And it’s a particular type of Quantum Computer – a quantum annealler… which some argue isn’t a real Quantum Computer anyway.

Quantum computers aren’t expected to be on the consumer market until 2050. That means that we can reach these health and security benefits in the next few decades.

_______________________________________

At this point, ten year old me’s brain has exploded.

The quantum properties of superposition and entanglement give us access to technologies with extreme benefits all across the board. This far out, we can’t even predict everything that we can do with a fully-functioning quantum computer. The next couple decades of development will be littered with discoveries and breakthroughs.

Even without the applications, quantum computing is a problem worth solving just for science. Think about it like flying to the moon. We’ve built incredible machines just to see if we can get there. From that standpoint, it seems worthwhile to uncover the incredible computational power lying beneath the surface of the universe.

There is so much more to quantum mechanics than shrinking someone down to ant-size and fighting bad guys. But maybe, just maybe, in our lifetimes, quantum computers will allow us to see Ant-Man come to life.

The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Jake Vikoren

Jake Vikoren

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Deep Prasad

Deep Prasad

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Araceli Venegas

Araceli Venegas

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Anisha Musti

Anisha is a guest writer for The Quantum Daily. She is a co-founder of Q-munity, an organization driven to spread quantum computing to everyone. Her main focus is using quantum computing and AI to make an impact.

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Jake Vikoren

Jake Vikoren

Company Speaker

Deep Prasad

Deep Prasad

Company Speaker

Araceli Venegas

Araceli Venegas

Company Speaker

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