Quantum 8, 1562 (2024). https://doi.org/10.22331/q-2024-12-12-1562 Floquet codes are an intriguing generalisation of stabiliser and subsystem codes, which can provide good fault-tolerant characteristics while benefiting from reduced connectivity requirements in hardware. A recent question of interest […]
Quantum 8, 1561 (2024). https://doi.org/10.22331/q-2024-12-11-1561 A spin (qubit) is in contact with a bosonic reservoir. The state of the reservoir contains a parameter $varepsilon$ interpolating between quantum and classical reservoir features. We derive the explicit […]
Quantum 8, 1560 (2024). https://doi.org/10.22331/q-2024-12-11-1560 Tensor networks provide succinct representations of quantum many-body states and are an important computational tool for strongly correlated quantum systems. Their expressive and computational power is characterized by an underlying […]
Quantum 8, 1559 (2024). https://doi.org/10.22331/q-2024-12-11-1559 In order to characterize and benchmark computational hardware, software, and algorithms, it is essential to have many problem instances on-hand. This is no less true for quantum computation, where a […]
Quantum 8, 1558 (2024). https://doi.org/10.22331/q-2024-12-10-1558 Quantum signal processing (QSP) represents a real scalar polynomial of degree $d$ using a product of unitary matrices of size $2times 2$, parameterized by $(d+1)$ real numbers called the phase […]
Quantum 8, 1557 (2024). https://doi.org/10.22331/q-2024-12-10-1557 Quantum state preparation plays a crucial role in several areas of quantum information science, in applications such as quantum simulation, quantum metrology and quantum computing. However, typically state preparation requires […]
Quantum 8, 1556 (2024). https://doi.org/10.22331/q-2024-12-10-1556 Error-mitigation techniques such as probabilistic error cancellation and zero-noise extrapolation benefit from accurate noise models. The sparse Pauli-Lindblad noise model is one of the most successful models for those applications. […]
Quantum 8, 1555 (2024). https://doi.org/10.22331/q-2024-12-10-1555 Quantum sensors offer control flexibility during estimation by allowing manipulation by the experimenter across various parameters. For each sensing platform, pinpointing the optimal controls to enhance the sensor’s precision remains […]
Quantum 8, 1554 (2024). https://doi.org/10.22331/q-2024-12-10-1554 The parity mapping provides a geometrically local encoding of the Quantum Approximate Optimization Algorithm (QAOA), at the expense of having a quadratic qubit overhead for all-to-all connected problems. In this […]
Quantum 8, 1553 (2024). https://doi.org/10.22331/q-2024-12-10-1553 How well can quantum computers simulate classical dynamical systems? There is increasing effort in developing quantum algorithms to efficiently simulate dynamics beyond Hamiltonian simulation, but so far exact resource estimates […]
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