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Found 12 papers, 3 papers with code
Quantum Finance: a tutorial on quantum computing applied to the financial market
Previously only considered a frontier area of Physics, nowadays quantum computing is one of the fastest growing research field, precisely because of its technological applications in optimization problems, machine learning, information security and simulations.
Causal inference with imperfect instrumental variables
However, if this independence condition is not met, can we still work with imperfect instrumental variables?
Ab-initio experimental violation of Bell inequalities
The violation of a Bell inequality is the paradigmatic example of device-independent quantum information: the nonclassicality of the data is certified without the knowledge of the functioning of devices.
Causal Networks and Freedom of Choice in Bell's Theorem
Bell's theorem is typically understood as the proof that quantum theory is incompatible with local-hidden-variable models.
Semi-device-independent certification of entanglement in superdense coding
Superdense coding is a paradigmatic protocol in quantum information science, employing a quantum communication channel to send classical information more efficiently.
Quantum Physics
Quantifying causal influences in the presence of a quantum common cause
Quantum mechanics challenges our intuition on the cause-effect relations in nature.
Device-Independent Secret Sharing and a Stronger Form of Bell Nonlocality
Bell nonlocality, the fact that local hidden variable models cannot reproduce the correlations obtained by measurements on entangled states, is a cornerstone in our modern understanding of quantum theory.
Quantum Physics
Bounding the sets of classical and quantum correlations in networks
We present a method that allows the study of classical and quantum correlations in networks with causally-independent parties, such as the scenario underlying entanglement swapping.
Quantum Physics
Unveiling phase transitions with machine learning
The classification of phase transitions is a central and challenging task in condensed matter physics.
Machine learning non-local correlations
The ability to witness non-local correlations lies at the core of foundational aspects of quantum mechanics and its application in the processing of information.
Semidefinite tests for latent causal structures
Testing whether a probability distribution is compatible with a given Bayesian network is a fundamental task in the field of causal inference, where Bayesian networks model causal relations.
A unifying framework for relaxations of the causal assumptions in Bell's theorem
Bell's Theorem shows that quantum mechanical correlations can violate the constraints that the causal structure of certain experiments impose on any classical explanation.
