Quantum 9, 1648 (2025). https://doi.org/10.22331/q-2025-02-26-1648 We study Heisenberg scaling of quantum metrology in the viewpoint of population coding. Although Fisher information has been used for a figure of merit to characterize Heisenberg scaling in quantum […]
Quantum 9, 1647 (2025). https://doi.org/10.22331/q-2025-02-26-1647 In this paper we study single qutrit circuits consisting of words over the Clifford$+mathcal{D}$ cyclotomic gate set, where $mathcal{D}=text{diag}(pmxi^{a},pmxi^{b},pmxi^{c})$, $xi$ is a primitive $9$-th root of unity and $a,b,c$ are […]
Quantum 9, 1646 (2025). https://doi.org/10.22331/q-2025-02-26-1646 Quantum non-Markovianity in tripartite quantum states $rho_{ABC}$ represents a correlation between systems $A$ and $C$ when conditioned on the system $B$ and is known to have both classical and quantum […]
Quantum 9, 1645 (2025). https://doi.org/10.22331/q-2025-02-25-1645 Matrix-product unitaries (MPU) are 1D tensor networks describing time evolution and unitary symmetries of quantum systems, while their action on states by construction preserves the entanglement area law. MPU which […]
Quantum 9, 1644 (2025). https://doi.org/10.22331/q-2025-02-25-1644 Known mappings that encode fermionic modes into a bosonic qubit system are non-local transformations. In this paper we establish that this must necessarily be the case, if the locality graph […]
Quantum 9, 1643 (2025). https://doi.org/10.22331/q-2025-02-25-1643 Random access codes are a type of communication task that is widely used in quantum information science. The optimal average success probability that can be achieved through classical strategies is […]
Quantum 9, 1642 (2025). https://doi.org/10.22331/q-2025-02-25-1642 We present the Virtual Quantum Device (VQD) platform, a system based on the QuEST quantum emulator. Through the use of VQDs, non-expert users can emulate specific quantum computers with detailed […]
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 […]
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 […]
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