Research Archive

Google's Willow chip demonstrates exponential error suppression below threshold, achieving a historic milestone in quantum error correction that was first proposed by Peter Shor in 1995.

First-ever verifiable quantum advantage using Quantum Echoes algorithm on Willow chip, running 13,000x faster than classical supercomputers with applications in molecular chemistry and materials science.

Revolutionary neutral atom array system operating continuously for over 2 hours with 3,000+ qubits, using optical lattice conveyor belts to reload atoms at 300,000 atoms per second while maintaining quantum coherence.

Novel algorithm enabling feature selection for quantum machine learning on quantum data itself, not just classically encoded data, unlocking new possibilities for quantum-enhanced ML applications.

Comprehensive survey categorizing quantum machine learning contributions, covering quantum feature mapping, circuit design, and applications in medicine, finance, and image classification with focus on noise-tolerant implementations.

Record-breaking 6,100 neutral-atom qubit array demonstrating exceptional coherence and ability to move atoms while maintaining superposition, a critical step toward error-corrected quantum computers with thousands of qubits.