Google (GOOGL) (GOOG) says it has made progress in quantum computing this week. The company’s research group used a new method called the “quantum echoes” algorithm to show that its quantum systems can solve certain science problems about 30% faster than classical computers. The team applied this to predict how simple molecules form and then confirmed the results using nuclear magnetic resonance testing. This marks a move from theory to a tool that could one day support industries such as medicine and materials. However, calls for caution over the grand claims have already surfaced.
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The new algorithm helps reduce some of the random noise that makes quantum computers unstable. By reversing part of the process during a test, the system keeps its state longer and produces more stable results. Google’s researchers used this feature to study small organic molecules, including toluene, and matched their predictions to physical data. Although progress is early, the results point to a path toward using quantum tools for chemical design, where speed and accuracy can matter for drug research and new materials.
Surprisingly, GOOGL shares rose a modest 0.49% on Tuesday, closing at $251.69. The low-key trend is continuing in pre-market, increasing 0.22% at the time of writing.
Cautious Views from Other Experts
Outside researchers welcomed the advance but advised caution in calling it a full quantum advantage. Dries Sels from New York University said that the “burden of proof should be high.” He explained that showing a clear lead over all possible classical algorithms remains difficult. James Whitfield from Dartmouth College added that it is still “a bit of a stretch” to see how the work could lead to an immediate economic benefit.
For now, the method only works on molecules that classical computers can already study. Tom O’Brien from Google’s quantum lab said that moving to larger systems will need hardware that can handle less noise or include better correction. As these upgrades improve, the same idea could one day apply to harder scientific problems that are beyond today’s limits.
Google’s new results suggest slow but steady movement toward real-world quantum use. The work shows how research may connect to practical science and, later on, to industries that depend on complex modeling. Investors will watch for signs that such advances can lead to faster, more cost-effective solutions in chemistry, energy, and data science over time.
Is Google a Good Stock to Buy?
Google still holds the backing of the Street’s analysts, with a Strong Buy consensus rating. The average GOOGL stock price target stands at $261.53, implying a 3.91% upside from the current price.
