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 […]
Quantum 9, 1583 (2025). https://doi.org/10.22331/q-2025-01-08-1583 Linear constraint systems (LCS) have proven to be a surprisingly prolific tool in the study of non-classical correlations and various related issues in quantum foundations. Many results are known for […]
Quantum 9, 1582 (2025). https://doi.org/10.22331/q-2025-01-08-1582 Uncloneable encryption, first introduced by Broadbent and Lord (TQC 2020) is a quantum encryption scheme in which a quantum ciphertext cannot be distributed between two non-communicating parties such that, given […]
Quantum 9, 1581 (2025). https://doi.org/10.22331/q-2025-01-08-1581 A core challenge for superconducting quantum computers is to scale up the number of qubits in each processor without increasing noise or cross-talk. Distributed quantum computing across small qubit arrays, […]
In the great AI gold rush of the past couple of years, Nvidia has dominated the market for shovels—namely the chips needed to train models. But a shift in tactics by many leading AI developers […]
Quantum 8, 1580 (2024). https://doi.org/10.22331/q-2024-12-27-1580 Tensor network contractions are widely used in statistical physics, quantum computing, and computer science. We introduce a method to efficiently approximate tensor network contractions using low-rank approximations, where each intermediate […]
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