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 […]
Quantum 7, 1207 (2023). https://doi.org/10.22331/q-2023-12-14-1207 In quantum key distribution (QKD), protocols are tailored to adopt desirable experimental attributes, including high key rates, operation in high noise levels, and practical security considerations. The round-robin differential phase […]
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