Google aims for commercial quantum computers before 2030

Google Quantum AI published an announcement on March 24 detailing the expansion of its research program into neutral atom quantum computing, a technology that uses individual atoms as processing units (qubits).

In the text, the company claims to be «increasingly convinced» that commercially relevant quantum computers based on superconducting technology They will be available before the end of this decade. It is the first time that Google has put such a specific time horizon on this objective.

The announcement was signed by Hartmut Neven, founder and leader of Google Quantum AI, who has been leading the development of superconducting qubits for more than a decade. Under his leadership, the team achieved milestones such as demonstrating performance beyond classical capabilities, quantum error correction, and verifiable quantum advantage with the Willow chip.

The reason behind the confidence in that time frame is concrete: Google has already solved two of the most difficult problems on the path to useful quantum computers:

• The first is to demonstrate that a quantum computer can outperform classical computers in specific tasks, which they achieved with their Sycamore chip in 2019.

• The second is error correction, a critical hurdle because qubits are inherently unstable and prone to failure. With Willow, Google demonstrated that it can detect and correct such errors without destroying quantum information in the process.

With these two problems overcome, the pending challenge is engineering: scaling the systems to tens of thousands of qubits while maintaining the quality of operation. It is precisely this advance that leads Google to establishfor the first time, a public deadline to have commercially relevant systems.

It is worth clarifying that when Google talks about «commercially relevant» computers, does not refer to equipment ready for the mass marketbut to systems capable of solving problems of real value for industries such as pharmaceuticals, computational chemistry or finance, tasks that today are beyond the reach of any classical computer.

Two technologies to get there faster

The decision to incorporate neutral atoms responds precisely to that challenge of scaleand this is where the strategy of betting on two simultaneous technologies makes sense. Superconducting qubits, which have been Google’s hallmark for years, can run very deep circuits with cycles as short as a microsecond. They are fast and Google has years of experience manufacturing them, but scaling their quantity to tens of thousands without losing quality remains a manufacturing and control challenge.

Neutral atoms work differently: Instead of circuits etched into silicon chips cooled to temperatures near absolute zero, they use lasers to trap and manipulate individual atoms in a vacuum. This allows them to scale the number of qubits more easily. —arrangements of about ten thousand have already been achieved—and have flexible connectivity that allows any qubit to interact with any other, which simplifies certain algorithms and error correction codes. Its disadvantage is speed: its cycles are measured in milliseconds, a thousand times slower than superconductors.

In practical terms, Google describes this difference by saying that superconducting qubits are easier to scale. in the dimension of time—calculation depth—while neutral atoms are easier to scale in the dimension of space, that is, in number of qubits. Having both technologies advancing in parallel means Google can attack the scale problem on two fronts, accelerating the overall timeline and offering platforms tailored to different types of business problems.

To lead the experimental work with neutral atoms, Google hired Dr. Adam Kaufman, a physicist at the University of Colorado at Boulder and a member of the JILA Institute. Kaufman will maintain his academic affiliation while leading the new hardware team in Boulder, Colorado, a region recognized as a global center for atomic and molecular physics. Google also works with QuEra, a company in its portfolio that has developed fundamental methods in computing with neutral atoms.

What this means for crypto

The breakthrough has direct implications for encryption protocols that protect transactions on cryptocurrency networks. Google’s own team has warned about how vulnerable current encryption is to advances in quantum computing.

The cryptography that protects bitcoin wallets and other cryptocurrencies is based on mathematical problems that would take classical computers thousands of years to solve. A sufficiently powerful quantum computer could do it in hours or minuteswhich makes the horizon before 2030 that Google mentions a concrete reference for the cryptocurrency ecosystem.

The industry has been discussing the migration to post-quantum cryptography for years, but most major networks have not yet implemented standards resistant to these types of attacks. Google’s advance does not represent an immediate threat, but it does shorten the time available for the ecosystem to make that transition.