Papers
Reinforcement learning for quantum processes with memory
Josep Lumbreras, Ruo Cheng Huang, Yanglin Hu +2 more·Mar 26, 2026
In reinforcement learning, an agent interacts sequentially with an environment to maximize a reward, receiving only partial, probabilistic feedback. This creates a fundamental exploration-exploitation trade-off: the agent must explore to learn the hi...
Uncertainty Quantification for Quantum Computing
Ryan Bennink, Olena Burkovska, Konstantin Pieper +2 more·Mar 26, 2026
This review is designed to introduce mathematicians and computational scientists to quantum computing (QC) through the lens of uncertainty quantification (UQ) by presenting a mathematically rigorous and accessible narrative for understanding how nois...
Test of the essential collapse-locality loophole
Mónica Agüero, Juliana Bourdieu, Alejandro Hnilo +2 more·Mar 26, 2026
Collapse-locality is an untested loophole in the violation of Bell's inequalities. The core of the argument is that the time value of photon detection is delayed by the time Tc required by the collapse of its quantum state. The value of Tc is given b...
SentinelAI: A Multi-Agent Framework for Structuring and Linking NG9-1-1 Emergency Incident Data
Kliment Ho, Ilya Zaslavsky·Mar 25, 2026
Emergency response systems generate data from many agencies and systems. In practice, correlating and updating this information across sources in a way that aligns with Next Generation 9-1-1 data standards remains challenging. Ideally, this data shou...
Resource-optimal quantum mode parameter estimation with multimode Gaussian states
Maximilian Reichert, Mikel Sanz, Nicolas Fabre·Mar 25, 2026
Quantum mode parameter estimation determines parameters governing the shape of electromagnetic modes occupied by a quantum state of radiation. Canonical examples, time delays and frequency shifts, underpin radar, lidar, and optical clocks. A comprehe...
Multipartite entanglement dynamics in quantum walks
Emil K. F. Donkersloot, René Sondenheimer, Jan Sperling·Mar 25, 2026
Quantum walks constitute a rich area of quantum information science, where multipartite entanglement plays a central role in the dynamics and scalability of quantum advantage over classical simulators. In this work, we study the multipartite entangle...
Efficient Many-Body Shadow Metrology via Clifford Lensing
Sooryansh Asthana, Conan Alexander, Anubhav Kumar Srivastava +2 more·Mar 25, 2026
Quantum probes that enable enhanced exploration and characterization of complex systems are central to modern science, spanning applications from biology to astrophysics and chemical design. In large many-body quantum systems, interactions delocalize...
Energy Balance of a Boson Gas at Zero Temperature in Curved Spacetime
Jorge Meza-Domínguez, Tonatiuh Matos, Pierre-Henri Chavanis·Mar 25, 2026
We develop a comprehensive thermodynamic description for a zero-temperature boson gas in curved spacetime, integrating energy conservation with information-theoretic principles. Using the hydrodynamic Madelung representation within the ADM formalism,...
Quantum photonic neural networks in time
Ivanna M. Boras Vazquez, Jacob Ewaniuk, Nir Rotenberg·Mar 25, 2026
We introduce the architecture and timing algorithm to realize a time-bin-encoded quantum photonic neural network (QPNN): a reconfigurable nonlinear photonic circuit inspired by the brain and trained to process quantum information. Unlike the typical ...
Geometry-tunable magnetic edge contrast in Bi2Te3 Corbino nanoplates
Motahhare Mirhosseini, Swathi Kadaba, Allison Swyt +1 more·Mar 24, 2026
Two-dimensional topological insulators feature helical edge states that are remarkably resistant to disorder, making them appeal for energy-efficient electronics and quantum information technologies. In this study, we develop a Te-rod-templated solut...
Information-Geometric Quantum Process Tomography of Single Qubit Systems
T. Koide, A. van de Venn·Mar 24, 2026
We establish an exact information-geometric inequality that remains valid regardless of the underlying dynamics, encompassing both Markovian and non-Markovian evolutions within the mixed-state domain. This inequality can be viewed as an extension of ...
Quantum correlations in prepare-and-measure scenarios and their semi-device-independent applications
Jonatan Bohr Brask, Nicolas Brunner, Jef Pauwels +2 more·Mar 24, 2026
A key aspect in quantum information is to understand the advantage offered by quantum systems over classical ones in communication tasks. In recent years, a fundamental approach to this problem has been developed, focusing on quantum correlations in ...
Entanglement transference and non-inertial quantum reference frames
Everett A. Patterson, Sijia Wang, Robert B. Mann·Mar 24, 2026
Given the recent interest in perspectival quantum reference frames (QRFs), we ask how quantum properties in the perspectival picture relate to their global, non-perspectival counterparts. It is instructive to establish this link, as most known result...
Enhanced Dark Matter Quantum Sensing via Geometric Phase
Xiaolin Ma, Jie Sheng·Mar 24, 2026
We propose a quantum sensing protocol for coupled qubit-oscillator systems that surpasses the standard quantum limit by exploiting a geometric phase for dark matter searches. Instead of letting the cavity evolve freely under a weak dark matter backgr...
Initial State Memory in Finite Random Brickwork Circuits
Jakob Bannister, Katja Klobas, Colin Rylands +1 more·Mar 24, 2026
We ask under what conditions a finite brickwork circuit of random gates retains local information about the initial state. To answer this question we measure the averaged Frobenius distance between the reduced states obtained by evolving two arbitrar...
Information-Theoretic Scaling Laws of Neural Quantum States
Yiming Lu, Sriram Bharadwaj, Dikshant Rathore +1 more·Mar 24, 2026
We establish an information-theoretic scaling law for generic autoregressive neural quantum states, determined by the middle-cut mutual information of the wavefunction amplitude. By formalizing the virtual bond as an effective information channel acr...
Reaching for the performance limit of hybrid density functional theory for molecular chemistry
Jiashu Liang, Martin Head-Gordon·Mar 24, 2026
Density functional theory (DFT) offers an exceptional balance between accuracy and efficiency, but practical density functional approximations face an unavoidable trade-off among simplicity, accuracy, and transferability. A systematic protocol is the...
Single-letter one-way distillable entanglement for non-degradable states
Rabsan Galib Ahmed, Graeme Smith, Peixue Wu·Mar 24, 2026
The one-way distillable entanglement is a central operational measure of bipartite entanglement, quantifying the optimal rate at which maximally entangled pairs can be extracted by one-way LOCC. Despite its importance, it is notoriously hard to compu...
Global control via quantum actuators
Roberto Menta, Francesco Cioni, Riccardo Aiudi +2 more·Mar 24, 2026
We introduce the concept of quantum actuators as mediators for globally controlled quantum computation. Auxiliary quantum systems act as controllable elements that transiently store and release interaction energy, enabling the selective activation of...
Autoencoder-based Optimization of Multi-user Molecule Mixture Communication Systems
Bastian Heinlein, Nuria Zurita Jiménez, Kaikai Zhu +4 more·Mar 24, 2026
In this paper, we introduce an autoencoder (AE)-based scheme for end-to-end optimization of a multi-user molecule mixture communication system. In the proposed scheme, each transmitter leverages an encoder network that maps the user symbol to a molec...