New quantum computer smashes 'quantum supremacy' record by a factor of 100 — and it consumes 30,000 times less power - think of how many AI anime titties we could generate

New quantum computer smashes 'quantum supremacy' record by a factor of 100 — and it consumes 30,000 times less power​

The 56-qubit H2-1 computer has broken the previous record in the 'quantum supremacy' benchmark first set by Google in 2019.​

By Keumars Afifi-Sabet published [July 11th, 2024]

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Scientists acheived an XMB score of 0.35, which means the H2 quantum computer can produce results without producing an error 35% of the time (Image credit: credit Quantinuum)

A new quantum computer has broken a world record in "quantum supremacy," topping the performance of benchmarking set by Google's Sycamore machine by 100-fold.

Using the new 56-qubit H2-1 computer, scientists at quantum computing company Quantinuum ran various experiments to benchmark the machine's performance levels and the quality of the qubits used. They published their results June 4 in a study uploaded to the preprint database arXiv. The study has not been peer-reviewed yet.

To demonstrate the potential of the quantum computer, the scientists at Quantinuum used a well-known algorithm to measure how noisy, or error-prone, qubits were.

Quantum computers can perform calculations in parallel thanks to the laws of quantum mechanics and entanglement between qubits, meaning the fates of different qubits can instantly change each other. Classical computers, by contrast, can work only in sequence.

Adding more qubits to a system also scales up the power of a machine exponentially; scientists predict that quantum computers will one day perform complex calculations in seconds that a classical supercomputer would have taken thousands of years to solve.

The point where quantum computers overtake classical ones is known as "quantum supremacy," but achieving this milestone in a practical way would need a quantum computer with millions of qubits. The largest machine today has only about 1,000 qubits.

The reason we would need so many qubits for "quantum supremacy" is that they are inherently prone to error, so many would be needed to correct those errors. That's why many researchers are now focusing on building more reliable qubits, rather than simply adding more qubits to machines.

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When quantum computers overtake classical ones is known as "quantum supremacy," but achieving this milestone would need a quantum computer with millions of qubits. (Image credit: credit Quantinuum)

The team tested the fidelity of H2-1's output using what's known as the linear cross entropy benchmark (XEB). XEB spits out results between 0 (none of the output is error-free) and 1 (completely error-free), Quantinuum representatives said in a statement.

Scientists at Google first tested the company's Sycamore quantum computer using XEB in 2019, demonstrating that it could complete a calculation in 200 seconds that would have taken the most powerful supercomputer at the time 10,000 years to finish. They registered an XEB result of approximately 0.002 with the 53 superconducting qubits built into Sycamore.

But in the new study, Quantinuum scientists — in partnership with JPMorgan, Caltech and Argonne National Laboratory — achieved an XEB score of approximately 0.35. This means the H2 quantum computer can produce results without producing an error 35% of the time.

"We are entirely focused on the path to universal fault tolerant quantum computers," Ilyas Khan, chief product officer at Quantinuum and founder of Cambridge Quantum Computing, said in the statement. "This objective has not changed, but what has changed in the past few months is clear evidence of the advances that have been made possible due to the work and the investment that has been made over many, many years."

Quantinuum previously collaborated with Microsoft to demonstrate "logical qubits" that had an error rate 800 times lower than physical qubits.

In the study, published in April, scientists demonstrated they could run experiments with the logical qubits with an error rate of just 1 in 100,000 — which is much stronger than the 1-in-100 error rate of physical qubits, Microsoft representatives said.

"These results show that whilst the full benefits of fault tolerant quantum computers have not changed in nature, they may be reachable earlier than was originally expected," added Khan.
 
So is a ternary computer being developed of more interest to a regular person?

I just found out about that the other day, they're apparently working on making ternary computers for the development of real AI not these stupid LLM things and I've been wondering about that vs this stuff.
Yeah, that could be interesting depending on how it goes. Moving away from binary logic is a possible feature of moving toward 2d or few layer transistors. Stuff like bandgaps get really wonky when you look at really tiny materials.
 
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I’m probably retarded but I’ve been hearing about quantum computing breaking asymmetric encryption for like two decades now. Thing is, ultimately it comes down to factoring very very large numbers and encryption strength is based on very very large prime numbers. Both of those things are hard to compute. And it’s more expensive to factor than to find the next highest prime number.

But if quantum computing makes factoring easier, won’t it make finding even larger primes easier? So…. I’m not a math phd but also not shitting myself over this.
 
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