Quantum 8, 1217 (2024). https://doi.org/10.22331/q-2024-01-03-1217 The notion of macrorealism was introduced by Leggett and Garg in an attempt to capture our intuitive conception of the macroscopic world, which seems difficult to reconcile with our knowledge […]
Quantum 8, 1216 (2024). https://doi.org/10.22331/q-2024-01-02-1216 In this homage to Einstein’s 144th birthday we propose a novel quantization prescription, where the paths of a path-integral are not random, but rather solutions of a geodesic equation in […]
Quantum 7, 1215 (2023). https://doi.org/10.22331/q-2023-12-28-1215 We present a new framework for assessing the power of measurement-based quantum computation (MBQC) on short-range entangled symmetric resource states, in spatial dimension one. It requires fewer assumptions than previously […]
Quantum 7, 1214 (2023). https://doi.org/10.22331/q-2023-12-21-1214 Operator controllability refers to the ability to implement an arbitrary unitary in SU(N) and is a prerequisite for universal quantum computing. Controllability tests can be used in the design of […]
Quantum 7, 1213 (2023). https://doi.org/10.22331/q-2023-12-20-1213 With a focus on universal quantum computing for quantum simulation, and through the example of lattice gauge theories, we introduce rather general quantum algorithms that can efficiently simulate certain classes […]
Quantum 7, 1212 (2023). https://doi.org/10.22331/q-2023-12-20-1212 Graph states are versatile resources for various quantum information processing tasks, including measurement-based quantum computing and quantum repeaters. Although the type-II fusion gate enables all-optical generation of graph states by […]
Quantum 7, 1211 (2023). https://doi.org/10.22331/q-2023-12-20-1211 Many-particle quantum systems with intermediate anyonic exchange statistics are supported in one spatial dimension. In this context, the anyon-anyon mapping is recast as a continuous transformation that generates shifts of […]
Quantum 7, 1210 (2023). https://doi.org/10.22331/q-2023-12-20-1210 The widespread success of deep neural networks has revealed a surprise in classical machine learning: very complex models often generalize well while simultaneously overfitting training data. This phenomenon of benign […]
Quantum 7, 1209 (2023). https://doi.org/10.22331/q-2023-12-18-1209 We introduce a neural network-based approach for modeling wave functions that satisfy Bose-Einstein statistics. Applying this model to small $^4He_N$ clusters (with N ranging from 2 to 14 atoms), we […]
Quantum 7, 1208 (2023). https://doi.org/10.22331/q-2023-12-18-1208 We give a novel procedure for approximating general single-qubit unitaries from a finite universal gate set by reducing the problem to a novel magnitude approximation problem, achieving an immediate improvement […]
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