Quantum AI
PostQuantum.com by Marin Ivezic – Quantum AI, Quantum ML, Quantum Computing
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Quantum AI: Harnessing Quantum Computing for AI (2024 Update)
Quantum Artificial Intelligence (QAI) is an interdisciplinary field that merges the power of quantum computing with the learning capabilities of artificial intelligence (AI). In essence, QAI seeks to use quantum computing—which exploits phenomena like superposition and entanglement—to run AI algorithms that learn from data and make decisions, potentially far more…
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Guide to Quantum ML for Data Scientists
Quantum Machine Learning (QML) is an emerging interdisciplinary field that integrates quantum computing with traditional machine learning. The motivation is simple: as data grows and models become more complex, classical computing faces limitations in speed and capacity. Quantum computers leverage principles like superposition and entanglement to process information in fundamentally…
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Post-Quantum Cryptography (PQC) Meets Quantum AI (QAI)
Post-Quantum Cryptography (PQC) and Quantum Artificial Intelligence (QAI) are converging fields at the forefront of cybersecurity. PQC aims to develop cryptographic algorithms that can withstand attacks by quantum computers, while QAI explores the use of quantum computing and AI to both break and bolster cryptographic systems.
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Full Stack of AI Concerns: Responsible, Safe, Secure AI
As AI continues to evolve and integrate deeper into societal frameworks, the strategies for its governance, alignment, and security must also advance, ensuring that AI enhances human capabilities without undermining human values. This requires a vigilant, adaptive approach that is responsive to new challenges and opportunities, aiming for an AI…
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Marin’s Statement on AI Risks
The rapid development of AI brings both extraordinary potential and unprecedented risks. AI systems are increasingly demonstrating emergent behaviors, and in some cases, are even capable of self-improvement. This advancement, while remarkable, raises critical questions about our ability to control and understand these systems fully.
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Quantum Computing Paradigms: Neuromorphic QC (NQC)
Neuromorphic quantum computing (NQC) is a cutting-edge paradigm that merges two revolutionary approaches to computing: neuromorphic computing and quantum computing. Neuromorphic computing is inspired by the architecture of the human brain – it uses networks of artificial neurons and synapses (often implemented in specialized hardware) to process information in a…
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Introducing Quantum AI
Quantum Artificial Intelligence (QAI) represents an emerging frontier where quantum computing meets artificial intelligence. This interdisciplinary field explores how quantum algorithms can enhance, accelerate, and expand the capabilities of conventional AI systems. Quantum computing's potential to process complex datasets exponentially faster than classical computers could revolutionize areas like machine learning,…
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