Advancements in quantum computing and materials

Using topological insulators for low-power spintronic memory devices in quantum computing

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Achieving picometer precision in quantum dot placement for next-gen quantum computing

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Optimizing quantum error correction codes via self-supervised curriculum learning

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Quantum error correction at coherence limits using topological qubit arrays

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Through sim-to-real transfer for scalable quantum error correction protocols

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Optimizing spin relaxation timescales for quantum computing coherence

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Optimizing drug discovery using computational retrosynthesis with quantum-inspired algorithms

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Automated retrosynthesis platforms for rapid drug discovery using AI and quantum computing

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Using forbidden physics concepts to achieve room-temperature superconductivity in hybrid materials

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Using carbon nanotube vias for ultra-high-density interconnects in quantum computing chips

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Fusing Byzantine mathematics with quantum algorithms for optimized error correction codes

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Using gate-all-around nanosheet transistors for next-generation quantum computing chips

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