FOR over half a century, the digital world has been propelled by Moore’s Law, the principle that the density of transistors on a microchip would double approximately every two years. That engine of progress as it is now sputtering, and in 10 to 15 years, will cease to exist. The silicon age is coming to an end and the era of quantum computing will begin.”
“We are now almost at the end of the transistor density,” Sergey Lozhkin, head of Kaspersky’s Global Research and Analysis Team (GReAT). “This is both exciting and worrying. Quantum computing is the next cyber frontier.”
Quantum computing is not merely a more powerful classical computer; it operates on an entirely different set of principles. A classical computer uses bits (0 or 1), while a quantum computer uses qubits. A qubit “could be both zero and one at the same time” in a state of superposition. This, combined with entanglement, grants quantum computers an almost unimaginable processing advantage for certain types of problems.
The technology remains in its infancy, largely existing in laboratory settings. There are working examples everywhere but these machines require massive amounts of space and enormous amounts of energy as well as super cooling to be able to achieve the computing power it was designed for. The key challenge lies in scaling.
That scaling seems to have been discovered by a Chinese startup called SpinQ which has released a 121-lbs desktop quantum computer for around $50,000. This computer does not run with a familiar operating system and doesn’t have any general purpose use. It is meant to provide a hands-on platform for learning and demonstrating basic quantum computing concepts, such as superposition, entanglement, and quantum algorithms, in a classroom or laboratory setting.
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As Lozhkin explained, “the end of the transistor density,” is a matter of fundamental physics, as transistor sizes now approach the atomic scale, making further miniaturization profoundly challenging. This physical barrier is compounded by two other critical limitations: thermal ceilings, when processors run “super hot;” and performance plateaus when processor clock speeds have leveled off, at around the 3 to 5 GHz for the better part of a decade.
This bottleneck is what quantum computing promises to tear down.
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Even with devices like the SpinQ, Lozhkin says that to become a true a commercially usable quantum computer will need “thousands of logical, millions of physical qubits.” Today’s best machines have only hundreds. The Spinq, only 2 quibits. He estimates this timeline is “theoretically within 10-15 years,” but adds a crucial caveat: “Who knows what can happen with the help of AI? Maybe we will get something in five years or even less.”
First, threat actors are already harvesting encrypted data today, knowing that once quantum capabilities advance, they will be able to decrypt it. This tactic could expose sensitive information years after it was transmitted.
Second is quantum computing can compromise the encryption methods that protect data globally. This is driven by Shor’s Algorithm, which is frighteningly efficient at factoring large numbers. A sufficiently powerful quantum computer could break 2048-bit RSA in minutes, a task that would take a classical supercomputer millions of years.
Finally, blockchain currencies like Bitcoin rely on the Elliptic Curve Digital Signature Algorithm (ECDSA), which is vulnerable to quantum attacks. An attacker could potentially derive a private key from a public one, allowing them to drain a cryptocurrency wallet.
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“The quantum transition is a marathon, not a sprint,” Lozhkin emphasized. “And the world needs to get ready for it.”
