Quantum 10, 1984 (2026). https://doi.org/10.22331/q-2026-01-22-1984 Executing quantum algorithms over distributed quantum systems requires quantum circuits to be divided into sub-circuits which communicate via entanglement-based teleportation. Naively mapping circuits to qubits over multiple quantum processing units […]
Quantum 10, 1983 (2026). https://doi.org/10.22331/q-2026-01-22-1983 We study the properties of photons in a cryogenic cavity, made by cryo-cooled mirrors surrounded by a room temperature environment. We model such a system as a multimode cavity coupled […]
Quantum 10, 1982 (2026). https://doi.org/10.22331/q-2026-01-22-1982 Interplay between quantum interference and classical randomness can enhance performance of various quantum information tasks. In the present paper we analyze recurrence phenomena in the discrete-time quantum stochastic walk on […]
Quantum 10, 1981 (2026). https://doi.org/10.22331/q-2026-01-22-1981 Sampling from Gibbs states – states corresponding to system in thermal equilibrium – has recently been shown to be a task for which quantum computers are expected to achieve super-polynomial […]
Quantum 10, 1980 (2026). https://doi.org/10.22331/q-2026-01-22-1980 Signing quantum messages has long been considered impossible even under computational assumptions. In this work, we challenge this notion and provide three innovative approaches to sign quantum messages that are […]
Quantum 10, 1979 (2026). https://doi.org/10.22331/q-2026-01-21-1979 Locality is a fundamental feature of many physical time evolutions. Assumptions on locality and related structural properties also underlie recently proposed procedures for learning an unknown Hamiltonian from access to […]
Quantum 10, 1978 (2026). https://doi.org/10.22331/q-2026-01-21-1978 Transformations of transformations, also called higher-order transformations, is a natural concept in information processing, which has recently attracted significant interest in the study of quantum causal relations. In this work, […]
Quantum 10, 1977 (2026). https://doi.org/10.22331/q-2026-01-21-1977 Cluster states and graph states in general offer a useful model of the stabilizer formalism and a path toward the development of measurement-based quantum computation. Their defining structure – the […]
Quantum 10, 1976 (2026). https://doi.org/10.22331/q-2026-01-20-1976 Recent theoretical results in quantum machine learning have demonstrated a general trade-off between the expressive power of quantum neural networks (QNNs) and their trainability; as a corollary of these results, […]
Quantum 10, 1975 (2026). https://doi.org/10.22331/q-2026-01-20-1975 For many problems, quantum algorithms promise speedups over their classical counterparts. However, these results predominantly rely on asymptotic worst-case analysis, which overlooks significant overheads due to error correction and the […]
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