Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum limit of precision for phase estimation in squeezing-enhanced interferometry with a single-mode readout
Dmitri B. Horoshko, Fedor Jelezko·Mar 8, 2026
We consider an optical interferometer with coherent light in one input and a squeezed vacuum in another. Such an interferometer is known to beat the standard quantum limit of sensitivity to the difference of phase shifts in its arms. We find the ulti...
Sharpening Worst-Case Error Assessment for Fault-Tolerant Quantum Computing: Fidelity and Its Deviation
Kyoungho Cho, Ilkwon Sohn, Yongsoo Hwang +1 more·Mar 8, 2026
Gate fidelity -- an average fidelity over all possible input states -- is the workhorse metric for benchmarking quantum gates or circuits, yet fault-tolerant quantum computing ultimately depends on the worst-case behavior, typically quantifiable by s...
Optimal multiparameter quantum estimation in accelerating Unruh-DeWitt detectors
Omar Bachain, Elhabib Jaloum, Mohamed Amazioug +3 more·Mar 8, 2026
The quantum Fisher information matrix (QFIM) is central to multiparameter quantum metrology, dictating the attainable sensitivity via the quantum Cramér-Rao bound. In this work, we investigate the ultimate precision limits for relativistic quantum th...
paces: Parallelized Application of Co-Evolving Subspaces, a method for computing quantum dynamics on GPUs
R. Kevin Kessing·Mar 7, 2026
An efficient method of computing the dynamics of a pure quantum state under the time-dependent Schrödinger equation is described: At each timestep, a restricted subspace of the potentially infinite-dimensional total Hilbert space is systematically an...
Impact of Layer Structure and Strain on Morphology and Electronic Properties of InAs Quantum Wells on InP (001)
Zijin Lei, Yuze Wu, Christian Reichl +2 more·Mar 7, 2026
High-quality InAs quantum wells grown on InP are a promising platform for topological quantum information processing due to their large g-factor, strong Rashba spin-orbit interaction, and their compatibility with in-situ-deposited superconductors. In...
Long-time storage of entangled logical states in decoherence-free subspaces
L. Zhang, Y. -L. Xu, Y. -K. Wu +11 more·Mar 7, 2026
The maintenance of quantum entanglement lays the elementary building block of quantum information processing, requiring an integration of long coherence time, sufficient storage capacity, and high-fidelity entangling gates. Here we encode two-qubit e...
Efficiently Learning Global Quantum Channels with Local Tomography
Zidu Liu, Dominik S. Wild·Mar 7, 2026
Scalable characterization of quantum processors is crucial for mitigating noise and imperfections. While randomized measurement protocols enable efficient access to local observables, inferring a globally consistent description of multi-qubit process...
Heterogeneous quantum error-correcting codes
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...
Quantum Technologies and Edge Devices in Electrical Grids: Opportunities, Challenges, and Future Directions
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...
Radio-Frequency Side-Channel Analysis of a Trapped-Ion Quantum Computer
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...
An Atomic Interface for High-Dimensional Temporal Mode Quantum Networks
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 ...
A persistent-current-biased and current-actuated switch for superconducting circuits
Ziyi Zhao, Eva Gurra, Michael R. Vissers +1 more·Mar 6, 2026
Broadband and low-loss superconducting switches can facilitate large-scale quantum information processors and cryogenic detectors by dynamically reconfiguring the connectivity of their circuits. The time dependent connectivity is enabled by the nonli...
Entanglement is not sufficient for most practical entanglement-based QKD protocols
Shubhayan Sarkar, Tushita Prasad, Karol Horodecki·Mar 6, 2026
Quantum key distribution (QKD) is the most explored application of quantum information theory. A central problem in entanglement-based QKD (EB-QKD), is whether every entangled state can be used to extract a key. We observe that entanglement is not su...
Belief-Adaptive MAP Detection for Molecular ISI Channels with Heteroscedastic Noise
Erencem Ozbey, H. Birkan Yilmaz, Chan-Byoung Chae·Mar 6, 2026
Inter-symbol interference (ISI) with heteroscedastic, or state-dependent, noise is a defining feature of molecular communication via diffusion (MCvD). However, such noise variance dependency across ISI states has not been systematically considered in...
Implementation of Quantum Implicit Neural Representation in Deterministic and Probabilistic Autoencoders for Image Reconstruction/Generation Tasks
Saadet Müzehher Eren·Mar 6, 2026
We propose a quantum implicit neural representation (QINR)-based autoencoder (AE) and variational autoencoder (VAE) for image reconstruction and generation tasks. Our purpose is to demonstrate that the QINR in VAEs and AEs can transform information f...
Characterizing Noise Effects on Multipartite Entanglement via Phase-Space Visualization
B Nithya Priya, S. Saravana Veni, Araceli Venegas-Gomez +1 more·Mar 6, 2026
This paper investigates the behavior of two fundamental types of multipartite entangled states, namely GHZ(3) and W(3) states under Gaussian-distributed amplitude perturbations and White noise model. The Uhlmann-Jozsa fidelity is taken to be the quan...
Heterogeneous entanglement between a trapped ion and a solid-state quantum memory
Chen-Xu Wang, Yi-Yang Wang, Tian-Xiang Zhu +11 more·Mar 6, 2026
Hybrid quantum networks offer a promising architecture for scalable quantum information processing and a future quantum internet, as they can combine the complementary strengths of disparate physical platforms. While single-atom systems provide deter...
An Optimization Framework for Monitor Placement in Quantum Network Tomography
Athira Kalavampara Raghunadhan, Matheus Guedes De Andrade, Don Towsley +3 more·Mar 6, 2026
Quantum Network Tomography (QNT) offers a framework for end-to-end quantum channel characterization by strategically placing monitor nodes within the network. Building upon prior work on single-monitor placement, we study optimal monitor placement an...
Matchgate circuit representation of fermionic Gaussian states: optimal preparation, approximation, and classical simulation
Marc Langer, Raúl Morral-Yepes, Adam Gammon-Smith +2 more·Mar 5, 2026
Fermionic Gaussian states (FGSs) and the associated matchgate circuits play a central role in quantum information theory and condensed matter physics. Despite being possibly highly entangled, they can still be efficiently simulated on classical compu...
Ramsey correlation spectroscopy with phase cycling using a single quantum sensor
Inbar Zohar, Santiago Oviedo-Casado, Andrej Denisenko +2 more·Mar 5, 2026
Magnetic spectroscopy at the nanoscale provides unique insights into material properties and dynamics, with quantum sensors like nitrogen-vacancy (NV) centers being ideally suited for these scales. However, detecting low-frequency signals remains a c...