The study of quantum theory has led to huge advancements over the past century. That’s especially true over the past decade. Scientists at leading tech companies have started to figure out how to harness the power of quantum mechanics to make a new generation of super quantum computers. And they’re infinitely faster and more powerful than even today’s fastest supercomputers.
Today’s computers are built on top of the laws of classical mechanics. That is, they store information on what are called bits, which can store data binarily as either “1” or “0.”
But what if you could turn those classical bits into quantum bits – qubits – to leverage superpositioning to be both “1” and “0” stores at once?
Further, what if you could leverage entanglement and have all multi-state qubits work together to solve computationally taxing problems?
Theoretically, you’d create a machine with so much computational power that it would make today’s most advanced supercomputers seem ancient.
That’s not hyperbole. That’s a real number.
Imagine the possibilities behind a new set of quantum computers 158 million times faster than even today’s fastest computers…
Improving AI Technology
The biggest limitation to AI today is the robustness of machine learning algorithms, which are constrained by supercomputing capacity. Expand that capacity, and you get infinitely improved machine learning algos and smarter AI.
We could eradicate disease.
We already have tools like gene editing. But its effectiveness relies of the robustness of the underlying computing capacity to identify, target, insert, cut, and repair genes. Insert quantum computing capacity, and all that happens without error in seconds — allowing us to fix anything about anyone.
We can only improve batteries if we can test them. And we can only test them in the real world so much. Therefore, the key to unlocking a million-mile battery is through simulation. And the quickness and effectiveness of simulations rest upon the robustness of underlying computing capacity. Make that capacity 158 million times bigger, and cellular simulation will happen 158 million times faster.
The economic opportunities here are truly endless.
We’re amid a global energy crisis defined by soaring fuel prices. As a result, we’re all paying high-dollar to fill our cars with gas. And it’s hurting everyone.
Of course, the ultimate “fix” is for everyone to buy electric vehicles. But EVs are technologically limited today. On average, they max out at about 250 miles of driving range. And they’re also pretty expensive.
Quantum computing could change that. And through material simulation and battery optimization modeling, it’d also dramatically reduce the costs of EV manufacturing.
In other words, with the help of quantum computing, we could be just years away from $15,000 EVs that can drive up to 1,000 miles on a single charge.
Auto makers like Hyundai (HYMTF) and Volkswagen (VWAGY) are already using quantum computers to make next-gen high-performance, low-cost EVs. These are EVs that actually drive as far as your gas car — and cost less than it, too!
And those are the vehicles that will change the world, not today’s $70,000 Teslas or $100,000-plus Lucid (LCID) cars. The EVs that will change the world will drive 1,000-plus miles and cost less than $15,000.
Quantum computing is the key to making those EVs.
Quantum computing isn’t a science-fiction project that will help the world in 10 years. It’s a breakthrough technology that can help solve the world’s problems today!
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