Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
State-adaptive quantum error correction and fault-tolerant quantum computing
D. -S. Wang·Aug 8, 2025
We present a theoretical framework for state-adaptive quantum error correction that bridges the gap between quantum computing and error correction paradigms. By incorporating knowledge of quantum states into the error correction process, we establish...
Cavity-based optical switching via phase modulation in warm rubidium vapor
Georgia Booton, Tabijah Wasawo, William Davis +5 more·Aug 8, 2025
Optical switching remains a key outstanding challenge for scalable fault-tolerant photonic quantum computing due to the trade-off between speed, bandwidth, and loss. Scalable quantum photonics demands all three, to enable high computational clock rat...
Quantum Algorithm for Estimating Intrinsic Geometry
Nhat A. Nghiem, Tuan K. Do, Tzu-Chieh Wei +1 more·Aug 8, 2025
High-dimensional datasets typically cluster around lower-dimensional manifolds but are also often marred by severe noise, obscuring the intrinsic geometry essential for downstream learning tasks. We present a quantum algorithm for estimating the intr...
Scalable Quantum State Preparation for Encoding Genomic Data with Matrix Product States
Floyd M. Creevey, Hitham T. Hassan, James T. McCafferty +2 more·Aug 8, 2025
As quantum computing hardware advances, the need for algorithms that facilitate the loading of classical data into the quantum states of these devices has become increasingly important. This study presents a method for producing scalable quantum circ...
Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications
Philip Anton Hernicht, Alona Sakhnenko, Corey O’Meara +2 more·Aug 8, 2025
Quantum machine learning (QML) presents potential for early industrial adoption, yet limited access to quantum hardware remains a significant bottleneck for deployment of QML solutions. This work explores the use of classical surrogates to bypass thi...
Space and Time Cost of Continuous Rotations in Surface Codes
Zhu Sun, Bálint Koczor·Aug 8, 2025
While Clifford operations are relatively easy to implement in fault-tolerant quantum computers,continuous rotation gates remain a significant bottleneck in typical quantum algorithms. In this work, we ask the question:"What is the most efficient appr...
Reducing quantum resources for observable estimation with window-assisted coherent QPE
H. Apel, Cristian L. Cortes, Jessica Lemieux +1 more·Aug 8, 2025
Quantum Phase Estimation (QPE) routines are known to fail probabilistically even with perfect gates and input states. This effect stems from an incompatibility of finite-sized quantum registers to capture a phase within QPE with phase angles of infin...
Expressivity Limits in Quantum Walk-based Optimization
Guilherme A. Bridi, Debbie Lim, Lirandë Pira +3 more·Aug 7, 2025
Quantum algorithms have emerged as a promising tool to solve combinatorial optimization problems. The quantum walk optimization algorithm (QWOA) is one such variational approach that has recently gained attention. In the broader context of variationa...
Classical simulation of noisy quantum circuits via locally entanglement-optimal unravelings
Simon Cichy, Paul K. Faehrmann, Lennart Bittel +2 more·Aug 7, 2025
Classical simulations of noisy quantum circuits are instrumental to our understanding of the behavior of real-world quantum systems and the identification of regimes where one expects quantum advantage. In this work, we present a highly parallelizabl...
Entangled Quantum Walkers for Secure Quantum Key Distribution
Chia-Tso Lai·Aug 7, 2025
Quantum Key Distribution (QKD) is an emerging cryptographic method designed for secure key sharing. Its security is theoretically guaranteed by fundamental principles of quantum mechanics, making it a leading candidate for future communication protoc...
Joint parameter estimation and multidimensional reconciliation for continuous-variable quantum key distribution
Jisheng Dai, Xue-Qin Jiang, Peng Huang +2 more·Aug 7, 2025
Accurate quantum channel parameter estimation is essential for effective information reconciliation in continuous-variable quantum key distribution (CV-QKD). However, conventional maximum likelihood (ML) estimators rely on a large amount of discarded...
Quantum many-body scarring from Kramers-Wannier duality
Weslei B. Fontana, Fabrizio G. Oliviero, Yi-Ping Huang·Aug 7, 2025
Kramers-Wannier duality, a hallmark of the Ising model, has recently gained renewed interest through its reinterpretation as a non-invertible symmetry with a state-level action. Using sequential quantum circuits (SQC), we argue that this duality gove...
Quantum State Preparation Of Multiconfigurational States For Quantum Chemistry
Gabriel Greene-Diniz, Georgia Prokopiou, David Zsolt Manrique +1 more·Aug 7, 2025
The ability to prepare states for quantum chemistry is a promising feature of quantum computers, and efficient techniques for chemical state preparation is an active area of research. In this paper, we implement and investigate two methods of quantum...
A quantum turbuloscope: unlocking end-to-end quantum simulation of turbulence
Zhaoyuan Meng, Xiao-Ming Zhang, Xiao Yuan +1 more·Aug 7, 2025
Multiscale organization is a hallmark of complex natural systems, spanning climate dynamics, biological morphogenesis, and fluid turbulence. While quantum computing promises exponential speedups for solving the evolution equations governing these fie...
Optimal Qubit Purification and Unitary Schur Sampling via Random SWAP Tests
Shrigyan Brahmachari, Austin Hulse, Henry D. Pfister +1 more·Aug 7, 2025
The goal of qubit purification is to combine multiple noisy copies of an unknown pure quantum state to obtain one or more copies that are closer to the pure state. We show that a simple protocol based solely on random SWAP tests achieves the same fid...
End-to-End Efficient Quantum Thermal and Ground State Preparation Made Simple
Zhiyan Ding, Yongtao Zhan, John Preskill +1 more·Aug 7, 2025
We propose new quantum algorithms for thermal and ground state preparation based on system-bath interactions. These algorithms require only forward evolution under a system-bath Hamiltonian in which the bath is a single reusable ancilla qubit, making...
Model-based framework for automated quantification of error sources in quantum state tomography
Junpei Oba, Hsin-Pin Lo, Yasuhiro Yamada +6 more·Aug 7, 2025
High-quality quantum state generation is essential for advanced quantum information processing, including quantum communication, quantum sensing, and quantum computing. In practice, various error sources degrade the quality of quantum states, and qua...
Hybrid quantum tensor networks for aeroelastic applications
M. L. Hickmann, P. Alves, David Quero +2 more·Aug 7, 2025
We investigate the application of hybrid quantum tensor networks to aeroelastic problems, harnessing the power of Quantum Machine Learning (QML). By combining tensor networks with variational quantum circuits, we demonstrate the potential of QML to t...
MPS-JuliQAOA: User-friendly, Scalable MPS-based Simulation for Quantum Optimization
Sean Feeney, Reuben Tate, John Golden +1 more·Aug 7, 2025
We present the MPS-JuliQAOA simulator, a user-friendly, open-source tool to simulate the Quantum Approximate Optimization Algorithm (QAOA) of any optimization problem that can be expressed as diagonal Hamiltonian. By leveraging Julia-language constru...
Role of Plaquette Term in Genuine $2+1$D String Dynamics on Quantum Simulators
Yizhuo Tian, N. Srivatsa, Kaidi Xu +3 more·Aug 7, 2025
With the advent of quantum simulators of $2+1$D lattice gauge theories (LGTs), a fundamental open question is under what circumstances the observed physics is genuinely $2+1$D rather than effectively $1+1$D. Here, we address this question in the ongo...