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 $langle [A(t),B]^2rangle$ […]
Quantum 9, 1586 (2025). https://doi.org/10.22331/q-2025-01-08-1586 The stabiliser formalism plays a central role in quantum computing, error correction, and fault tolerance. Conversions between and verifications of different specifications of stabiliser states and Clifford gates are important […]
Quantum 9, 1585 (2025). https://doi.org/10.22331/q-2025-01-08-1585 Optical lattices serve as fundamental building blocks for atomic quantum technology. However, the scale and resolution of these lattices are diffraction-limited to the light wavelength. In conventional lattices, achieving tight […]
Quantum 9, 1584 (2025). https://doi.org/10.22331/q-2025-01-08-1584 We present $texttt{Cryptomite}$, a Python library of randomness extractor implementations. The library offers a range of two-source, seeded and deterministic randomness extractors, together with parameter calculation modules, making it easy […]
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