NVDA
NVIDIA
-- 140.110 RGTI
Rigetti Computing
-- 10.0400 TSLA
Tesla
-- 394.940 AMD
Advanced Micro Devices
-- 121.840 PLTR
Palantir
-- 68.230 
$Quantum Computing (QUBT.US)$$NVIDIA (NVDA.US)$ Nvidia prima...
Nvidia primarily focuses on classical computing, particularly through Graphics Processing Units (GPUs), which are highly efficient for parallel processing tasks such as machine learning, data analysis, and graphics rendering. GPUs excel at handling massive datasets and performing computations on them simultaneously, but they are based on classical principles of computation.
Quantum computing, on the other hand, uses principles of quantum mechanics—such as superposition and entanglement—to process information in fundamentally different ways. Quantum computers have the potential to solve certain types of problems much faster than classical computers, especially for tasks like factoring large numbers, simulating quantum systems, or optimizing complex systems.
Quantum computing, on the other hand, uses principles of quantum mechanics—such as superposition and entanglement—to process information in fundamentally different ways. Quantum computers have the potential to solve certain types of problems much faster than classical computers, especially for tasks like factoring large numbers, simulating quantum systems, or optimizing complex systems.
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