Quantum 6, 830 (2022). https://doi.org/10.22331/q-2022-10-06-830 Quantum phase estimation is a cornerstone in quantum algorithm design, allowing for the inference of eigenvalues of exponentially-large sparse matrices.The maximum rate at which these eigenvalues may be learned, –known […]
Quantum 6, 829 (2022). https://doi.org/10.22331/q-2022-10-06-829 Quantum computing is believed to be particularly useful for the simulation of chemistry and materials, among the various applications. In recent years, there have been significant advancements in the development […]
Quantum 6, 828 (2022). https://doi.org/10.22331/q-2022-10-06-828 Quantum error correction is believed to be a necessity for large-scale fault-tolerant quantum computation. In the past two decades, various constructions of quantum error-correcting codes (QECCs) have been developed, leading […]
Quantum 6, 827 (2022). https://doi.org/10.22331/q-2022-10-06-827 We characterize the quantum entanglement of the realistic two-qubit signals that are sensitive to charge noises. Our working example is the time response generated from a silicon double quantum dot […]
Quantum 6, 826 (2022). https://doi.org/10.22331/q-2022-10-06-826 Time at the Planck scale ($sim 10^{-44},mathrm{s}$) is an unexplored physical regime. It is widely believed that probing Planck time will remain for long an impossible task. Yet, we propose […]
Quantum 6, 825 (2022). https://doi.org/10.22331/q-2022-10-06-825 Fluctuation theorems provide a correspondence between properties of quantum systems in thermal equilibrium and a work distribution arising in a non-equilibrium process that connects two quantum systems with Hamiltonians $H_0$ […]
Quantum 6, 824 (2022). https://doi.org/10.22331/q-2022-09-29-824 Variational Quantum Algorithms (VQAs) have received considerable attention due to their potential for achieving near-term quantum advantage. However, more work is needed to understand their scalability. One known scaling result […]
Quantum 6, 823 (2022). https://doi.org/10.22331/q-2022-09-29-823 This paper proposes a method of quantum Monte Carlo integration that retains the full quadratic quantum advantage, without requiring any arithmetic or quantum phase estimation to be performed on the […]
Quantum 6, 822 (2022). https://doi.org/10.22331/q-2022-09-29-822 Top-performance sources of photonic entanglement are an indispensable resource for many applications in quantum communication, most notably quantum key distribution. However, up to now, no source has been shown to […]
Quantum 6, 821 (2022). https://doi.org/10.22331/q-2022-09-29-821 Bosonic qubits encoded in continuous-variable systems provide a promising alternative to two-level qubits for quantum computation and communication. So far, photon loss has been the dominant source of errors in […]
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