Willow and Quantum Computing
Google unveiled Willow, a new quantum processor with improved error correction.
Willow shows potential for solving problems too complex for classical computers.
Qubits vs. Classical Bits
Classical bits are binary (0 or 1) and used in traditional computers.
Qubits can exist in superposition (both 0 and 1), enabling quantum computers to process exponentially more information.
Challenges of Quantum Computing: Fragility & Error Correction
Qubits are fragile and easily disturbed by external factors, causing errors.
Error correction protocols like surface code use extra qubits to identify and fix errors without disrupting quantum states.
Willow’s Breakthrough: Improved Performance
Willow has 105 qubits and uses error correction to enhance stability.
The coherence time of Willow’s qubits is increased, making them more reliable for computations.
Willow shows a reduced error rate as more qubits are added, which is crucial for scaling up.
Random Circuit Sampling (RCS) Task
Willow completed the random circuit sampling (RCS) task in minutes.
The same task would take 10 septillion years on the best classical computers, showcasing Willow’s superiority.
Future Potential
Willow represents progress in overcoming quantum computing challenges.
Quantum computing could soon impact fields like drug design, materials science, and climate modelling, with significant societal benefits.
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