Papers
Live trends in quantum computing research, updated daily from arXiv.
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Attributed-graphs kernel implementation using local detuning of neutral-atoms Rydberg Hamiltonian
Mehdi Djellabi, Matthias Hecker, Shaheen Acheche·Sep 11, 2025
We extend the quantum-feature kernel framework, which relies on measurements of graph-dependent observables, along three directions. First, leveraging neutral-atom quantum processing units (QPUs), we introduce a scheme that incorporates attributed gr...
Expanding the Class of Free Fermions via Twin-Collapse Methods
Jannis Ruh, Samuel J. Elman·Sep 11, 2025
We present a novel graph-theoretic approach to simplifying generic many-body Hamiltonians. Our primary result introduces a recursive twin-collapse algorithm, leveraging the identification and elimination of symmetric vertex pairs (twins), as well as ...
Evaluating Quantum Amplitude Estimation for Pricing Multi-Asset Basket Options
Muhammad Kashif, Shaf Khalid, Nouhaila Innan +2 more·Sep 11, 2025
Accurate and efficient pricing of multi-asset basket options poses a significant challenge, especially when dealing with complex realworld data. In this work, we investigate the role of quantum-enhanced uncertainty modeling in financial pricing optio...
Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading
Jun-Hao Chen, Yu-Chien Huang, Yun-Cheng Tsai +1 more·Sep 11, 2025
The convergence of quantum-inspired neural networks and deep reinforcement learning offers a promising avenue for financial trading. We implemented a trading agent for USD/TWD by integrating Quantum Long Short-Term Memory (QLSTM) for short-term trend...
A hybrid quantum walk model unifying discrete and continuous quantum walks
Tianen Chen, Y. Shang·Sep 11, 2025
Quantum walks, both discrete and continuous, serve as fundamental tools in quantum information processing with diverse applications. This work introduces a hybrid quantum walk model that integrates the coin mechanism of discrete walks with the Hamilt...
Simulating magic state cultivation with few Clifford terms
Kwok Ho Wan, Zhenghao Zhong, Ainhoa Zapirain·Sep 10, 2025
Building upon [arXiv:2509.01224], we present a few methods on how to simulate the non-Clifford $d=5$ magic state cultivation circuits [arXiv:2409.17595] with a sum of $\approx 8$ Clifford ZX-diagrams on average, at $0.1\%$ noise. Compared to a magic ...
A Pathway to Practical Quantum Advantage in Solving Navier-Stokes Equations
Xi-Ning Zhuang, Zhao-Yun Chen, Ming-Yang Tan +12 more·Sep 10, 2025
The advent of fault-tolerant quantum computing (FTQC) promises to tackle classically intractable problems. A key milestone is solving the Navier-Stokes equations (NSE), which has remained formidable for quantum algorithms due to their high input-outp...
Generative quantum advantage for classical and quantum problems
Hsin-Yuan Huang, M. Broughton, N. Eassa +3 more·Sep 10, 2025
Recent breakthroughs in generative machine learning, powered by massive computational resources, have demonstrated unprecedented human-like capabilities. While beyond-classical quantum experiments can generate samples from classically intractable dis...
FeynmanDD: Quantum Circuit Analysis with Classical Decision Diagrams
Ziyuan Wang, Bin Cheng, L. Yuan +1 more·Sep 10, 2025
Applications of decision diagrams in quantum circuit analysis have been an active research area. Our work introduces FeynmanDD, a new method utilizing standard and multi-terminal decision diagrams for quantum circuit simulation and equivalence checki...
Universality of a standard two-qubit gate by catalytic embedding
Robin Kaarsgaard·Sep 9, 2025
We study the resources required to achieve universal quantum computing via the gate sets that provide the fundamental instructions from which quantum algorithms are built. While single-gate universal sets are known, they rely on precisely tuned irrat...
Entanglement distribution modeling with quantum memories in a global and local clock system
Tasmi R. Ahmed, Fares Nada, Amber Hussain +1 more·Sep 9, 2025
We report an innovative model for predicting entanglement distribution between end parties of a quantum network using our in-house simulation algorithm. Our implementation is based on stochastic methods that are built upon a unique global and local c...
Improving fermionic variational quantum eigensolvers with Majorana swap networks
D. Fisher, S. Fldzhyan, D. V. Minaev +2 more·Sep 9, 2025
Simulating computationally hard fermionic systems is a promising application of quantum computing. However, mapping nonlocal fermionic operators to qubits often produces deep circuits, rendering such simulations impractical on near-term hardware. We ...
Large-Scale Efficient Molecule Geometry Optimization with Hybrid Quantum-Classical Computing.
Yajie Hao, Qiming Ding, Xiaoting Wang +1 more·Sep 9, 2025
Accurately and efficiently predicting the equilibrium geometries of large molecules remains a central challenge in quantum computational chemistry, even with hybrid quantum-classical algorithms. Two major obstacles hinder progress: the large number o...
Circuit-Efficient Randomized Quantum Simulation of Non-Unitary Dynamics with Observable-Driven and Symmetry-Aware Designs
Songqinghao Yang, Jin-Peng Liu·Sep 9, 2025
We introduce random-LCHS, a circuit-efficient randomized-compilation framework for simulating linear non-unitary dynamics of the form $\partial_t u(t) = -A(t) u(t) + b(t)$ built on the linear combination of Hamiltonian simulation (LCHS). We propose t...
Entanglement and Classical Simulability in Quantum Extreme Learning Machines
A. De Lorenzis, M. P. Casado, N. Lo Gullo +3 more·Sep 8, 2025
Quantum Machine Learning (QML) has emerged as a promising framework for exploring how quantum dynamics may enhance data processing tasks. Here we investigate Quantum Extreme Learning Machines (QELMs), a quantum analogue of classical Extreme Learning ...
Subspace Variational Quantum Simulation: Fidelity Lower Bounds as Measures of Training Success
Seung Park, Dongkeun Lee, Jeongho Bang +2 more·Sep 8, 2025
We propose an iterative variational quantum algorithm to simulate the time evolution of arbitrary initial states within a given subspace. The algorithm compresses the Trotter circuit into a shorter-depth parameterized circuit, which is optimized simu...
Efficient Convex Optimization for Bosonic State Tomography
Shengyong Li, Yanjin Yue, Ying Hu +7 more·Sep 8, 2025
Quantum states encoded in electromagnetic fields, also known as bosonic states, have been widely applied in quantum sensing, quantum communication, and quantum error correction. Accurate characterization is therefore essential yet difficult when stat...
Green's Function Methods for Computing Supercurrents in Josephson Junctions
E. Mucciolo, J. Nieminen, Xia Xiao +3 more·Sep 8, 2025
Interest in Josephson junctions (JJs) has increased rapidly in recent years not only because of their use in qubits and other quantum devices but also due to the unique physics supported by the JJs. The advent of various novel quantum materials for b...
Machine learning applications in cold atom quantum simulators
Henning Schlomer, A. Bohrdt·Sep 8, 2025
As ultracold atom experiments become highly controlled and scalable quantum simulators, they require sophisticated control over high-dimensional parameter spaces and generate increasingly complex measurement data that need to be analyzed and interpre...
Time-frequency Entangled Photon Mediated CCZ Gate
Chenhui Wang, Weilong Wang, Yangyang Fei +4 more·Sep 8, 2025
High-fidelity native multi-qubit operations are crucial to efficient quantum circuit compilation due to their ability of shortening circuit depth and enhence the performance. However, the design and implementation of these gates remain a challenge. H...