Quantum 6, 780 (2022). https://doi.org/10.22331/q-2022-08-17-780 Conventional methods of quantum simulation involve trade-offs that limit their applicability to specific contexts where their use is optimal. In particular, the interaction picture simulation has been found to provide […]
Quantum 6, 779 (2022). https://doi.org/10.22331/q-2022-08-17-779 Recently, table-top experiments involving massive quantum systems have been proposed to test the interface of quantum theory and gravity. In particular, the crucial point of the debate is whether it […]
Quantum 6, 778 (2022). https://doi.org/10.22331/q-2022-08-17-778 Mutually unbiased bases correspond to highly useful pairs of measurements in quantum information theory. In the smallest composite dimension, six, it is known that between three and seven mutually unbiased […]
Quantum 6, 777 (2022). https://doi.org/10.22331/q-2022-08-17-777 We propose and assess an alternative quantum generator architecture in the context of generative adversarial learning for Monte Carlo event generation, used to simulate particle physics processes at the Large […]
Quantum 6, 776 (2022). https://doi.org/10.22331/q-2022-08-16-776 The classical shadows protocol, recently introduced by Huang, Kueng, and Preskill [Nat. Phys. 16, 1050 (2020)], is a quantum-classical protocol to estimate properties of an unknown quantum state. Unlike full […]
Quantum 6, 775 (2022). https://doi.org/10.22331/q-2022-08-11-775 The task of determining whether a given quantum channel has positive capacity to transmit quantum information is a fundamental open problem in quantum information theory. In general, the coherent information […]
Quantum 6, 774 (2022). https://doi.org/10.22331/q-2022-08-11-774 We introduce Mitiq, a Python package for error mitigation on noisy quantum computers. Error mitigation techniques can reduce the impact of noise on near-term quantum computers with minimal overhead in […]
Quantum 6, 773 (2022). https://doi.org/10.22331/q-2022-08-04-773 Quantum state preparation is an important ingredient for other higher-level quantum algorithms, such as Hamiltonian simulation, or for loading distributions into a quantum device to be used e.g. in the […]
Quantum 6, 772 (2022). https://doi.org/10.22331/q-2022-08-04-772 We provide a stochastic interpretation of non-commutative Dirichlet forms in the context of quantum filtering. For stochastic processes motivated by quantum optics experiments, we derive an optimal finite time deviation […]
There is a magical, predictable, frustrating, unavoidable pattern that we observe every year at Quantum, and can be found anywhere where research papers are submitted. Twice per year, in late July and early December, authors […]
Recent Comments