Particle accelerators are complex machines that have hundreds of free parameters which can be tuned to increase accelerator performance and beam quality. Controlling these parameters in real time ...
Quantum stochastic walks for portfolio optimization: theory and implementation on financial networks
Classical mean-variance optimization is powerful in theory but fragile in practice, often producing highly concentrated, high-turnover portfolios. Naive equal-weight (1/N) portfolios are more robust ...
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