From the 3 of 172 papers with an AI index.
38 citations
- California Institute of TechnologyUS59 papers
- Massachusetts Institute of TechnologyUS51 papers
- University of Maryland, College ParkUS49 papers
- Johns Hopkins UniversityUS46 papers
- Université Paris-SaclayFR46 papers
- University of California SystemUS45 papers
- Eötvös Loránd UniversityHU44 papers
- Seoul National UniversityKR44 papers
- University of FloridaUS44 papers
- National Central UniversityTW43 papers
- Peking UniversityCN43 papers
- Sapienza University of RomeIT43 papers
16 papers · 1 filter
Retrocausal capacity of a quantum channel: Communicating through noisy closed timelike curves
Kaiyuan Ji, Seth Lloyd, Mark M. Wilde
We study the capacity of a quantum channel for retrocausal communication, where messages are transmitted backward in time, from a sender in the future to a receiver in the past, th…
Fractal structure of multipartite entanglement in monitored quantum circuits
Vaibhav Sharma, Erich J Mueller
We study the structure of multipartite entanglement in monitored quantum circuits exhibiting measurement-induced phase transitions (MIPTs). Using a one-dimensional Clifford circuit…
Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth
Zihao Qi, Yang Peng, Christopher Earls
Time-periodic quantum systems exhibit a rich variety of far-from-equilibrium phenomena and serve as ideal platforms for quantum engineering and control. However, simulating their d…
String-Breaking Dynamics in Quantum Adiabatic and Diabatic Processes
Federica Maria Surace, Alessio Lerose, Or Katz +10
Confinement prohibits isolation of color charges, e.g., quarks, in nature via a process called string breaking: the separation of two charges results in an increase in the energy o…
Free-Fermion Dynamics with Measurements: Topological Classification and Adaptive Preparation of Topological States
Asadullah Bhuiyan, Haining Pan, Chao-Ming Jian
We develop a general framework for classifying fermionic dynamical systems with measurements using symmetry and topology. We introduce two complementary classification schemes base…
Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing
Austin Braniff, Fengqi You, Yuhe Tian
In this work, we present quantum reinforcement learning (RL) as a solution strategy for process synthesis problems. Building on our prior work, we develop a generalized framework t…