>
EG4 Power Pro VS Ruixu Lithi VS Yixiang Budget Battery! Best Selling Battery Showdown!
When Society Breaks: The Human Threats You'll Face in a Real SHTF Collapse
Dubai-Based Emirates Airline Adds Bitcoin and Crypto Payments
Oh My F#@!ing God, They're Doing It Again
What could possibly go wrong? Scientists use AI to design new viruses
Dual-motor suitcase drive underpins 3,000-hp hypercar
DoorDash Wins Federal Approval To Fly Its Own Delivery Drones
Shade-Resistant Solar Cells Retain 97% Efficiency After 2,000 Hours of Testing
20 Ancient Engineering SECRETS
Stonehenge Was Reanalyzed by AI -- And the Findings Are Hard to Explain
After Years Of Delays, Aptera Is Finally Preparing To Build Customer Cars
'When you kill it, it doesn't die': the jellyfish that has cracked the secret of immorta
Archer Aviation debuts Halo autonomous VTOL, Thunder's commercial twin
US Telecoms Slide On Starlink Mobile Threat; Bernstein Sees It As A "Jab, But No Knockout Yet**

John Martinis, one of Google's quantum computing gurus, laid out Google's "stretch goal": to build and test a 49-qubit ("quantum bit") quantum computer by the end of 2017. This computer will use qubits made of superconducting circuits. Each qubit is prepared in a precise quantum state based on a two-state system. The test will be a milestone in quantum computer technology. In a subsequent presentation, Sergio Boixo, Martinis' colleague at Google, said that a quantum computer with approximately 50 qubits will be capable of certain tasks beyond anything the fastest classical computers can do.
Researchers say that quantum computers promise an exponential increase in speed for a subset of computational chores like prime number factorization or exact simulations of organic molecules. This is because of entanglement: If you prepare entangled qubits, you will be able to manipulate multiple states simultaneously.
New Scientist reports that Google is testing a 20 qubit quantum computer. Alan Ho, an engineer in Google's quantum AI lab, revealed the company's progress at a quantum computing conference in Munich, Germany. His team is currently working with a 20-qubit system that has a "two-qubit fidelity" of 99.5 per cent – a measure of how error-prone the processor is, with a higher rating equating to fewer errors.