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Found 4 papers, 1 papers with code
Photonic Quantum Policy Learning in OpenAI Gym
For the restricted CartPole problem, the two variations of the photonic policy learning achieve comparable performance levels and a faster convergence than the baseline classical neural network of same number of trainable parameters.
Fermion Sampling: a robust quantum computational advantage scheme using fermionic linear optics and magic input states
Based on this, we propose a quantum advantage scheme which is a fermionic analogue of Boson Sampling: Fermion Sampling with magic input states.
Quantum Physics Mathematical Physics Mathematical Physics
Tensor network models of AdS/qCFT
Based on these symmetries, we introduce the notion of a quasiperiodic conformal field theory (qCFT), a critical theory less restrictive than a full CFT and with characteristic multi-scale quasiperiodicity.
Tensor Networks
Quantum Physics
Strongly Correlated Electrons
High Energy Physics - Theory
Mitigation of readout noise in near-term quantum devices by classical post-processing based on detector tomography
Applying our scheme on the IBM's 5-qubit device, we observe a significant improvement of the results of a number of single- and two-qubit tasks including Quantum State Tomography (QST), Quantum Process Tomography (QPT), the implementation of non-projective measurements, and certain quantum algorithms (Grover's search and the Bernstein-Vazirani algorithm).
Quantum Physics
