Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
28,188
This Month
0
Today
0
Research Volume
13,363 papers in 12 months (+7% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Geometric foundations of thermodynamics in the quantum regime
Álvaro Tejero, Martín de la Rosa·Nov 13, 2025
In this work, we present a geometrical formulation of quantum thermodynamics based on contact geometry and principal fiber bundles. The quantum thermodynamic state space is modeled as a contact manifold, with equilibrium Gibbs states forming a Legend...
First and second quantized digital quantum simulations of bosonic systems
Mathias Mikkelsen, Hubert Okadome Valencia·Nov 13, 2025
We compare the basic resource requirements for first and second quantized bosonic mappings in a system consisting of $N$ particles in $M$ modes. In addition to the standard binary first quantized mapping, we investigate the unary first quantized mapp...
Robust Entanglement Dynamics in Driven Open Quantum Systems
Aqsa Mushtaq, Chaimae Banouni, Mahboob Ul Haq +1 more·Nov 13, 2025
We investigate the dynamics of key quantum correlations - Negativity (NG), Quantum Discord (QD), and Quantum-Memory-Assisted Entropic Uncertainty (QM-EUR) - in a bipartite two-qubit system under the influence of external pulses and various decoherenc...
Limitations of Quantum Advantage in Unsupervised Machine Learning
Apoorva D. Patel·Nov 13, 2025
Machine learning models are used for pattern recognition analysis of big data, without direct human intervention. The task of unsupervised learning is to find the probability distribution that would best describe the available data, and then use it t...
Enantiodetection in a cavity QED setup with finite chiral molecules
Xiang Guo, Xiaojun Zhang, Yong Li +1 more·Nov 13, 2025
We investigate enantiodetection for both a single cyclic three-level chiral molecule and finite ensembles of such molecules by monitoring the steady-state intracavity photon number in a cavity-QED platform. Our scheme exploits the intrinsic global $π...
Interaction as Interference: A Quantum-Inspired Aggregation Approach
Pilsung Kang·Nov 13, 2025
Classical approaches often treat interaction as engineered product terms or as emergent patterns in flexible models, offering little control over how synergy or antagonism arises. We take a quantum-inspired view: following the Born rule (probability ...
Improved coherence time of a non-Hermitian qubit in a $\mathcal{PT}$-symmetric Environment
Duttatreya, Ipsika Mohanty, Sanjib Dey·Nov 13, 2025
Quantum computing's potential for exponential speedup is fundamentally limited by decoherence, a phenomenon arising from environmental interactions. Non-Hermitian quantum mechanics, particularly $PT$-symmetric systems, offers a novel framework for ex...
Reusability Report: Optimizing T-count in General Quantum Circuits with AlphaTensor-Quantum
Remmy Zen, Maximilian Nägele, Florian Marquardt·Nov 13, 2025
Quantum computing has the potential to solve problems that are intractable for classical computers, with possible applications in areas such as drug discovery and high-energy physics. However, the practical implementation of quantum computation is hi...
SeQuant Framework for Symbolic and Numerical Tensor Algebra. I. Core Capabilities
Bimal Gaudel, Robert G. Adam, Ajay Melekamburath +5 more·Nov 13, 2025
SeQuant is an open-source library for symbolic algebra of tensors over commutative (scalar) and non-commutative (operator) rings. The key innovation supporting most of its functionality is a graph-theoretic tensor network (TN) canonicalizer that can ...
Provably Efficient Quantum Algorithms for Solving Nonlinear Differential Equations Using Multiple Bosonic Modes Coupled with Qubits
Yu Gan, Hirad Alipanah, Jinglei Cheng +7 more·Nov 13, 2025
Quantum computers have long been expected to efficiently solve complex classical differential equations. Most digital, fault-tolerant approaches use Carleman linearization to map nonlinear systems to linear ones and then apply quantum linear-system s...
Quantum Phase Gradient Imaging Using a Nonlocal Metasurface System
Jinliang Ren, Jinyong Ma, Katsuya Tanaka +4 more·Nov 13, 2025
Quantum phase imaging enables the analysis of transparent samples with thickness and refractive index variations in scenarios requiring precise measurements under low-light conditions. Here, we present a compact quantum phase-gradient imaging system ...
Quantum Period-Finding using One-Qubit Reduced Density Matrices
Marco Bernardi·Nov 13, 2025
The quantum period-finding (QPF) algorithm can compute the period of a function exponentially faster than the best-known classical algorithm. In standard QPF, the output state has a primary contribution from $r$ high-probability bit strings, where $r...
Learning of Statistical Field Theories
Shreya Shukla, Abhijith Jayakumar, Andrey Y. Lokhov·Nov 13, 2025
Recovering microscopic couplings directly from data provides a route to solving the inverse problem in statistical field theories, one that complements the traditional-often computationally intractable-forward approach of predicting observables from ...
Discrete Time Crystals in Noninteracting Dissipative Systems
Gourab Das, Saptarshi Saha, Rangeet Bhattacharyya·Nov 13, 2025
Many-body quantum systems, under suitable conditions, exhibit time-translation symmetry breaking and settle in a discrete time crystalline (DTC) phase -- an out-of-equilibrium quantum phase of matter. The defining feature of DTC is a robust subharmon...
Mapping Game Theory to Quantum Systems: Nash Equilibria via Neutral Atom Computing
Giovanni Ferrannini, Dario di Gregorio, Federico Fissore·Nov 13, 2025
Nash equilibria are crucial for understanding game behavior and systems in economics, physics, biology, and computer science. A significant application arises from the connection between Nash equilibria and optimization problems . However, finding Na...
Hybrid Quantum-Classical Machine Learning with PennyLane: A Comprehensive Guide for Computational Research
S. Shapiro·Nov 13, 2025
Hybrid quantum-classical machine learning represents a frontier in computational research, combining the potential advantages of quantum computing with established classical optimization techniques. PennyLane provides a Python framework that seamless...
Uncovering and Circumventing Noise in Quantum Algorithms via Metastability
Antonio Sannia, Pratik Sathe, Luis Pedro García-Pintos·Nov 12, 2025
The presence of noise is the primary challenge in realizing fault-tolerant quantum computers. In this work, we introduce and experimentally validate a novel strategy to circumvent noise by exploiting the phenomenon of metastability, where a dynamical...
On the Classical Shadow Nonparametric Bootstrap
Eric Ghysels, Jack Morgan·Nov 12, 2025
Classical shadows are an efficient method for constructing an approximate classical description of a quantum state using very few measurements. In the paper we propose to enhance classical shadow methods using bootstrap resampling methods. We apply n...
Local arrows of time in quantum many-body systems
Andrew G. Yates, Jordan Cotler, Nishad Maskara +1 more·Nov 12, 2025
We demonstrate that in quantum many-body systems, local arrows of time can differ from the global time $t$ induced by Hamiltonian evolution. That is, within a quantum many-body system, the flow of time can be relative to each observer or by proxy eac...
Orbital-Optimized Unitary Coupled Cluster for Indirect Nuclear Spin-Spin Coupling Constants within a Quantum Linear Response Framework
Juliane H. Fuglsbjerg, Peter Reinholdt, Erik Kjellgren +4 more·Nov 12, 2025
We present a quantum linear response (qLR) approach within an active-space framework for computing indirect nuclear spin-spin coupling constants, a key ingredient in NMR spectra predictions. The method employs the unitary coupled cluster (UCC) ansatz...