Quantum 6, 684 (2022). https://doi.org/10.22331/q-2022-04-13-684 Strong coupling regime takes place in open hybrid systems consisting of two or more physical subsystems when the coupling strength between subsystems exceeds the relaxation rate. The relaxation arises due […]
Quantum 6, 683 (2022). https://doi.org/10.22331/q-2022-04-07-683 Uncertainty relations play a crucial role in quantum mechanics. Well-defined methods exist for the derivation of such uncertainties for pairs of observables. Other approaches also allow the formulation of time-energy […]
Quantum 6, 682 (2022). https://doi.org/10.22331/q-2022-04-06-682 Periodically-driven systems are ubiquitous in science and technology. In quantum dynamics, even a small number of periodically-driven spins leads to complicated dynamics. Hence, it is of interest to understand what […]
Quantum 6, 681 (2022). https://doi.org/10.22331/q-2022-04-04-681 We develop a systematic procedure to quantise canonically Hamiltonians of light-matter models of transmission lines coupled through lumped linear lossless ideal nonreciprocal elements, that break time-reversal symmetry, in a circuit […]
Quantum 6, 680 (2022). https://doi.org/10.22331/q-2022-04-04-680 We consider the problem of continuous quantum error correction from a Bayesian perspective, proposing a pair of digital filters using logarithmic probabilities that are able to achieve near-optimal performance on […]
Quantum 6, 679 (2022). https://doi.org/10.22331/q-2022-03-31-679 This work analyses the performance of quantum circuits and general processes to transform $k$ uses of an arbitrary unitary operation $U$ into another unitary operation $f(U)$. When the desired function […]
Quantum 6, 678 (2022). https://doi.org/10.22331/q-2022-03-30-678 We show how to apply the recursive quantum approximate optimization algorithm (RQAOA) to MAX-$k$-CUT, the problem of finding an approximate $k$-vertex coloring of a graph. We compare this proposal to […]
Quantum 6, 677 (2022). https://doi.org/10.22331/q-2022-03-30-677 Variational quantum algorithms are ubiquitous in applications of noisy intermediate-scale quantum computers. Due to the structure of conventional parametrized quantum gates, the evaluated functions typically are finite Fourier series of […]
Quantum 6, 676 (2022). https://doi.org/10.22331/q-2022-03-30-676 We propose a quantum representation of binary classification trees with binary features based on a probabilistic approach. By using the quantum computer as a processor for probability distributions, a probabilistic […]
Quantum 6, 675 (2022). https://doi.org/10.22331/q-2022-03-30-675 The three key elements of a quantum simulation are state preparation, time evolution, and measurement. While the complexity scaling of time evolution and measurements are well known, many state preparation […]
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