Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Constant-Factor Improvements in Quantum Algorithms for Linear Differential Equations
Matthew Pocrnic, Peter D. Johnson, Amara Katabarwa +1 more·Jun 25, 2025
Finding the solution to linear ordinary differential equations of the form $\partial_t u(t) = -A(t)u(t)$ has been a promising theoretical avenue for \textit{asymptotic} quantum speedups. However, despite the improvements to existing quantum different...
Quantum-Centric Alchemical Free Energy Calculations
Milana Bazayeva, Zhen Li, Danil S. Kaliakin +4 more·Jun 25, 2025
In the present work, we present a hybrid quantum-classical workflow aimed at improving the accuracy of alchemical free energy (AFE) predictions by incorporating configuration interaction (CI) simulations using the book-ending correction method. This ...
PhasePoly: An Optimization Framework forPhase Polynomials in Quantum Circuits
Zihan Chen, Henry Chen, Yuwei Jin +6 more·Jun 25, 2025
Quantum computing has transformative computational power to make classically intractable computing feasible. As the algorithms that achieve practical quantum advantage are beyond manual tuning, quantum circuit optimization has become extremely import...
A spectral quantum algorithm for numerical differentiation and integration
Jordan Cioni, Fabio Semperlotti·Jun 24, 2025
Numerical calculus algorithms which estimate derivatives and integrals from data series acquired either via measurements or by sampling functions are essential in scientific computing. To date, a few quantum algorithms have been developed to perform ...
Error-resilient Reversal of Quantum Chaotic Dynamics Enabled by Scramblons
Yu-Chen Li, Tian-Gang Zhou, Shengyu Zhang +8 more·Jun 24, 2025
The emergence of the arrow of time in quantum many-body systems stems from the inherent tendency of Hamiltonian evolution to scramble quantum information and increase entanglement. While, in principle, one might counteract this temporal directionalit...
Directional search for light dark matter with quantum sensors
Hajime Fukuda, Yuichiro Matsuzaki, Thanaporn Sichanugrist·Jun 24, 2025
The presence of dark matter (DM) stands as one of the most compelling indications of new physics in particle physics. Typically, the detection of wave-like DM involves quantum sensors, such as qubits or cavities. The phase of the sensors is usually d...
Distributed Quantum Inner Product Estimation with Structured Random Circuits
Congcong Zheng, Kun Wang, Xutao Yu +2 more·Jun 24, 2025
Distributed inner product estimation (DIPE) is a fundamental task in quantum information, aiming to estimate the inner product between two unknown quantum states prepared on distributed quantum platforms. Existing rigorous sample complexity analyses ...
Iterative Quantum Feature Maps
Nasa Matsumoto, Quoc Hoan Tran, Koki Chinzei +2 more·Jun 24, 2025
Quantum machine learning models that leverage quantum circuits as quantum feature maps (QFMs) are recognized for their enhanced expressive power in learning tasks. Such models have demonstrated rigorous end-to-end quantum speedups for specific famili...
Learning quantum tomography from incomplete measurements
Mateusz Krawczyk, Pavel Baláž, Katarzyna Roszak +1 more·Jun 24, 2025
We revisit quantum tomography in an informationally incomplete scenario and propose improved state reconstruction methods using deep neural networks. In the first approach, the trained network predicts an optimal linear or quadratic reconstructor wit...
Gottesman-Knill Limit on One-way Communication Complexity: Tracing the Quantum Advantage down to Magic Resources
Snehasish Roy Chowdhury, Sahil Gopalkrishna Naik, Ananya Chakraborty +5 more·Jun 24, 2025
Quantum systems are known to offer advantages over their classical counterpart in communication complexity protocols, where the aim is to minimize the amount of information exchange between distant parties to compute global functions of their distrib...
Loss-robust crossband entanglement generation beyond the direct-transduction limit
Haowei Shi, Quntao Zhuang·Jun 24, 2025
Entanglement across distant frequency bands is a crucial resource in quantum networking. However, directly entangling crossband photons, e.g., microwave and optical, is challenging. Furthermore, distributing crossband entanglement via direct quantum ...
Conservative quantum offline model-based optimization
Kristian Sotirov, Annie E. Paine, Savvas Varsamopoulos +2 more·Jun 24, 2025
Offline model-based optimization (MBO) refers to the task of optimizing a black-box objective function using only a fixed set of prior input-output data, without any active experimentation. Recent work has introduced quantum extremal learning (QEL), ...
Scalable entangling gates on ion qubits via structured light addressing
Xueying Mai, Liyun Zhang, Qi Yu +2 more·Jun 24, 2025
A central challenge in developing practical quantum processors is maintaining low control complexity while scaling to large numbers of qubits. Trapped-ion systems excel in small-scale operations and support rapid qubit scaling via long-chain architec...
Dynamics of discrete spacetimes with Quantum-enhanced Markov Chain Monte Carlo
Stuart Ferguson, Arad Nasiri, P. Wallden·Jun 24, 2025
Quantum algorithms offer the potential for significant computational advantages; however, in many cases, it remains unclear how these advantages can be practically realized. Causal Set Theory is a discrete, Lorentz-invariant approach to quantum gravi...
A Perspective on Quantum Computing Applications in Quantum Chemistry Using 25-100 Logical Qubits.
Yuri Alexeev, Victor S. Batista, Nicholas P. Bauman +27 more·Jun 24, 2025
The intersection of quantum computing and quantum chemistry represents a promising frontier for achieving quantum utility in domains of both scientific and societal relevance. Owing to the exponential growth of classical resource requirements for sim...
Fast readout of quantum dot spin qubits via Andreev spins
Michele Jakob, Katharina Laubscher, Patrick Del Vecchio +3 more·Jun 24, 2025
Spin qubits in semiconducting quantum dots are currently limited by slow readout processes, which are orders of magnitude slower than gate operations. In contrast, Andreev spin qubits benefit from fast measurement schemes enabled by the large resonat...
Error recovery protocols within metastable Decoherence-Free Subspaces
T. Botzung, Eliana Fiorelli·Jun 24, 2025
Open quantum systems governed by quantum master equations can exhibit quantum metastability, where decoherence-free subspaces (DFS) remain approximately invariant for long transient times before relaxing to a unique steady state. In this work, we exp...
Improved energy barrier in higher-dimensional hypergraph product codes
Guangqi Zhao·Jun 24, 2025
Single-shot error correction outperforms conventional approaches by requiring only one round of stabilizer measurements for decoding, even in the presence of measurement errors. This capability relates to the confinement property of codes, which prov...
Metamaterials in Superconducting and Cryogenic Quantum Technologies
A. Krasnok·Jun 24, 2025
The development of fault-tolerant quantum computers based on superconducting circuits faces critical challenges in qubit coherence, connectivity, and scalability. This review establishes metamaterials, artificial structures with on-demand electromagn...
QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges
Abdul Basit, Minghao Shao, Haider Asif +4 more·Jun 24, 2025
Recent advances in Large Language Models (LLMs) have demonstrated strong potential in code generation, yet their effectiveness in quantum computing remains underexplored. This paper benchmarks LLMs for PennyLane-based quantum code generation using re...