Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Wireless millikelvin interconnects for superconducting quantum hardware
Kristopher Barr, Mingyan Zhong, Euan Parry +8 more·Jul 15, 2026
Scalable quantum computing is limited by the dense network of electrical interconnects linking cryogenic quantum processors to room-temperature control electronics. To overcome this bottleneck, considerable effort has focused on cryogenic CMOS electr...
Inherent interpretability provides inherent value in quantum machine learning
Kaitlin Gili, Zachary P. Bradshaw·Jul 15, 2026
The field of quantum machine learning (QML) evolved to value models believed to most directly rival those providing utility in classical ML, namely large-scale neural networks. Although more recently, classical ML has been learning a hard lesson with...
Quantum Algorithm for Elliptic Curve Discrete Logarithms with Space-Efficient Point Addition
Han Luo, Ziyi Yang, Jingquan Luo +5 more·Jul 15, 2026
The Elliptic Curve Discrete Logarithm Problem (ECDLP) is a fundamental problem in cryptography, and reducing the resource requirements of quantum algorithms for solving ECDLP is an important goal. In this work, we present a space-efficient quantum al...
Markovian evolution from a novel scheme
Fardin Kheirandish, Zahra Iranshahi, Fatemeh Bakhtiari +1 more·Jul 15, 2026
The Markovian dynamics of open quantum many-body systems are typically governed by the Lindblad master equation, yet obtaining the reduced density matrix for bosonic and fermionic systems remains a formidable numerical challenge due to the exponentia...
Bridging Frustration and Non-Hermiticity via COMPASS: An Adaptive Biorthogonal Neural Quantum State Framework
Lavoisier Wah, Flore K. Kunst, Mohamed Hibat-Allah·Jul 15, 2026
In this work, we introduce a complementary optimization method for progressive and adaptive state search (COMPASS) based on biorthogonal adaptive recurrent neural quantum states. Our approach combines an adaptive autoregressive architecture with a bi...
Foliated Quantum Error Correction for Qudits
Gözde Üstün, Simon J. Devitt, Jason Saied·Jul 15, 2026
We present a framework for foliating any Pauli-based quantum error-correcting code over prime-dimensional qudits. For any such code, we obtain a qudit graph state that can be measured to perform fault-tolerant measurement-based quantum computing. Suc...
A phase transition in the exactness of the NPA hierarchy at the critical doubly-tilted CHSH functional
Anton Pakhunov·Jul 15, 2026
Gigena et al. [npj Quantum Inf. 11, 82 (2025)] proved the exact quantum maximum of the doubly-tilted CHSH functional $B_{αβ}=α\langle A_0\rangle+β\langle B_0\rangle+\mathrm{CHSH}$ and observed that the NPA level required to reach it grows without evi...
Transducer leakage error suppression using invariant-based shortcut
Shi-Qiang Qiao, Zheng Shan, Xue-Ke Song +3 more·Jul 15, 2026
We present a method for suppressing transducer leakage errors in spin-superconducting hybrid quantum systems with the theory of optimal invariant-based shortcut. By mediated virtual photons as a transducer to exchange the energy between the spin qubi...
No finite level of the NPA hierarchy is exact for the doubly-tilted CHSH functional near the critical tilt
Anton Pakhunov·Jul 15, 2026
Gigena, Panwar, Scala, Araujo, Farkas and Chaturvedi [npj Quantum Inf. 11, 82 (2025)] determined the quantum maximum of the doubly-tilted CHSH functionals, observed that the Navascues-Pironio-Acin level needed for exactness grows without evident boun...
Precoding-based protocols for entanglement assisted linear computation over a quantum many-to-one network
Ruoyu Meng, Aditya Ramamoorthy·Jul 15, 2026
In this work, we consider the problem of computing a linear combination over a noiseless quantum many-to-one network. There are $k$ senders, Alice$_1$, $\ldots$, Alice$_k$, and a single receiver, Bob. Each Alice$_i$ has a data vector $W_i \in \mathbb...
An exact algorithm for U(N) matrix models in the gauge-invariant singlet sector
Enrico M. Brehm, Jean Cazalis·Jul 15, 2026
Matrix models appear as fundamental descriptions of M-theory and D-brane dynamics, and via the gauge/gravity duality their gauge-invariant, or singlet, sector describes the purely gravitational degrees of freedom in the holographic dual. We present a...
Towards quantum machine learning for assessing the resilience of post-quantum cryptography
Jarosław A. Miszczak·Jul 15, 2026
The potential capabilities of quantum computers motivated the development of cryptographic protocols suitable for securing communication against adversaries with access to large fault-tolerant quantum computers. However, even though current quantum c...
Machine learning development for quantum computing and neutrino physics
Annalisa De Lorenzis·Jul 15, 2026
This thesis investigates the application of machine-learning methods in the context of quantum computing and neutrino physics, with particular emphasis on the construction of effective representations for complex, high-dimensional data. The first par...
Direct observation of photon-induced vortices in superconducting films
Takeshi Jodoi, Fuminori Hirayama, Tetsuya Tsuruta +2 more·Jul 15, 2026
Nucleation of vortex-antivortex pairs (VAPs) is believed to play a central role in the photon detection mechanism of superconducting detectors; however, their direct dynamic observation has remained challenging. Here, we report the direct observation...
Effects of coherent and incoherent measurement imperfections on multipartite quantum nonlocality and quantum key distribution
Qiong Wang, Wen-Long Qiao, Qing Chen +1 more·Jul 15, 2026
Multipartite Bell nonlocality is a central resource for device-independent quantum information protocols, but its practical certification is inevitably affected by imperfect measurements. We analyze how coherent angular misalignment and incoherent ou...
Evaluating Encoding Strategies for Closed-Loop Classification in Biological Neural Networks
Martin Schottlender, Veronika Volkova, Pengjie Zhou +3 more·Jul 15, 2026
Interfacing with Biological Neural Networks (BNNs) requires encoding information into stimulation patterns that can be effectively processed and that enable the underlying system to adapt. Nevertheless, the role of stimulation encoding remains poorly...
The potential of quantum computers for Particle Image Velocimetry
Philipp Pfeffer, Theo Käufer, Julia Ingelmann +2 more·Jul 15, 2026
Particle Image Velocimetry (PIV) is the prime image-processing technique to measure and visualize velocity fields of laminar and turbulent flows. The velocity field vectors are obtained with sub-pixelaccuracy by analyzing cross-correlations, empowere...
Separating Geometry From Interference in Constrained Quantum Optimization
Chinonso Onah, Stuart Hadfield, Kristel Michielsen·Jul 15, 2026
We study the separation of geometric effects from quantum interference in quantum optimization algorithms. Constrained optimization problems such as routing, assignment, and scheduling are often encoded as product spaces of local variables, together ...
Filon Methods for Highly Oscillatory Controlled Quantum Systems
Spencer Lee, Daniel Appelö·Jul 15, 2026
Fast and accurate classical simulation of quantum systems is a central challenge in the design and control of quantum computers, but the highly oscillatory dynamics of these systems severely limit the efficiency of standard numerical methods. To addr...
Tensor Network decoding under inter-qubit correlated errors
Yue Yan, SiYing Wang, ZhiXin Xia +3 more·Jul 15, 2026
The maximum likelihood decoder based on tensor networks has proven highly successful for the 2D surface code, achieving the optimal decoding success rate. However, existing tensor network decoders are typically designed for independent single-qubit e...