Papers
Live trends in quantum computing research, updated daily from arXiv.
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STABSim: A Parallelized Clifford Simulator with Features Beyond Direct Simulation
Sean Garner, Chenxu Liu, Meng Wang +2 more·Jul 3, 2025
The quantum stabilizer formalism became foundational for understanding error correction soon after the realization of the first useful quantum error correction codes. Stabilizers provide a way to describe sets of quantum states which are valid codewo...
Efficient Characterization of Coherent and Correlated Low-Degree Noise in Layers of Gates
Marianna Crupi, J. Ignacio Cirac, Flavio Baccari·Jul 2, 2025
We present a quantum process-tomography protocol based on a low-degree ansatz for the quantum channel, i.e. when it can be expressed as a fixed-degree polynomial in terms of Pauli operators. We demonstrate how to perform tomography of such channels w...
An exact Markovian decoherence dynamics of two interacting harmonic oscillators coupled to a bosonic heat bath
Gábor Homa, Dávid Hamar, József Zsolt Bernád +2 more·Jul 2, 2025
We present an exact analytical solution of the Hu-Paz-Zhang master equation in a precise Markovian limit for a system of two harmonically coupled harmonic oscillators interacting with a common thermal bath of harmonic oscillators. The thermal bath is...
Quantum phase estimation based filtering: performance analysis and application to low-energy spectral calculation
Rei Sakuma, Kaito Wada, Shu Kanno +5 more·Jul 2, 2025
Filtering is an important technique in quantum computing used for isolating or enhancing some specific states of quantum many-body systems. In this paper, we analyze the performance of filters based on the quantum phase estimation (QPE) algorithm, in...
Analyzing Common Electronic Structure Theory Algorithms for Distributed Quantum Computing
G. Jones, Hans-Arno Jacobsen·Jul 2, 2025
To move towards the utility era of quantum computing, many corporations have posed distributed quantum computing (DQC) as a framework for scaling the current generation of devices for practical applications. One of these applications is quantum chemi...
Circuit compression for 2D quantum dynamics
Matteo D'Anna, Yuxuan Zhang, R. Wiersema +2 more·Jul 2, 2025
The study of out-of-equilibrium quantum many-body dynamics remains one of the most exciting research frontiers of physics, standing at the crossroads of our understanding of complex quantum phenomena and the realization of quantum advantage. Quantum ...
Generative flow-based warm start of the variational quantum eigensolver
Hang Zou, Martin Rahm, A. F. Kockum +1 more·Jul 2, 2025
Hybrid quantum-classical algorithms like the variational quantum eigensolver (VQE) show promise for quantum simulations on near-term quantum devices, but are often limited by complex objective functions and expensive optimization procedures. Here, we...
Quantum Simulation of QED in Coulomb Gauge
Xiaojun Yao·Jul 1, 2025
A recent work considered quantum simulation of Quantum Electrodynamics on a lattice in the Coulomb gauge with gauge degrees of freedom represented in the occupation basis in momentum space. Here we consider the more efficient representation of the ga...
Quantum Imaginary-Time Evolution with Polynomial Resources in Time
Lei Zhang, Jizhe Lai, Xian Wu +1 more·Jul 1, 2025
Imaginary-time evolution is fundamental for analyzing quantum many-body systems, yet classical simulation requires exponentially growing resources in both system size and evolution time. While quantum approaches reduce the system-size scaling, existi...
Coupled Cluster Downfolding Theory in Simulations of Chemical Systems on Quantum Hardware
Nicholas P. Bauman, Muqing Zheng, Chenxu Liu +5 more·Jul 1, 2025
The practical application of quantum technologies to chemical problems faces significant challenges, particularly in the treatment of realistic basis sets and the accurate inclusion of electron correlation effects. A direct approach to these problems...
Quantum machine learning for state tomography using classical data
S. Jabeen, Dmytro Kurdydyk, Aadi Palnitkar +3 more·Jul 1, 2025
Reconstructing quantum states from measurement data represents a formidable challenge in quantum information science, especially as system sizes grow beyond the reach of traditional tomography methods. While recent studies have explored quantum machi...
Characterization of drive-induced unwanted state transitions in superconducting circuits
W. Dai, S. Hazra, D. K. Weiss +11 more·Jun 30, 2025
Microwave drives are essential for implementing control and readout operations in superconducting quantum circuits. However, increasing the drive strength eventually leads to unwanted state transitions which limit the speed and fidelity of such opera...
Quantum Physics-Informed Neural Networks for Maxwell's Equations: Circuit Design, "Black Hole" Barren Plateaus Mitigation, and GPU Acceleration
Ziv Chen, Gal G. Shaviner, Hemanth Chandravamsi +3 more·Jun 29, 2025
Physics-Informed Neural Networks (PINNs) have emerged as a promising approach for solving partial differential equations (PDEs) by embedding the governing physics into the loss function associated with a deep neural network. In this work, a Quantum P...
Single Qudit Control in $^{87}$Sr via Optical Nuclear Electric Resonance
Johannes K. Krondorfer, Matthias Diez, Andreas W. Hauser·Jun 29, 2025
Optical nuclear electric resonance (ONER) was recently proposed as a fast and robust single-qubit gate mechanism in $^{87}$Sr. Here, we demonstrate through numerical simulations that ONER can be extended to single-qudit control, addressing multiple o...
Scaling Laws of Quantum Information Lifetime in Monitored Quantum Dynamics
Bingzhi Zhang, Fangjun Hu, Runzhe Mo +3 more·Jun 28, 2025
Quantum information is typically fragile under measurements and environmental coupling. Remarkably, we find that its lifetime can scale exponentially with system size when the environment is continuously monitored via mid-circuit measurements -- rega...
QTurbo: A Robust and Efficient Compiler for Analog Quantum Simulation
Junyu Zhou, Yuhao Liu, Shize Che +5 more·Jun 28, 2025
Analog quantum simulation leverages native hardware dynamics to emulate complex quantum systems with great efficiency by bypassing the quantum circuit abstraction. However, conventional compilation methods for analog simulators are typically labor-in...
A Quantum Framework for Protein Binding-Site Structure Prediction on Utility-Level Quantum Processors
Yuqi Zhang, Yuxin Yang, William Martin +8 more·Jun 27, 2025
Accurate prediction of protein active-site structures remains a central challenge in structural biology, particularly for short and flexible peptide fragments where conventional and simulation-based methods often fail. Here, we present a quantum comp...
Higher-Order Adiabatic Elimination in Atom-Cavity Systems and Its Impact on Spin-Squeezing Generation
Stefano Giaccari, Giulia Dellea, Marco G. Genoni +1 more·Jun 27, 2025
Spin-squeezed states are metrologically useful quantum states where entanglement allows for enhanced sensing with respect to the standard quantum limit. Key challenges include the efficient preparation of spin-squeezed states and the scalability of e...
Signatures of rigidity and second sound in dipolar supersolids
G. A. Bougas, T. Bland, H. R. Sadeghpour +1 more·Jun 27, 2025
We propose a dynamical protocol to probe the rigidity and phase coherence of dipolar supersolids by merging initially separated fragments in quasi-one-dimensional (1D) double-well potentials. Simulations based on the extended Gross-Pitaevskii equatio...
Experimental quantum reservoir computing with a circuit quantum electrodynamics system
Baptiste Carles, Julien Dudas, Léo Balembois +2 more·Jun 27, 2025
Quantum reservoir computing is a machine learning framework that offers ease of training compared to other quantum neural networks, as it does not rely on gradient-based optimization. Learning is performed in a single step on the output features meas...