Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
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...
Passive quantum interconnects: multiplexed remote entanglement generation with cavity-assisted photon scattering
Seigo Kikura, Kazufumi Tanji, Akihisa Goban +1 more·Jul 1, 2025
We propose a time- and wavelength-multiplexed remote atom-atom entanglement generation protocol based on cavity-assisted photon scattering (CAPS). This is designed to achieve a high rate and high fidelity with robustness to operational imperfections,...
A new paradigm for entanglement certification using noncontextuality inequalities
Yujie Zhang, Jonah Spodek, David Schmid +5 more·Jul 1, 2025
By combining the assumptions of Bell locality with those of generalized noncontextuality, we define classes of noncontextuality inequalities for correlations arising in a bipartite Bell circuit. These classes are distinguished by which subsets of the...
Anonymous and private parameter estimation in networks of quantum sensors
Jarn de Jong, Santiago Scheiner, Naomi R. Solomons +3 more·Jul 1, 2025
Anonymity and privacy are two key properties of modern communication networks. In quantum networks, distributed quantum sensing has emerged as a powerful use case, with applications to clock synchronisation, detecting gravitational effects and more. ...
Efficient Gate Reordering for Distributed Quantum Compiling in Data Centers
Riccardo Mengoni, Walter Nadalin, Mathys Rennela +5 more·Jul 1, 2025
Just as classical computing relies on distributed systems, the quantum computing era requires new kinds of infrastructure and software tools. Quantum networks will become the backbone of hybrid, quantum-augmented data centers, in which quantum algori...
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-like states from classical systems
Gregory D. Scholes·Jul 1, 2025
This work studies how a suitably-designed classical system generates with a quantum-like (QL) state space mediated by a graph. The graph plays a special dual role by directing the topology of the classical network and defining a state space that comp...
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...
Inter-qubit correlation dynamics driven by mutual interactions
Aleksandra Kwiatkowska, Waldemar Kłobus·Jul 1, 2025
A particularly useful tool for characterizing multi-qubit systems is the correlation tensor, providing an experimentally friendly and theoretically concise representation of quantum states. In this work, we analyze the evolution of the correlation te...
The Complexity of Thermalization in Finite Quantum Systems
Dhruv Devulapalli, T. C. Mooney, James D. Watson·Jul 1, 2025
Thermalization is the process through which a physical system evolves toward a state of thermal equilibrium. Determining whether or not a physical system will thermalize from an initial state has been a key question in condensed matter physics. Close...
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling
B. Rababah, Bilal Farooq·Jul 1, 2025
Quantum computing has opened new opportunities to tackle complex machine learning tasks, for instance, highdimensional data representations commonly required in intelligent transportation systems. We explore quantum machine learning to model complex ...
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...
Revisiting Noise-adaptive Transpilation in Quantum Computing: How Much Impact Does it Have?
Yuqian Huo, Jinbiao Wei, Christopher Kverne +3 more·Jul 1, 2025
Transpilation, particularly noise-aware optimization, is widely regarded as essential for maximizing the performance of quantum circuits on superconducting quantum computers. The common wisdom is that each circuit should be transpiled using up-to-dat...
Quantum Computing in Discrete- and Continuous-Variable Architectures
Shraddha Singh·Jul 1, 2025
This thesis develops a theoretical framework for hybrid continuous-variable (CV) and discrete-variable (DV) quantum systems, with emphasis on quantum control, state preparation, and error correction. A central contribution is non-abelian quantum sign...
Integration of quantum random number generators with post-quantum cryptography algorithms
Paula Alonso Blanco, Luis Trigo Vidarte, Marc Romeu Casas +4 more·Jul 1, 2025
As quantum technologies advance, the security of popular cryptographic protocols becomes more threatened by the capabilities of Cryptographically Relevant Quantum Computers (CRQCs). In this scenario, Post-Quantum Cryptography (PQC) has become a poten...
Quantum Circuit Structure Optimization for Quantum Reinforcement Learning
Seokshin Son, Joongheon Kim·Jul 1, 2025
Reinforcement learning (RL) enables agents to learn optimal policies through environmental interaction. However, RL suffers from reduced learning efficiency due to the curse of dimensionality in high-dimensional spaces. Quantum reinforcement learning...
Logarithmic Depth Decomposition of Approximate Multi-Controlled Single-Qubit Gates Without Ancilla Qubits
Jefferson D. S. Silva, Adenilton J. da Silva·Jul 1, 2025
The synthesis of quantum operators involves decomposing general quantum gates into the gate set supported by a given quantum device. Multi-controlled gates are essential components in this process. In this work, we present an improved decomposition o...
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...
Quantum state transfer and maximal entanglement between distant qubits using a minimal quasicrystal pump
A. Ghosh, R. Souto, Vahid Azimi-Mousolou +2 more·Jul 1, 2025
Coherent quantum state transfer over macroscopic distances between non-neighboring elements in quantum circuits is a crucial component to increase connectivity and simplify quantum information processing. To facilitate such transfers, an efficient an...
Fully Parallelized BP Decoding for Quantum LDPC Codes Can Outperform BP-OSD
Ming Wang, Ang Li, Frank Mueller·Jun 30, 2025
This work presents a hardware-efficient and fully parallelizable decoder for quantum LDPC codes that leverages belief propagation (BP) with a speculative post-processing strategy inspired by classical Chase decoding algorithm. By monitoring bit-level...