Alphabet Inc. Class C (GOOGL.US) Makes Major Quantum Computing Breakthrough! Error Rate in Key Step Reduced by About 40 Times, a Step Closer to Practical Application
Google, owned by Alphabet, said it has demonstrated a new technique that can reduce the error rate in a key step of quantum computing by about 40 times, marking progress toward building machines powerful and reliable enough to solve problems beyond the reach of classical computers.
Alphabet (GOOGL.US)'s Alphabet Inc. Class C said it has demonstrated a new technique that can reduce the error rate in a key step of quantum computing by about 40 times, marking progress toward building machines powerful and reliable enough to solve problems beyond the reach of conventional computers.
Researchers Emma Rosenfeld and Craig Gidney said in an Alphabet Inc. Class C Quantum AI blog post that results published Oct. 15 in the scientific journal Science show a process called "magic state cultivation" can run on Alphabet Inc. Class C's Willow quantum processor. The technique achieved a record 99.99% accuracy in preparing the specialized quantum states needed to perform certain advanced computations.
The advance addresses a major obstacle to commercial quantum computing: the enormous amount of hardware required to prevent errors. Quantum computers use qubits, which represent and process information in ways ordinary computer bits cannot. But qubits are extremely sensitive to interference, and reliable computation is difficult without extensive error correction.
Why "Magic States" Matter
One particularly expensive part of error correction involves preparing so-called "magic states." These are specially prepared quantum states that enable certain operations required for a fully functional quantum computer. Unlike conventional computing resources, magic states are consumed when used and must be continuously replenished.
Alphabet Inc. Class C said some earlier estimates suggested that preparing these states could consume as much as 95% of a quantum computer's processing power, leaving only a small fraction for useful computation. Reducing that burden could allow future quantum computers to be significantly smaller and cheaper to operate.
Alphabet Inc. Class C's cultivation technique addresses the problem by starting with an imperfect quantum state and repeatedly checking it for errors. Attempts that fail the checks are discarded, allowing the system to produce far more reliable states. On Alphabet Inc. Class C's Willow processor, the method reduced errors by about 40 times compared with uncultivated states.
Engineering Challenges and Breakthroughs
The research also required Alphabet Inc. Class C to overcome problems in how quantum errors are measured. The team found that electrical fluctuations and temperature changes distorted its testing methods, producing results that initially appeared inconsistent with established physics. The researchers then modified hardware controls and developed a new way to measure the accuracy of their technique.
A further achievement was transferring the improved quantum states between two different error-correction systemscolor codes and surface codes. These are alternative approaches to protecting quantum information from errors. Demonstrating that the states can survive the transfer suggests the cultivation technique could eventually be integrated into larger quantum computing systems.
For Alphabet investors, the findings represent progress in overcoming the technical and economic barriers to commercial quantum computing. More efficient error correction could ultimately reduce the number of physical qubits needed to perform useful computations, potentially lowering the cost and complexity of building commercially viable machines. Quantum computers could eventually be applied in materials science, chemistry and other fields involving computations that are extremely difficult for conventional computers.
However, the results do not mean Alphabet Inc. Class C has developed a commercially practical quantum computer. The company acknowledges that the technique still needs to be validated at larger scales, and significant engineering challenges remain. The 40-fold improvement applies specifically to the preparation of magic states, not to the overall performance or error rate of the entire processor.
The research reinforces Alphabet Inc. Class C's position in the race to develop fault-tolerant quantum computingmachines capable of performing long, complex computations despite errors in the underlying hardware.
While the achievement could eventually improve the economics of quantum computing, Alphabet Inc. Class C has not provided a commercialization timeline or quantified any potential revenue impact. For investors, its immediate significance lies in the technical progress rather than any contribution to Alphabet's near-term earnings.
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