Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
QuanUML: Towards A Modeling Language for Model-Driven Quantum Software Development
Xiaoyu Guo, Shinobu Saito, Jianjun Zhao·Jun 5, 2025
This paper introduces QuanUML, an extension of the Unified Modeling Language (UML) tailored for quantum software systems. QuanUML integrates quantum-specific constructs, such as qubits and quantum gates, into the UML framework, enabling the modeling ...
Hybrid between biologically and quantum-inspired many-body states
Miha Srdinšek, Xavier Waintal·Jun 5, 2025
Deep neural networks can represent very different sorts of functions, including complex quantum many-body states. Tensor networks can also represent these states, have more structure and are easier to optimize. However, they can be prohibitively cost...
Exponential distillation of dominant eigenproperties
Bence Bakó, Tenzan Araki, Bálint Koczor·Jun 4, 2025
Estimating observable expectation values in eigenstates of quantum systems has a broad range of applications and is an area where early fault-tolerant quantum computers may provide practical quantum advantage. We develop a hybrid quantum-classical al...
Bridging Quantum Chemistry and MaxCut: Classical Performance Guarantees and Quantum Algorithms for the Hartree-Fock Method.
Alexis Ralli, Tim Weaving, Peter V. Coveney +1 more·Jun 4, 2025
In quantum chemistry, self-consistent field (SCF) algorithms define a nonlinear optimization problem, with both continuous and discrete components. In this work, we derive Hartree-Fock-inspired SCF algorithms that can be exactly written as a sequence...
hqQUBO: A Hybrid-querying Quantum Optimization Model Validated with 16-qubits on an Ion Trap Quantum Computer for Life Science Applications
Rong Chen, Quanxin Mei, Wending Zhao +5 more·Jun 2, 2025
AlphaFold has achieved groundbreaking advancements in protein structure prediction, exerting profound influence across biology, medicine, and drug discovery. However, its reliance on multiple sequence alignment (MSA) is inherently time-consuming due ...
Workflow decomposition algorithm for scheduling with quantum annealer-based hybrid solver
Marcin Kroczek, Justyna Zawalska, Katarzyna Rycerz·Jun 2, 2025
We introduce the Series-Parallel Workflow Decomposition (SP\-WD) heuristic algorithm for the Workflow Scheduling Problem (WSP) decomposition. We demonstrate that the SPWD algorithm facilitates the scheduling of large WSP instances with the hybrid D-W...
Bridging Quantum and Classical Computing in Drug Design: Architecture Principles for Improved Molecule Generation
Andrew K Smith, Erhan Guven·Jun 1, 2025
Hybrid quantum-classical machine learning offers a path to leverage noisy intermediate-scale quantum (NISQ) devices for drug discovery, but optimal model architectures remain unclear. We systematically optimize the quantum-classical bridge architectu...
Symbolic Hamiltonian Compiler for Hybrid Qubit-Boson Processors
Ethan Decker, Erik Gustafson, Evan McKinney +7 more·May 30, 2025
Quantum simulation of the interactions of fermions and bosons - the fundamental particles of nature - is essential for modeling complex quantum systems in material science, chemistry and high-energy physics and has been proposed as a promising applic...
Optimal Control by Variational Quantum Algorithms
Tangyou Huang, Jing-jun Zhu, Z.Y. Ni·May 29, 2025
Hybrid quantum-classical algorithms hold great promise for solving quantum control problems on near-term quantum computers. In this work, we employ the hybrid framework that integrates digital quantum simulation with classical optimization to achieve...
Flow to Nishimori universality in weakly monitored quantum circuits with qubit loss
Malte Pütz, Romain Vasseur, Andreas W. W. Ludwig +2 more·May 28, 2025
In circuit-based quantum state preparation, qubit loss and coherent errors are circuit imperfections that imperil the formation of long-range entanglement beyond a certain threshold. The critical theory at the threshold is a continuous entanglement t...
Optimizing QUBO on a quantum computer by mimicking imaginary time evolution
Yahui Chai, Alice di Tucci·May 28, 2025
We propose a hybrid quantum-classical algorithm for solving QUBO problems using an Imaginary Time Evolution-Mimicking Circuit (ITEMC). The circuit parameters are optimized to closely mimic imaginary time evolution, using only single- and two-qubit ex...
Quantum Reservoir Computing for Corrosion Prediction in Aerospace: A Hybrid Approach for Enhanced Material Degradation Forecasting
Akshat Tandon, James Brown, Kenneth Heitritter +5 more·May 28, 2025
The prediction of material degradation is an important problem to solve in many industries. Environmental conditions, such as humidity and temperature, are important drivers of degradation processes, with corrosion being one of the most prominent one...
Probing Time Reversal Symmetry Breaking using a Nonlinear Superconducting Ring Resonator
Nicolas Dirnegger, Marie Wesson, Arpit Arora +5 more·May 27, 2025
Time-reversal symmetry breaking (TRSB) has been central to detecting exotic phases of matter. Here, we leverage the circuit electrodynamics capabilities of superconducting devices to propose a novel scheme based on a multimode superconducting ring re...
Designing Fault-Tolerant Blind Quantum Computation
G. Baranes, Iria W. Wang, Francisco Machado +6 more·May 27, 2025
Blind quantum computing (BQC) is a computational paradigm that allows a client with limited quantum capabilities to delegate quantum computations to a more powerful server while keeping both the algorithm and data hidden. However, in practice, existi...
Ab initio many-fermion structure calculations on a quantum computer
W. Du, Yangguang Yang, Zixin Liu +2 more·May 26, 2025
To overcome the limitations of existing algorithms for solving self-bound quantum many-body problems -- such as those encountered in nuclear and particle physics -- that access only a restricted subset of energy levels and provide limited structural ...
QMIO: A tightly integrated hybrid HPCQC system
Javier Cacheiro, Álvaro C. Sánchez, Russell Rundle +4 more·May 25, 2025
High-Performance Computing (HPC) systems are the most powerful tools that we currently have to solve complex scientific simulations. Quantum computing (QC) has the potential to enhance HPC systems by accelerating the execution of specific kernels tha...
Non-Local Phase Estimation with a Rydberg-Superconducting Qubit Hybrid
Juan C. Boschero, Niels M. P. Neumann, Ward van der Schoot +1 more·May 23, 2025
Distributed quantum computing (DQC) is crucial for high-volume quantum processing in the NISQ era. Many different technologies are utilized to implement a quantum computer, each with a different advantages and disadvantages. Various research is perfo...
Neural Network Assisted Fermionic Compression Encoding: A Lossy-QSCI Framework for Resource-Efficient Ground-State Simulations
Yu-Cheng Chen, Ronin Wu, M. H. Cheng +1 more·May 23, 2025
Quantum computing promises to revolutionize many-body simulations for quantum chemistry, but its potential is constrained by limited qubits and noise in current devices. In this work, we introduce the Lossy Quantum Selected Configuration Interaction ...
Leveraging biased noise for more efficient quantum error correction at the circuit-level with two-level qubits
Josu Etxezarreta Martinez, Paul Schnabl, Javier Oliva del Moral +3 more·May 23, 2025
Tailoring quantum error correction codes (QECC) to biased noise has demonstrated significant benefits. However, most of the prior research on this topic has focused on code capacity noise models. Furthermore, a no-go theorem prevents the construction...
Quantum Multi-view Kernel Learning with Local Information
Jing Li, Yanqi Song, Su-Lu Qin +1 more·May 22, 2025
Kernel methods serve as powerful tools to capture nonlinear patterns behind data in machine learning. The quantum kernel, integrating kernel theory with quantum computing, has attracted widespread attention. However, existing studies encounter perfor...