Papers

Haowei Xu, Wang Yao, Ju Li·Mar 7, 2026

The unique properties of two-dimensional moire systems have been widely studied from many perspectives. However, relatively little work has explored how the real space structure of the moire systems can directly engender novel properties and function...

Yuqi Zhang, Sixu Chen, Feixiong Cheng +1 more·Mar 7, 2026

Processing qubit Hamiltonians derived from electronic-structure problems can become classically prohibitive because many downstream manipulations still rely on dense operator constructions whose cost grows exponentially with qubit number. We introduc...

Viraaji Mothukuri, R. Parizi·Mar 7, 2026

This review examines how quantum computing and artificial intelligence challenge current cryptographic systems. We analyze the literature to assess the resilience of algorithms against quantum attacks (Shor's and Grover's algorithms) and AI-enhanced ...

Tianchu Li, Pranay Venkatesh, Qiang Shi +1 more·Mar 6, 2026

Collective light-matter systems host an extensive manifold of dark states whose role in the emergence of thermodynamic behavior remains poorly understood, especially in the presence of disorder and structured environments. Here, we develop a hybrid m...

Nitzan Kahn, Dror Garti, Uri Goldblatt +3 more·Mar 6, 2026

Characterizing noise in superconducting qubits is essential for improving coherence and gate performance. Conventional noise-sensing methods typically use the qubit itself as the sensor, which limits both accessible bandwidth and applicability during...

Émile Cochin, Jonathan Keeling, Brendon W. Lovett +1 more·Mar 6, 2026

Numerical methods for obtaining exact dynamics of non-Markovian open quantum systems are mostly limited to either small systems or to short-time evolution only. Here, we propose a new algorithm for computing process tensors--matrix product operator (...

Julia Liebert, Gregory D. Scholes·Mar 6, 2026

Quantum coherence and other non-classical features are widely discussed in chemical dynamics, yet it remains difficult to quantify when such resources are operationally relevant for a given process and observable. While quantum resource theories prov...

Ramesh Radhakrishnan, Gerald Cleaver, William Julius·Mar 6, 2026

Rotating traversable wormholes allow the effects of frame dragging and rotation to be studied in the absence of event horizons. We develop a quantum field theoretic treatment of massless scalar perturbations in the rotating Teo spacetime. This spacet...

Omid Khosravani, Guillermo Escobar-Arrieta, Kenneth R. Brown +1 more·Mar 6, 2026

We introduce heterogeneous quantum error-correcting codes composed of qubit types with distinct error channels and study their performance in the code-capacity regime using maximum-likelihood tensor network decoding. In the regime where both qubit ty...

Ekaterina Vlasiuk, Manfred Salmhofer, Eugene Demler +1 more·Mar 6, 2026

We investigate how the strong coupling of a superconductor to thermal bosons can enhance its superconducting critical temperature. To tackle this problem, we use a renormalization group approach that allows us to describe the competition between dens...

Oliver Janssen, Joel Karlsson, Flavio Riccardi +1 more·Mar 6, 2026

We present a formalism for semiclassical time evolution in quantum mechanics, building on a century of work. We identify complex saddle points in real time, real saddle points in complex time, and complex saddle points in complex time that reproduce ...

Marjorie Hoegen, René Glebke, M. Sahnawaz Alam +11 more·Mar 6, 2026

In modern power systems, edge devices serve as local hubs that collect data, perform on-site computing, sense electrical parameters, execute control actions, and communicate with neighboring edge devices as part of the larger grid. However, as the nu...

Giorgio Grigolo, Dorian Schiffer, Lukas Gerster +2 more·Mar 6, 2026

Analogously to classical computers, quantum processors exhibit side channels that may give attackers access to potentially proprietary algorithms. We identify and exploit a previously unexplored side channel in trapped-ion quantum processors that ari...

Shicheng Zhang, Aonan Zhang, Ilse Maillette de Buy Wenniger +5 more·Mar 6, 2026

Temporal modes of photons are a promising encoding scheme for high-dimensional quantum networks due to their high channel capacity and fiber compatibility. However, realizing their full potential requires devices capable of synchronizing, processing ...

Kübra Yeter-Aydeniz, Nora M. Bauer·Mar 6, 2026

We present a method for calculating the ground state energy of the Fermi-Hubbard model leveraging Rydberg atom processors and sample-based quantum diagonalization (SQD). By exploiting the perturbative relationship between the Fermi-Hubbard and Heisen...

Sitong Liu, John Stack, Ke Sun +5 more·Mar 6, 2026

Distributed quantum computing can potentially address the scalability challenge by networking processors through photon-mediated remote entanglement. Prior approaches assumed that remote Bell pairs require distillation, resulting in substantial overh...

Carlos Fulgado-Claudio, Daniel González-Cuadra, Jose Beltrán Jiménez +1 more·Mar 6, 2026

We propose a hybrid quantum-classical algorithm for the simulation of real-time dynamics in interacting quantum field theories coupled to classical fields, focusing on the self-consistent estimation of semiclassical backreaction. By discretizing spac...

Shuai Tang, Mingkai Gou, Yingzhou Hu +7 more·Mar 6, 2026

Field emission (FE) electron sources are made close to atomic-scale to reach the highest spatial resolution as well as stable emission for electron microscopy, electron beam inspection and lithography. At present, no single agreed method exists of us...

Ammar Fayad·Mar 6, 2026

Classical reverse diffusion is generated by changing the drift at fixed noise. We show that the quantum version of this principle obeys an exact law with a sharp phase boundary. For Gaussian pure-loss dynamics, the canonical model of continuous-varia...

Rodrigo Chaves, Kunal Kumar, Bruno Chagas +4 more·Mar 6, 2026

This paper investigates whether hybrid quantum-classical machine learning can deliver practical improvements in financial fraud detection performance for card-based and other payment transactions. Building on a Guided Quantum Compressor architecture,...