From the 1 of 10 linked papers with an AI index.
10 papers
Real-time adaptive quantum error correction by model-free multi-agent learning
Manuel Guatto, Francesco Preti, Michael Schilling +3
The paper introduces a two-stage framework where multi-agent reinforcement learning discovers quantum error-correcting circuits offline, and a lightweight bandit-based retraining a…
Simple analytical flux-tuned iSWAP pulses for leakage suppression
Dimitrios Georgiadis, Boxi Li, Asier Galicia +3
Fast, high-fidelity two-qubit gates are a key requirement for fault-tolerant quantum computation. Tunable coupler architectures provide a flexible approach for implementing entangl…
Quantum circuit partition as a maze: emerging percolation transition via path finding
P. Zentilini, M. Guatto, F. Preti +4
In quantum circuit optimization, circuit partitioning enables the optimization process to be parallelized across multiple devices. Each device is responsible for either reducing th…
Kraus map closed-form solution for general master equation dynamics
Shahrukh Chishti, Francisco Andrés Cárdenas-López, Felix Motzoi
The Kraus representation of quantum channels allows for a precise emulation of the complex dynamics that take place on quantum processors, whether for benchmarking algorithms, pred…
Gradients, parallelism, and variance of quantum estimates
Francesco Preti, Michael Schilling, József Zsolt Bernád +3
Computation of observables and their gradients on near-term quantum hardware is a central aspect of any quantum algorithm. In this work, we first review standard approaches to the…
Analytical blueprint for 99.999% fidelity X-gates on present superconducting hardware under strong driving
José Diogo Da Costa Jesus, José Diogo Da Costa Jesus, Boxi Li +5
Achieving very fast gates that undercut the natural limits set by decoherence requires going into the strong driving limit. Realizing single-qubit control predicted beyond semi-cla…