Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum entanglement of Hawking-Partner modes in expanding cavities
José Manuel Montes-Armenteros, Javier Olmedo·Aug 1, 2025
This article investigates quantum entanglement generated within a one-dimensional cavity where one boundary undergoes prescribed acceleration, a setup designed to mimic aspects of Hawking radiation. We quantify quantum correlations using logarithmic ...
Entangling Power and Its Deviation: A Quantitative Analysis on Input-State Dependence and Variability in Entanglement Generation
Kyoungho Cho, Jeongho Bang·Aug 1, 2025
Quantifying the entangling capability of quantum operations is a fundamental task in quantum information science. Traditionally, this capability is measured by the entangling power (EP), defined as the average entanglement generated when a quantum op...
Magic States in the Asymmetric Quantum Rabi Model
A. Campos-Uscanga, E. Rodr'iguez, E. Mart'inez +1 more·Aug 1, 2025
Magic or non-stabilizerness is a resource for quantum computing that has been extensively studied in qudit networks. It describes the degree to which Clifford gates cannot generate a given state, capturing the advantage of quantum over classical comp...
Evaluating Angle and Amplitude Encoding Strategies for Variational Quantum Machine Learning: their impact on model's accuracy
A. Tudisco, Andrea Marchesin, Maurizio Zamboni +2 more·Aug 1, 2025
Recent advancements in Quantum Computing and Machine Learning have increased attention to Quantum Machine Learning (QML), which aims to develop machine learning models by exploiting the quantum computing paradigm. One of the widely used models in thi...
Towards Efficient Verification of Computation in Quantum Devices
Keren Li, Peng Yan, Hanru Jiang +1 more·Aug 1, 2025
Designing quantum processors is a complex task that demands advanced verification methods to ensure their correct functionality. However, traditional methods of comprehensively verifying quantum devices, such as quantum process tomography, face signi...
Emergent Bifurcations in Quantum Circuit Stability from Hidden Parameter Statistics
Pilsung Kang·Aug 1, 2025
The compression of quantum circuits is a foundational challenge for near-term quantum computing, yet the principles governing circuit stability remain poorly understood. We investigate this problem through a large-scale numerical analysis of 300 stru...
Swap Network Augmented Ansätze on Arbitrary Connectivity
Teodor Parella-Dilmé, Jakob S. Kottmann, Antonio Acín·Jul 31, 2025
Efficient parametrizations of quantum states are essential for trainable hybrid classical-quantum algorithms. A key challenge in their design consists in adapting to the available qubit connectivity of the quantum processor, which limits the capacity...
Dynamical mean field theory with quantum computing
Thomas Ayral·Jul 31, 2025
Near-term quantum processors are limited in terms of the number of qubits and gates they can afford. They nevertheless give unprecedented access to programmable quantum systems that can efficiently, although imperfectly, simulate quantum time evoluti...
Hardware-Efficient Rydberg Atomic Quantum Solvers for NP Problems
Shuaifan Cao, Xiaopeng Li·Jul 30, 2025
Developing hardware-efficient implementations of quantum algorithms is crucial in the NISQ era to achieve practical quantum advantage. Here, we construct a generic quantum solver for NP problems based on Grover's search algorithm, specifically tailor...
Minimizing entanglement entropy for enhanced quantum state preparation
Oskari Kerppo, William Steadman, Ossi Niemimäki +1 more·Jul 30, 2025
Quantum state preparation is an important subroutine in many quantum algorithms. The goal is to encode classical information directly to the quantum state so that it is possible to leverage quantum algorithms for data processing. However, quantum sta...
Evaluation of Noise and Crosstalk in Neutral Atom Quantum Computers
Pranet Sharma, Yizhuo Tan, K. Papadopoulos +1 more·Jul 29, 2025
This work explores and evaluates noise and crosstalk in neutral atom quantum computers. Neutral atom quantum computers are a promising platform for analog Hamiltonian simulations, which rely on a sequence of time-dependent Hamiltonians to model the d...
Protected quantum gates using qubit doublons in dynamical optical lattices
Yann Kiefer, Zijie Zhu, Lars Fischer +5 more·Jul 29, 2025
Quantum computing represents a central challenge in modern science. Neutral atoms in optical lattices have emerged as a leading computing platform, with collisional gates offering a stable mechanism for quantum logic. However, previous experiments ha...
Optimisation and synthesis of quantum circuits with global gates
Alejandro Villoria, Henning Basold, A. Laarman·Jul 28, 2025
Compiling quantum circuits to account for hardware restrictions is an essential part of the quantum computing stack. Circuit compilation allows us to adapt algorithm descriptions into a sequence of operations supported by real quantum hardware, and h...
Quantitative analysis of the effectiveness of mid-anneal measurement in quantum annealing
Keita Takahashi, Shu Tanaka·Jul 27, 2025
Quantum annealing is a promising metaheuristic for solving constrained combinatorial optimization problems. However, parameter tuning difficulties and hardware noise often prevent optimal solutions from being properly encoded as the ground states of ...
Scalable native multiqubit gates via engineered noncomputational-state interactions in superconducting fluxonium qubits
Peng Zhao, Peng Xu, Zheng-Yuan Xue·Jul 25, 2025
Native multiqubit gates could be essential for bridging the gap from current noisy devices to future utility-scale quantum computers, as they can substantially reduce circuit depth for near-term applications on noisy devices and may also lower the ph...
FD4QC: Application of Classical and Quantum-Hybrid Machine Learning for Financial Fraud Detection A Technical Report
Matteo Cardaioli, Luca Marangoni, Giada Martini +5 more·Jul 25, 2025
The increasing complexity and volume of financial transactions pose significant challenges to traditional fraud detection systems. This technical report investigates and compares the efficacy of classical, quantum, and quantum-hybrid machine learning...
Pulse-based optimization of quantum many-body states with Rydberg atoms in optical tweezer arrays
Kazuma Nagao, S. Julia-Farr'e, J. Vovrosh +2 more·Jul 25, 2025
We explore a pulse-based variational quantum eigensolver (VQE) algorithm for Rydberg atoms in optical tweezer arrays and evaluate its performance on prototypical quantum spin models. We numerically demonstrate that the ground states of the one-dimens...
Almost fault-tolerant quantum machine learning with drastic overhead reduction
Haiyue Kang, Younghun Kim, Eromanga Adermann +2 more·Jul 25, 2025
Errors in the current generation of quantum processors pose a significant challenge towards practical-scale implementations of quantum machine learning (QML) as they lead to trainability issues arising from noise-induced barren plateaus, as well as p...
Shallow-depth GHZ state generation on NISQ devices
S. S. Chelluri, S. Schuster, Sumeet +1 more·Jul 25, 2025
In this work, we focus on GHZ state generation under the practical constraint of limited qubit connectivity, a hallmark of current NISQ hardware. We study the GHZ state preparation across different connectivity graphs inspired by IBM and Google chip ...
Average-computation benchmarking for local expectation values in digital quantum devices
Flavio Baccari, Pavel Kos, Georgios Styliaris·Jul 24, 2025
As quantum devices progress towards a quantum advantage regime, they become harder to benchmark. A particularly relevant challenge is to assess the quality of the whole computation, beyond testing the performance of each single operation. Here we int...