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After decades of fragility, error-corrected quantum computing has crossed a threshold signaling a clear, if cautious, path toward practical quantum advantage and future quantum AI.

A 0.5B-parameter neural tensor-network pre-trained on hundreds of thousands of Hamiltonians generalizes to arbitrary systems—scaling to 8100 qubits.

Quantum computers have passed a mathematically proven test that no classical computer can ever pass, demonstrating an unconditional quantum advantage for the first time.

Quantum Genetic Algorithms promise massive speedups by merging evolution-inspired AI with quantum computing. But fitness evaluation and the “Valley of Death” remain major hurdles.

A USC study shows quantum annealing beats classical methods in finding near-optimal solutions for complex optimization challenges.