Papers
Live trends in quantum computing research, updated daily from arXiv.
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Lower bounds on the complexity of preparing mixed states
Max McGinley, Samuel J. Garratt·Oct 2, 2025
We establish a relationship between the correlations in a many-qubit mixed state and the minimum circuit depth needed for its preparation. If the mutual information between two subsystems exceeds the mutual information between one of those subsystems...
Quantum gates in coupled quantum dots controlled by coupling modulation
Alejandro D. Bendersky, Sergio S. Gomez, Rodolfo H. Romero·Oct 2, 2025
We studied the dynamics of a pair of single-electron double quantum dots (DQD) under longitudinal and transverse static magnetic fields and time-dependent harmonic modulation of their interaction couplings. We propose to modulate the tunnel coupling ...
Reproducible Builds for Quantum Computing
Iyán Méndez Veiga, Esther Hänggi·Oct 2, 2025
Reproducible builds are a set of software development practices that establish an independently verifiable path from source code to binary artifacts, helping to detect and mitigate certain classes of supply chain attacks. Although quantum computing i...
The (PXP)$^2$ model: long-range quantum scars in optical cavities
Hossein Hosseinabadi, Riccardo J. Valencia-Tortora, Aleksandr N. Mikheev +4 more·Oct 2, 2025
Rydberg-cavity systems are emerging as promising platforms for quantum simulation and quantum information processing. These hybrid architectures combine two complementary interaction mechanisms: cavity photons mediate collective long-range couplings,...
Emergent Hierarchy in Localized States of Organic Quantum Chains
L. L. Lage, A. B. Félix, D. S. Gomes +2 more·Oct 2, 2025
Organic Quantum Chains (OQCs) represent a newly synthesized class of carbon-based nanostructures whose quasi-one-dimensional nature gives rise to unconventional electronic and transport phenomena. Here we investigate the electronic and transport prop...
Quantum Fisher information matrices from Rényi relative entropies
Mark M. Wilde·Oct 2, 2025
Quantum generalizations of the Fisher information are important in quantum information science, with applications in high energy and condensed matter physics and in quantum estimation theory, machine learning, and optimization. One can derive a quant...
Chaotic many-body quantum dynamics, spectral correlations, and energy diffusion
J. T. Chalker, Dominik Hahn·Oct 2, 2025
We study chaotic many-body quantum dynamics in a minimal model with spatial structure and local interactions. It has a time-independent Hamiltonian, in contrast to quantum circuits and Brownian models, and is simple at the single-site level, in contr...
A quantum analogue of convex optimization
Eunou Lee·Oct 2, 2025
Convex optimization is the powerhouse behind the theory and practice of optimization. We introduce a quantum analogue of unconstrained convex optimization: computing the minimum eigenvalue of a Schrödinger operator $h = -Δ+ V $ with convex potential ...
Quantum speed-up for solving the one-dimensional Hubbard model using quantum annealing
Kunal Vyas, Fengping Jin, Hans De Raedt +1 more·Oct 2, 2025
The Hubbard model has occupied the minds of condensed matter physicists for most part of the last century. This model provides insight into a range of phenomena in correlated electron systems. We wish to examine the paradigm of quantum algorithms for...
Realism and the Inequivalence of the Two Quantum Pictures
Charles Alexandre Bédard·Oct 2, 2025
The standard claim that the Schrödinger and Heisenberg pictures of quantum mechanics are equivalent rests on the fact that they yield identical empirical predictions. This equivalence therefore assumes the instrumentalist worldview in which theories ...
Optimizing fermionic Hamiltonians with classical interactions
Maarten Stroeks, Barbara M. Terhal, Yaroslav Herasymenko·Oct 2, 2025
We consider the optimization problem (ground energy search) for fermionic Hamiltonians with classical interactions. This QMA-hard problem is motivated by the Coulomb electron-electron interaction being diagonal in the position basis, a fundamental fa...
Resource theory of asymmetric distinguishability with partial information
Siqi Yao, Kun Fang·Oct 2, 2025
Recent studies have introduced the worst-case quantum divergence as a key measure in quantum information. Here we show that such divergences can be understood from the perspective of the resource theory of asymmetric distinguishability, which utilize...
Improving neural network performance for solving quantum sign structure
Xiaowei Ou, Tianshu Huang, Vidvuds Ozolins·Oct 2, 2025
Neural quantum states have emerged as a widely used approach to the numerical study of the ground states of non-stoquastic Hamiltonians. However, existing approaches often rely on a priori knowledge of the sign structure or require a separately pre-t...
Critical Quantum Sensing: a tutorial on parameter estimation near quantum phase transitions
George Mihailescu, Uesli Alushi, Roberto Di Candia +2 more·Oct 2, 2025
Quantum phenomena offer the possibility of measuring physical quantities with precision beyond classical limits. However, current progress is constrained by scalability, environmental noise, and challenges in practical integration. This highlights th...
Understanding Quantum Imaginary Time Evolution and its Variational form
Andreu Anglés-Castillo, Luca Ion, Tanmoy Pandit +3 more·Oct 2, 2025
Many computationally hard problems can be encoded in quantum Hamiltonians. The solution to these problems is given by the ground states of these Hamiltonians. A state-of-the-art algorithm for finding the ground state of a Hamiltonian is the so-called...
Fiber-integrated NV Magnetometer with Microcontroller-based Software Lock-in Technique
Qilong Wu, Xuan-Ming Shen, Yuan Zhang +9 more·Oct 2, 2025
Fiber-integrated nitrogen-vacancy (NV) magnetometers possess high sensitivity, integration, and flexibility, and thus have been explored extensively for industrial applications. While most studies have focused on the optimization of the quantum sensi...
HIV-1 protease cleavage sites detection with a Quantum convolutional neural network algorithm
Junggu Choi, Junho Lee, Kyle L. Jung +1 more·Oct 2, 2025
In this study, we propose a quantum convolutional neural network (QCNN)-based framework with the neural quantum embedding (NQE) to predict HIV-1 protease cleavage sites in amino acid sequences from viral and human proteins. To assess the effectivenes...
Quantum dissipative effects for a real scalar field coupled to a dynamical Neumann surface in d+1 dimensions
C. D. Fosco, B. C. Guntsche·Oct 2, 2025
We study dissipative effects for a system consisting of a massless real scalar field satisfying Neumann boundary conditions on a space and time-dependent surface, in d+1 dimensions. We focus on the comparison of the results for this system with the o...
Digital quantum simulation of many-body localization crossover in a disordered kicked Ising model
Tomoya Hayata, Kazuhiro Seki, Seiji Yunoki·Oct 2, 2025
Simulating nonequilibrium dynamics of quantum many-body systems is one of the most promising applications of quantum computers. However, a faithful digital quantum simulation of the Hamiltonian evolution is very challenging in the present noisy quant...
Formal Framework for Quantum Advantage
Harry Buhrman, Niklas Galke, Konstantinos Meichanetzidis·Oct 2, 2025
Motivated by notions of quantum heuristics and by average-case rather than worst-case algorithmic analysis, we define quantum computational advantage in terms of individual problem instances. Inspired by the classical notions of Kolmogorov complexity...