Quantum 9, 1798 (2025). https://doi.org/10.22331/q-2025-07-21-1798 The Quantum Fisher Information Matrix (QFIM) plays a crucial role in quantum optimization algorithms such as Variational Quantum Imaginary Time Evolution and Quantum Natural Gradient Descent. However, computing the full […]
Quantum 9, 1797 (2025). https://doi.org/10.22331/q-2025-07-21-1797 The interplay between non-stabilizerness and entanglement in random states is a very rich arena of study for the understanding of quantum advantage and complexity. In this work, we tackle the […]
Quantum 9, 1796 (2025). https://doi.org/10.22331/q-2025-07-14-1796 Photonics represents one of the most promising approaches to large-scale quantum computation with millions of qubits and billions of gates, owing to the potential for room-temperature operation, high clock speeds, […]
Quantum 9, 1795 (2025). https://doi.org/10.22331/q-2025-07-14-1795 Graph states are key resources for measurement-based quantum computing, which is particularly promising for photonic systems. Fusions are probabilistic Bell state measurements, measuring pairs of parity operators of two qubits. […]
Quantum 9, 1794 (2025). https://doi.org/10.22331/q-2025-07-14-1794 We consider the time evolution of multiple clusters of Brownian Sachdev-Ye-Kitaev (SYK), i.e. systems of N Majorana fermions with a noisy interaction term. In addition to the unitary evolution, we […]
Quantum 9, 1793 (2025). https://doi.org/10.22331/q-2025-07-11-1793 We investigate the sensing capacity of non-equilibrium dynamics in quantum systems exhibiting Bloch oscillations. By focusing on the resource efficiency of the probe, quantified by quantum Fisher information, we find […]
Quantum 9, 1792 (2025). https://doi.org/10.22331/q-2025-07-11-1792 This work introduces a self-learning protocol that incorporates measurement and feedback into variational quantum circuits for efficient quantum state preparation. By combining projective measurements with conditional feedback, the protocol learns […]
Quantum 9, 1791 (2025). https://doi.org/10.22331/q-2025-07-11-1791 We define a general formulation of quantum PCPs, which captures adaptivity and multiple unentangled provers, and give a detailed construction of the quantum reduction to a local Hamiltonian with a […]
Quantum 9, 1790 (2025). https://doi.org/10.22331/q-2025-07-11-1790 In the circuit model of quantum computing, amplitude amplification techniques can be used to find solutions to NP-hard problems defined on $n$-bits in time $text{poly}(n) 2^{n/2}$. In this work, we […]
Quantum 9, 1789 (2025). https://doi.org/10.22331/q-2025-07-09-1789 Dynamic quantum simulation is a leading application for achieving quantum advantage. However, high circuit depths remain a limiting factor on near-term quantum hardware. We present a compilation algorithm based on […]
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