References: Better Alternatives to Quantum Computing
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Quantum sensor - Wikipedia - Covers quantum sensing technologies including atomic clocks, magnetometers, and gravimeters, explaining why single-qubit and few-qubit quantum devices succeed commercially where million-qubit quantum computers cannot.
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Atomic clock - Wikipedia - Details the physics of atomic frequency standards from chip-scale to optical lattice clocks, providing technical context for this chapter's analysis of the most commercially successful quantum technology.
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Quantum key distribution - Wikipedia - Explains QKD protocols including BB84 and E91, deployment challenges, and distance limitations, relevant to this chapter's evaluation of QKD as a niche but deployable quantum technology.
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Quantum Sensing and Communication: Fundamentals and Applications (2023) - Luca Calderaro and Paolo Villoresi - Cambridge University Press - Comprehensive treatment of quantum sensing physics and commercial applications, supporting this chapter's argument that quantum sensing offers superior risk-adjusted returns compared to quantum computing.
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Quantum Technology: From Research to Application (2021) - Rainer Blatt and Jian-Wei Pan, Editors - Springer - Surveys the full landscape of quantum technologies including sensing, communication, and computing, providing the comparative framework this chapter uses to identify better investment alternatives.
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Quantum Sensing for Gravity Cartography - Stray et al., Nature (2022) - First demonstration of a quantum gravity gradiometer detecting underground structures, exemplifying the commercially viable quantum sensing applications highlighted in this chapter.
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A Quantum Revolution in Sensing - National Institute of Standards and Technology - Overview of quantum sensing research and standards including atomic clocks and magnetometers, providing authoritative context for this chapter's analysis of sensing as the proven quantum success story.
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The Global Quantum Sensor Market Analysis - MarketsandMarkets (2024) - Market research valuing the quantum sensor industry at approximately $800 million with projected growth, providing the revenue data this chapter uses to contrast sensing profitability with computing losses.
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Classical Computing Is Not Dead - Semiconductor Engineering (2024) - Analysis of continued improvement in classical AI hardware including GPUs, TPUs, and neuromorphic chips, supporting this chapter's argument that classical alternatives offer better investment returns than quantum computing.
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Wearable Magnetoencephalography Using Optically Pumped Magnetometers - Boto et al., Nature (2018) - Landmark demonstration of a wearable brain-scanning MEG system using quantum magnetometers, illustrating the real-world commercial applications of quantum sensing discussed in this chapter.