Quantum 9, 1596 (2025). https://doi.org/10.22331/q-2025-01-15-1596 Distributed quantum sensing enables the estimation of multiple parameters encoded in spatially separated probes. While traditional quantum sensing is often focused on estimating a single parameter with maximum precision, distributed […]
Quantum 9, 1595 (2025). https://doi.org/10.22331/q-2025-01-15-1595 We improve the test to show the impossibility of a quantum theory based on real numbers by a larger ratio of complex-to-real bound on a Bell-type parameter. In contrast to […]
Quantum 9, 1594 (2025). https://doi.org/10.22331/q-2025-01-15-1594 Quantum optimization methods use a continuous degree-of-freedom of quantum states to heuristically solve combinatorial problems, such as the MAX-CUT problem, which can be attributed to various NP-hard combinatorial problems. This […]
Quantum 9, 1593 (2025). https://doi.org/10.22331/q-2025-01-14-1593 Quantum-inspired classical algorithms provide us with a new way to understand the computational power of quantum computers for practically-relevant problems, especially in machine learning. In the past several years, numerous […]
Quantum 9, 1592 (2025). https://doi.org/10.22331/q-2025-01-14-1592 Adrian Kent has recently presented a critique [1] of our paper [2] in which he claims to refute our main result: the measurement postulates of quantum mechanics can be derived […]
Quantum 9, 1591 (2025). https://doi.org/10.22331/q-2025-01-14-1591 Correlations in Einstein-Podolsky-Rosen (EPR) scenarios, captured by $assemblages$ of unnormalised quantum states, have recently caught the attention of the community, both from a foundational and an information-theoretic perspective. The set […]
Quantum 9, 1590 (2025). https://doi.org/10.22331/q-2025-01-14-1590 We propose a state preparation protocol based on sequential measurements of a central spin coupled with a spin ensemble, and investigate the usefulness of the generated multi-spin states for quantum […]
Quantum 9, 1589 (2025). https://doi.org/10.22331/q-2025-01-14-1589 We tackle the problem of Clifford isometry compilation, i.e, how to synthesize a Clifford isometry into an executable quantum circuit. We propose a simple framework for synthesis that only exploits […]
Quantum 9, 1588 (2025). https://doi.org/10.22331/q-2025-01-13-1588 Decision trees are widely adopted machine learning models due to their simplicity and explainability. However, as training data size grows, standard methods become increasingly slow, scaling polynomially with the number […]
Quantum 9, 1587 (2025). https://doi.org/10.22331/q-2025-01-13-1587 Quantum many-body chaos concerns the scrambling of quantum information among large numbers of degrees of freedom. It rests on the prediction that out-of-time-ordered correlators (OTOCs) of the form $langle [A(t),B]^2rangle$ […]
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