According to reports, Google’s AI Quantum Group has achieved something that many thought could only be science fiction -accomplishing “quantum supremacy”. Being able to reach levels of speed and accuracy that other machines, and their makers, could never fathom. If this has truly been achieved like it is being claimed, it is indeed a technological milestone and would change the way the world in ways that we cannot yet fully imagine.
It all started when a NASA lab/Google Partner accidentally posted an online report that Google physicists had managed what is unattainable using the world's current supercomputers. Even though it seemed the milestone of quantum supremacy had been accomplished the create was still not a full-fledged quantum computer.
While both the tweet and the paper were subsequently taken down, screenshots and copies are, of course, still available and moving in various channels of the internet. Unsurprisingly, neither party has responded to any and all questions regarding the claims, sending the whole world into a frenzy of questions and theories and begging the fundamental question whether quantum computing really has been achieved.
While that is still – and will seemingly remain up in the air for some time, let’s know what quantum computing technology really is and why it is the biggest thing ever to happen in the world of science and technology.
The general belief among the scientific community is that at least 49 qubits are necessary to enter into the realm of quantum supremacy. The notable factor, here, is that qubits function in a way that is very diverse from the “classical” computer’s bits. In case of bits, they exist either as a “1” or a “0.” Computers, therefore, read and work on a single bit during a particular period of time. Qubits, on the other hand, can show combination of “1” and “0” because of peculiar quantum effects where properties such as momentum, particle position, and direction, aren’t solidly defined. A system based on this principle, can therefore solve in multiple states at the same moment – a phenomenon known as quantum indeterminacy.
In simpler terms, quantum computers can read and process “1s” and a “0s” during the same span of time, allowing for faster and better processing of information and allowing the system to act on processed information in real time. This, of course, will speed up the computing process exponentially and allow for speeds much faster than that of the current “classical computers.”
That being said, the leaked NASA paper reveals that Google actually used a different – and a 53-Qubit (albeit originally a 54-Qubit) processor called Sycamore to make its demonstrations. The first step of the demo involved a classical computer being used as a ‘simulator’ to generate quantum instructions known as ‘quantum gates,’ the quantum counterparts of the logic gates utilized in classical computers. These were then sent to the quantum computer that would perform exclusively on qubits in pure zero states, and finally made to output samples from the probability distribution obtained from performing on the qubits. This was later cross-checked by running the same operation through the classical computer’s format in order to compare and contrast results. Quite expectedly, Sycamore did take a considerably less amount of time and did not cross the error threshold.
The question that arose here was that if a classical computer could in fact do the same operation, could scientists not tweak them instead of moving to a whole new principle altogether? Not according to Google’s scientist, who clearly published in their research paper that it would take the world’s most advanced computer at least 10,000 years for a computer working on the classic principle to achieve what a quantum computer would do in 200 Seconds – clearly an unmatched competition.
Now, when Google did manage to bring a success case from its 53-Qubit, it would only be a matter of time till it would achieve a similar level of success with its 73-Qubit as well. But the question is – has that already been done? Until Google does come out with it in the open, we can only call it a likely possibility. Right now, it is of course undeniable that Google is indeed leading the pack with its findings, and that its experiment with the Sycamore has made a breakthrough when it comes to computing.
It all started when a NASA lab/Google Partner accidentally posted an online report that Google physicists had managed what is unattainable using the world's current supercomputers. Even though it seemed the milestone of quantum supremacy had been accomplished the create was still not a full-fledged quantum computer.
While both the tweet and the paper were subsequently taken down, screenshots and copies are, of course, still available and moving in various channels of the internet. Unsurprisingly, neither party has responded to any and all questions regarding the claims, sending the whole world into a frenzy of questions and theories and begging the fundamental question whether quantum computing really has been achieved.
While that is still – and will seemingly remain up in the air for some time, let’s know what quantum computing technology really is and why it is the biggest thing ever to happen in the world of science and technology.
What is Quantum Computing?
Essentially, quantum computing is a level of speed and efficiency of computing that even the best and fastest computer right now cannot work at. A breakthrough like none other, computers using this technology will be able to solve the most complex of problems (that could take years or even decades) and solve them in a much shorter span of time.
In simpler terms, quantum computers can read and process “1s” and a “0s” during the same span of time, allowing for faster and better processing of information and allowing the system to act on processed information in real time. This, of course, will speed up the computing process exponentially and allow for speeds much faster than that of the current “classical computers.”
What is Google’s Contribution?
Truth be told, we can never say what is what until we get an official confirmation from the tech giant itself. What we do know, however, is that Google has been the leader when it comes to computing hardware and proved it’s leadership again recently when it unveiled its 73-Qubit processor that put competitor IBM’s 53-Qubit in second place.That being said, the leaked NASA paper reveals that Google actually used a different – and a 53-Qubit (albeit originally a 54-Qubit) processor called Sycamore to make its demonstrations. The first step of the demo involved a classical computer being used as a ‘simulator’ to generate quantum instructions known as ‘quantum gates,’ the quantum counterparts of the logic gates utilized in classical computers. These were then sent to the quantum computer that would perform exclusively on qubits in pure zero states, and finally made to output samples from the probability distribution obtained from performing on the qubits. This was later cross-checked by running the same operation through the classical computer’s format in order to compare and contrast results. Quite expectedly, Sycamore did take a considerably less amount of time and did not cross the error threshold.
The question that arose here was that if a classical computer could in fact do the same operation, could scientists not tweak them instead of moving to a whole new principle altogether? Not according to Google’s scientist, who clearly published in their research paper that it would take the world’s most advanced computer at least 10,000 years for a computer working on the classic principle to achieve what a quantum computer would do in 200 Seconds – clearly an unmatched competition.
Now, when Google did manage to bring a success case from its 53-Qubit, it would only be a matter of time till it would achieve a similar level of success with its 73-Qubit as well. But the question is – has that already been done? Until Google does come out with it in the open, we can only call it a likely possibility. Right now, it is of course undeniable that Google is indeed leading the pack with its findings, and that its experiment with the Sycamore has made a breakthrough when it comes to computing.
