Quantum Simulation of Complex Systems
How quantum computers could simulate complex systems in materials science and biology, how they compare with classical simulation, and limits.
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739 articlesHow quantum computers could simulate complex systems in materials science and biology, how they compare with classical simulation, and limits.
How artificial life simulations might use quantum computing, what emergent behaviors are studied, and the scientific and ethical questions.
An exploration of quantum effects relevant to ecology, from energy transfer in photosynthesis to quantum computing for ecological models.
Quantum electromechanical systems couple tiny mechanical resonators to quantum circuits or light. Their physics, experiments and sensing uses.
Quantum probability models explain decision effects such as question-order effects that classical probability struggles with. How they work.
Quantum data fusion combines information from several noisy sources. How quantum methods might help and how they compare with classical fusion.
Quantum models of cognition use the mathematics of quantum probability to describe human judgments. Key ideas, evidence and criticism.
What quantum computational neuroscience proposes: quantum models of brain activity, quantum sensors and simulations, and the scientific criticism.
How quantum algorithms might be applied to machine vision tasks such as object recognition and image classification, and the current limits.
What is known about quantum coherence in living systems, from photosynthesis and enzyme tunneling to more speculative ideas about the brain.
How quantum simulation models materials from atomic interactions up, predicts properties and could speed up the design of new materials.
How quantum optimization is being tested in supply chain planning and logistics, what it could improve, and the hardware limits it faces.