Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Reinforcement Learning for Quantum Network Control with Application-Driven Objectives
Guo Xian Yau, Alexandra Burushkina, Francisco Ferreira da Silva +3 more·Sep 12, 2025
Optimized control of quantum networks is essential for enabling distributed quantum applications with strict performance requirements. In near-term architectures with constrained hardware, effective control may determine the feasibility of deploying ...
Quantum algorithms based on quantum trajectories
Evan Borras, Milad Marvian·Sep 12, 2025
Quantum simulation has emerged as a key application of quantum computing, with significant progress made in algorithms for simulating both closed and open quantum systems. The simulation of open quantum systems, particularly those governed by the Lin...
Witt Groups and Bulk-Boundary Correspondence for Stabilizer States
Błażej Ruba, Bowen Yang·Sep 12, 2025
We establish a bulk--boundary correspondence for translation-invariant stabilizer states in arbitrary spatial dimension, formulated in the framework of modules over Laurent polynomial rings. To each stabilizer state restricted to half-space geometry ...
Most incompatible measurements and sum-of-squares optimisation
Sébastien Designolle·Sep 12, 2025
Measurement incompatibility, or joint measurability, is a cornerstone of quantum theory and a useful resource. For finite-dimensional systems, quantifying this resource and establishing universal bounds valid for all measurements is a long-standing p...
Beam-splitter-free, high-rate quantum key distribution inspired by intrinsic quantum mechanical spatial randomness of entangled photons
Ayan Kumar Nai, Gopal Prasad Sahu, Rutuj Gharate +2 more·Sep 12, 2025
Quantum key distribution (QKD) using entangled photon sources (EPS) is a cornerstone of secure communication. Despite rapid advances in QKD, conventional protocols still employ beam splitters (BSs) for passive random basis selection. However, BSs int...
Symplectic Lattices and GKP Codes -- Simple Randomized Constructions from Cryptographic Lattices
Johannes Blömer, Yinzi Xiao, Zahra Raissi +1 more·Sep 12, 2025
We construct good GKP (Gottesman-Kitaev-Preskill) codes (in the sense of Conrad, Eisert and Seifert proposed) from standard short integer solution lattices (SIS) as well as from ring SIS and module SIS lattices, R-SIS and M-SIS lattices, respectively...
Statistical Quantum Mechanics of the Random Permutation Sorting System (RPSS): A Self-Stabilizing True Uniform RNG
Randy Kuang·Sep 12, 2025
We present the Random Permutation Sorting System (RPSS), a novel framework for true uniform randomness generation grounded in statistical quantum mechanics. RPSS is built on a pair of conjugate observables, the permutation count and the elapsed sorti...
Coarse-Grained Fixed-Point Tensor Networks and Holographic Reflected Entropy in 3D Gravity
Ning Bao, Jinwei Chu, Yikun Jiang +1 more·Sep 12, 2025
We use the framework of $\textit{fixed-point BCFT tensor networks}$ to present a microscopic CFT derivation of the correspondence between reflected entropy (RE) and entanglement wedge cross section (EW) in AdS$_3$/CFT$_2$, for both bipartite and mult...
Fluctuation-guided adaptive random compiler for Hamiltonian simulation
Yu-Xia Wu, Yun-Zhuo Fan, Dan-Bo Zhang·Sep 12, 2025
Stochastic methods offer an effective way to suppress coherent errors in quantum simulation. In particular, the randomized compilation protocol may reduce circuit depth by randomly sampling Hamiltonian terms rather than following the deterministic Tr...
Optimizing Inter-chip Coupler Link Placement for Modular and Chiplet Quantum Systems
Zefan Du, P. Flores, Wenqi Wei +3 more·Sep 12, 2025
Quantum computing offers unparalleled computational capabilities but faces significant challenges, including limited qubit counts, diverse hardware topologies, and dynamic noise and error rates, which hinder scalability and reliability. Distributed q...
Boosting Sparsity in Graph Decompositions with QAOA Sampling
George Pennington, Naeimeh Mohseni, Oscar Wallis +5 more·Sep 12, 2025
We study the problem of decomposing a graph into a weighted sum of a small number of matchings, a task that arises in network resource allocation problems such as peer-to-peer energy exchange. Computing such decompositions is challenging for classica...
A Symmetry-Integrated Approach to Surface Code Decoding
Hoshitaro Ohnishi, Hideo Mukai·Sep 12, 2025
Quantum error correction, which utilizes logical qubits that are encoded as redundant multiple physical qubits to find and correct errors in physical qubits, is indispensable for practical quantum computing. Surface code is considered to be a promisi...
Toward Minimum Graphic Parity Networks
Yixin Cao, Yiren Lu, Junhong Nie +2 more·Sep 12, 2025
Quantum circuits composed of CNOT and $R_z$ are fundamental building blocks of many quantum algorithms, so optimizing the synthesis of such quantum circuits is crucial. We address this problem from a theoretical perspective by studying the graphic pa...
Exact Classicalization of N-Level Quantum Systems Interacting with a Bath: Theory and Applications
Daniel Mart'inez-Gil, P. Bargueño, Salvador Miret-Art'es·Sep 12, 2025
In this manuscript, starting from a five-step algorithmic procedure for exactly classicalizing the dynamics of N-level quantum systems, we incorporate a classical bath of harmonic oscillators to model environmental interactions. Using the geometry of...
Perfect pure quantum state transfer via state restoring and ancilla measurement
E. B. Fel’dman, J. Wu, A. Zenchuk·Sep 12, 2025
We propose the protocol for perfect state transfer of an arbitrary pure quantum state along the spin-1/2 chain governed by the Hamiltonian preserving the excitation number in the system. We show that the $k$-excitation pure sender's state can be rest...
Loss Behavior in Supervised Learning With Entangled States
Alexander Mandl, Johanna Barzen, Marvin Bechtold +2 more·Sep 12, 2025
Quantum machine learning (QML) aims to leverage the principles of quantum mechanics to speed up the process of solving machine learning problems or improve the quality of solutions. In supervised learning, training samples that are entangled with a...
Wafer-Scale Squeezed-Light Chips
Shuai Liu, Kailu Zhou, Yuheng Zhang +4 more·Sep 12, 2025
Squeezed-light generation in photonic integrated circuits (PICs) is essential for scalable continuous-variable (CV) quantum information processing. By suppressing quantum fluctuations below the shot-noise limit, squeezed states enable quantum-enhance...
Explaining the Reputational Risks of AI-Mediated Communication: Messages labeled as AI-assisted are viewed as less diagnostic of the sender's moral character
Pranav Khadpe, Kimi Wenzel, George Loewenstein +1 more·Sep 11, 2025
When someone sends us a thoughtful message, we naturally form judgments about their character. But what happens when that message carries a label indicating it was written with the help of AI? This paper investigates how the appearance of AI assistan...
Quantum signatures of proper time in optical ion clocks
Gabriel Sorci, Joshua Foo, Dietrich Leibfried +2 more·Sep 11, 2025
Optical clocks based on atoms and ions probe relativistic effects with unprecedented sensitivity by resolving time dilation due to atom motion or different positions in the gravitational potential through frequency shifts. However, all measurements o...
Entanglement phases and phase transitions in monitored free fermion system due to localizations
Yu-Jun Zhao, Xuyang Huang, Yi-Rui Zhang +2 more·Sep 11, 2025
In recent years, the presence of local potentials has significantly enriched and diversified the entanglement patterns in monitored free fermion systems. In our approach, we employ the stochastic Schrödinger equation to simulate a one-dimensional spi...