Google wants to rule quantum computing with Bristlecone chip

Google is gunning for the quantum computing crown, unveils its new Bristlecone chip with 72 qubits.

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Google has just unveiled its new Bristlecone chip, a new quantum processor that takes things to the next level. Google has made Bristlecone for researchers with a testbed for "for research into system error rates and scalability of our qubit technology, as well as applications in quantum simulation, optimization, and machine learning".

Google wants to rule quantum computing with Bristlecone chip |

Quantum computers normally run at super-cold temperatures in the millikelvins, and are protected from the environment because quantum bits are very unstable, with errors occurring if there's any noise. The qubits in new quantum processors aren't individual qubits, but they are a collective of bits that work together to stop possible errors. Right now, quantum processors are limited to preserving their state for less than 100ms.

Google is taking a different approach to building their future in quantum processors with Bristlecone, with the new chip featuring 72 qubits - and considering the industry says that it will take 49 qubits to be the leader, Google is doing it differently. The company has said that it's not just about brute qubit numbers, but as "Operating a device such as Bristlecone at low system error requires harmony between a full stack of technology ranging from software and control electronics to the processor itself. Getting this right requires careful systems engineering over several iterations".


Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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