Quantum 9, 1641 (2025). https://doi.org/10.22331/q-2025-02-20-1641 Quantum signal processing (QSP) is a framework which was proven to unify and simplify a large number of known quantum algorithms, as well as discovering new ones. QSP allows one […]
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Quantum 9, 1640 (2025). https://doi.org/10.22331/q-2025-02-20-1640 Quantum machine learning is arguably one of the most explored applications of near-term quantum devices. Much focus has been put on notions of variational quantum machine learning where $textit{parameterized quantum […]
Quantum 9, 1639 (2025). https://doi.org/10.22331/q-2025-02-19-1639 One of the most important quantities characterizing the microscopic properties of quantum systems are dynamical correlation functions. These correlations are obtained by time-evolving a perturbation of an eigenstate of the […]
Quantum 9, 1638 (2025). https://doi.org/10.22331/q-2025-02-19-1638 Quantum computing provides a novel avenue towards simulating dynamical phenomena, and, in particular, scattering processes relevant for exploring the structure of matter. However, preparing and evolving particle wave packets on […]
Quantum 9, 1637 (2025). https://doi.org/10.22331/q-2025-02-18-1637 The quantum prepare-and-measure scenario has been studied under various physical assumptions on the emitted states. Here, we first discuss how different assumptions are conceptually and formally related. We then identify […]
Quantum 9, 1636 (2025). https://doi.org/10.22331/q-2025-02-18-1636 Pebble games are popular models for analyzing time-space trade-offs. In particular, reversible pebble game strategies are frequently applied in quantum algorithms like Grover’s search to efficiently simulate classical computation on […]
Quantum 9, 1635 (2025). https://doi.org/10.22331/q-2025-02-18-1635 We present a cooling algorithm for ground state preparation of fermionic Hamiltonians. Our algorithm makes use of the Hamiltonian simulation of the considered system coupled to an ancillary fridge, which […]
Quantum 9, 1634 (2025). https://doi.org/10.22331/q-2025-02-18-1634 Quasiprobabilistic cutting techniques allow us to partition large quantum circuits into smaller subcircuits by replacing non-local gates with probabilistic mixtures of local gates. The cost of this method is a […]
Quantum 9, 1633 (2025). https://doi.org/10.22331/q-2025-02-17-1633 Quantum Floquet engineering (QFE) seeks to generalize the control of quantum systems with classical external fields, widely known as Semi-Classical Floquet engineering (SCFE), to quantum fields. However, to faithfully capture […]
Quantum 9, 1632 (2025). https://doi.org/10.22331/q-2025-02-17-1632 The development of practical, high-performance decoding algorithms reduces the resource cost of fault-tolerant quantum computing. Here we propose a decoder for the surface code that finds low-weight correction operators for […]
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