If your New Year’s resolution is to understand quantum computing this year, take a cue from a 9-year-old podcaster talking to ...
Building large-scale quantum technologies requires reliable ways to connect individual quantum bits (qubits) without ...
Scientists at Columbia University have combined lasers and nanotech to trap massive atom arrays for next-gen quantum ...
Abstract: Quantum error correction is fundamental to enabling reliable quantum computation and communication in the presence of noise and decoherence. Over the years ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...
Bitcoin analyst James Check argued Bitcoin’s quantum risk is chiefly a consensus dilemma — not a tech one — because the network is unlikely to freeze legacy coins. James Check, founder and lead ...
Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...
Peter Gratton, Ph.D., is a New Orleans-based editor and professor with over 20 years of experience in investing, risk management, and public policy. Peter began covering markets at Multex (Reuters) ...
SHENZHEN, China, Nov. 14, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological ...
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