Quantum 6, 844 (2022). https://doi.org/10.22331/q-2022-10-20-844 We propose and investigate a new method of quantum process tomography (QPT) which we call projected least squares (PLS). In short, PLS consists of first computing the least-squares estimator of […]
Quantum 6, 843 (2022). https://doi.org/10.22331/q-2022-10-20-843 According to the entropy accumulation theorem, proving the unconditional security of a device-independent quantum key distribution protocol reduces to deriving tradeoff functions, i.e., bounds on the single-round von Neumann entropy […]
Quantum 6, 842 (2022). https://doi.org/10.22331/q-2022-10-20-842 This paper proposes a new factorization algorithm for computing the phase factors of quantum signal processing. The proposed algorithm avoids root finding of high degree polynomials by using a key […]
Quantum 6, 841 (2022). https://doi.org/10.22331/q-2022-10-17-841 The second law of thermodynamics uses change in free energy of macroscopic systems to set a bound on performed work. Ergotropy plays a similar role in microscopic scenarios, and is […]
Quantum 6, 840 (2022). https://doi.org/10.22331/q-2022-10-13-840 In contrast to interacting systems, the ground state of free systems has a highly ordered pattern of quantum correlations, as witnessed by Wick’s decomposition. Here, we quantify the effect of […]
Quantum 6, 839 (2022). https://doi.org/10.22331/q-2022-10-13-839 We consider the problem of entanglement-assisted one-shot classical communication. In the zero-error regime, entanglement can increase the one-shot zero-error capacity of a family of classical channels following the strategy of […]
Quantum 6, 838 (2022). https://doi.org/10.22331/q-2022-10-13-838 Outcome probability estimation via classical methods is an important task for validating quantum computing devices. Outcome probabilities of any quantum circuit can be estimated using Monte Carlo sampling, where the […]
Quantum 6, 837 (2022). https://doi.org/10.22331/q-2022-10-13-837 A critical engineering challenge in quantum technology is the accurate control of quantum dynamics. Model-based methods for optimal control have been shown to be highly effective when theory and experiment […]
Quantum 6, 836 (2022). https://doi.org/10.22331/q-2022-10-13-836 Logic Artificial Intelligence (AI) is a subfield of AI where variables can take two defined arguments, True or False, and are arranged in clauses that follow the rules of formal […]
Quantum 6, 835 (2022). https://doi.org/10.22331/q-2022-10-13-835 Every open-system dynamics can be associated to infinitely many stochastic pictures, called unravelings, which have proved to be extremely useful in several contexts, both from the conceptual and the practical […]
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