Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Universal Quantum Computation with Multi-Mode Schrödinger Cat States Stabilized by Non-Local Dissipation Engineering
Jesper Lind-Olsen, Jonas Lidal, Tron Omland +1 more·Jul 15, 2026
Schrödinger cat states provide a hardware-efficient platform for bosonic quantum error correction by encoding logical information in protected manifolds of harmonic oscillators. While previous work has demonstrated the dissipative stabilization of mu...
Temporal Fourier Optics Reveals Hidden Hybridized Light-Matter States
Juan-Feng Zhu, Wenjie Zhou, Shihao Feng +5 more·Jul 15, 2026
Spectral measurements provide fundamental insights into wave systems by revealing resonances, mode hybridization, and light-matter interactions. However, intrinsic dissipation and measurement-related spectral broadening often obscure the spectral sig...
Quantum observables for probabilistic classical particles
Christof Wetterich·Jul 15, 2026
The classical observables of position and momentum are not well adapted to particles in a microphysical situation where typical probability distributions are characterized by a substantial dispersion. We propose the use of more robust quantum observa...
A Reservoir Computing Approach to Quantum Gate Synthesis
Francesco Caravelli, Roberto Menta, Antonio Sannia·Jul 15, 2026
Quantum gate synthesis is essential for implementing quantum algorithms on real hardware, yet existing methods are often computationally demanding. Here, we introduce a novel approach based on reservoir computing, which we name Group Reservoir Comput...
Continuous limit of the square well problem in quantum mechanics
Matheus D. Moro, Thiago T. Tsutsui, Antonio S. M. de Castro +1 more·Jul 15, 2026
The free-particle and square-well potentials are two of the most emblematic problems in quantum mechanics, illustrating essential concepts such as matter waves, energy quantization, and bound states. It is therefore natural to consider how the free-p...
Phonon down-conversion by normal metals for superconducting devices
Guglielmo La Magna, Gianluigi Catelani·Jul 15, 2026
Thanks to low dissipation, superconducting devices are promising for a number of applications, such as detectors and implementations of quantum computation. However, their working can be adversely impacted by quasiparticles, which is why so-called qu...
A Lie-algebraic approach to non-Markovian quantum dynamics
Haijin Ding, Stephen S. -T. Yau, Zhiwen Zhang·Jul 15, 2026
In this paper, we study the non-Markovian quantum dynamics in quantum computations from the perspective of a Lie algebraic approach based on numerical analysis. By vectorizing the density matrix of quantum states, the non-Markovian evolutions can be ...
Quantum Topological Data Encoding
Adam Wesołowski, Dimitrios Thanos, Daniel Leykam +1 more·Jul 15, 2026
Many datasets encountered across a wide range of domains possess rich geometric and topological structure that is difficult to capture using conventional vector-based representations. Quantum machine learning offers the possibility of processing high...
Post-Critical Meson Dynamics of Kibble-Zurek Excitations in a 5,564-Qubit Quantum Annealer
Francis A. Bayocboc, Jacek Dziarmaga, Marek M. Rams +1 more·Jul 15, 2026
Quantum phase transitions provide a controlled route for generating many-body excitations, but the dynamics after the critical point can be as important as the initial defect creation. Recent progress in quantum annealing has made it possible to acce...
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...