Close Menu
  • Tech Insights
  • Laptops
  • Mobiles
  • Gaming
  • Apps
  • Money
  • Latest in Tech
Facebook X (Twitter) Instagram
Facebook X (Twitter) Instagram
TechzLab – Tech News, Gadgets, Mobile & IT UpdatesTechzLab – Tech News, Gadgets, Mobile & IT Updates
  • Tech Insights
  • Laptops
  • Mobiles
  • Gaming
  • Apps
  • Money
  • Latest in Tech
TechzLab – Tech News, Gadgets, Mobile & IT UpdatesTechzLab – Tech News, Gadgets, Mobile & IT Updates
Home » Google’s 67-Qubit Sycamore Quantum Computer Could Beat Top Supercomputers: Study
Latest in Tech

Google’s 67-Qubit Sycamore Quantum Computer Could Beat Top Supercomputers: Study

adminBy adminOctober 14, 2024No Comments2 Mins Read
Facebook Twitter Pinterest LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email

Recent advancements in quantum computing have revealed that Google’s 67-qubit Sycamore processor can outperform the fastest classical supercomputers. This breakthrough, detailed in a study published in Nature on October 9, 2024, indicates a new phase in quantum computation known as the “weak noise phase.”

Understanding the Weak Noise Phase

The research, spearheaded by Alexis Morvan at Google Quantum AI, demonstrates how quantum processors can enter this stable computationally complex phase. During this phase, the Sycamore chip is capable of executing calculations that exceed the performance capabilities of traditional supercomputers. According to Google representatives, this discovery represents a significant step towards real-world applications for quantum technology that cannot be replicated by classical computers.

The Role of Qubits in Quantum Computing

Quantum computers leverage qubits, which harness the principles of quantum mechanics to perform calculations in parallel. This contrasts sharply with classical computing, where bits process information sequentially. The exponential power of qubits allows quantum machines to solve problems in seconds that would take classical computers thousands of years. However, qubits are highly sensitive to interference, leading to a higher failure rate; for instance, around 1 in 100 qubits may fail, compared to an incredibly low failure rate of 1 in a billion billion bits in classical systems.

Overcoming Challenges: Noise and Error Correction

Despite the potential, quantum computing faces significant challenges, primarily the noise that affects qubit performance. To achieve “quantum supremacy,” effective error correction methods are necessary, especially as the number of qubits increases, as per a LiveScience report. Currently, the largest quantum machines have around 1,000 qubits, and scaling up presents complex technical hurdles.

The Experiment: Random Circuit Sampling

In the recent experiment, Google researchers employed a technique called random circuit sampling (RCS) to evaluate the performance of a two-dimensional grid of superconducting qubits. RCS serves as a benchmark to compare the capabilities of quantum computers against classical supercomputers and is regarded as one of the most challenging benchmarks in quantum computing.

The findings indicated that by manipulating noise levels and controlling quantum correlations, the researchers could transition qubits into the “weak noise phase.” In this state, the computations became sufficiently complex, demonstrating that the Sycamore chip could outperform classical systems.

 

Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
admin
  • Website

Related Posts

OpenAI Finally Launched GPT-5. Here’s Everything You Need to Know

August 7, 2025

NYT Strands hints and answers for Thursday, August 7 (game #522)

August 6, 2025

Dark Matter Theories Suggest Hidden Mirror World and Origins at the Edge of the Universe

August 5, 2025

Comments are closed.

Latest
  • Battlefield 6 Bugs, Crashes, And All Other Known Issues For The Open Beta August 7, 2025
  • Motorola Adds Microsoft’s Copilot Vision to Moto AI Suite; Copilot App to Be Preinstalled on Upcoming Devices August 7, 2025
  • Microsoft’s Gaming Copilot AI is now in Windows 11’s Game Bar – and I can’t decide whether this is a good or bad thing August 7, 2025
  • 4 regions you didn’t know already had age verification laws – and how they’re enforced August 7, 2025
  • OpenAI Finally Launched GPT-5. Here’s Everything You Need to Know August 7, 2025
We are social
  • Facebook
  • Twitter
  • Pinterest
  • Instagram
  • YouTube
  • Vimeo

Subscribe to Updates

Get the latest creative news from Techzlab.

Tags
a16z crypto Aetherflux AI Apple artificial intelligence baiju bhatt ChatGPT Chris Olsen crypto scams cybersecurity data centers defense tech Digitalis Ventures doge Donald Trump Drive Capital Elon Musk evergreens EVs Exclusive Gallant Google Grok Hugging Face humanoid robot Huspy In Brief Meta Microsoft Openai Part Perplexity Pinterest Proptech robotics slate auto social media SpaceX Spotify TechCrunch All Stage TechCrunch All Stage 2025 Tesla Trump Administration UAE Xai
Archives
Quick Link
  • Apps (272)
  • From the Editor (3)
  • Gaming (271)
  • Laptops (272)
  • Latest in Tech (272)
  • Mobiles (273)
  • Money (96)
  • Tech Insights (272)
Don't miss

Greenland’s Melting Glaciers Feed Ocean Life, Study Finds

August 7, 2025

Google’s Pixel Phones Get August 2025 Update With Fixes for Navigation Bug, Security Flaws

August 6, 2025

OpenAI Just Released Its First Open-Weight Models Since GPT-2

August 5, 2025
Follow us
  • Facebook
  • Twitter
  • Pinterest
  • Instagram
  • YouTube
  • Vimeo
© 2025 Techzlab.com Designed and Developed by WebExpert.
  • Home
  • From the Editor
  • Money
  • Privacy Policy
  • Contact

Type above and press Enter to search. Press Esc to cancel.