Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Exponentially Enhanced Tripartite Coupling in Quantum Nonlinear Magnonics
Xue-Chun Chen, Zi-Jie Wang, Sheng-Bo Zheng +2 more·Sep 2, 2025
Strong and controllable tripartite interactions play a pivotal role in quantum information and nonlinear quantum optics, yet challenging to realize. In this work, we propose a hybrid system consisting of a nitrogen-vacancy (NV) center coupled to Kerr...
Optimizing digital quantum simulation of open quantum lattice models
Xie-Hang Yu, Hongchao Li, J. I. Cirac +1 more·Sep 2, 2025
Many-body systems arising in condensed matter physics and quantum optics inevitably couple to the environment and need to be modelled as open quantum systems. While near-optimal algorithms have been developed for simulating many-body quantum dynamics...
NeuroQD: A Learning-Based Simulation Framework For Quantum Dot Devices
Shize Che, Junyu Zhou, Seongwoo Oh +6 more·Sep 2, 2025
Electron spin qubits in quantum dot devices are promising for scalable quantum computing. However, architectural support is currently hindered by the lack of realistic and performant simulation methods for real devices. Physics-based tools are accura...
Traq: Estimating the Quantum Cost of Classical Programs
Anurudh Peduri, Jam Kabeer Ali Khan, Gilles Barthe +1 more·Sep 1, 2025
Predicting practical speedups offered by future quantum computers has become a major focus of the quantum community. Typically, such predictions involve numerical simulations supported by lengthy manual analyses and are carried out for one specific a...
Phase-Sensitive Measurements on a Fermi-Hubbard Quantum Processor
Alberto R. Cavallar, Luis Escalera-Moreno, Titus Franz +4 more·Sep 1, 2025
Fermionic quantum processors are a promising platform for quantum simulation of correlated fermionic matter. In this work, we study a hardware-efficient protocol for measuring complex expectation values of the time-evolution operator, commonly referr...
Measuring Less to Learn More: Quadratic Speedup in learning Nonlinear Properties of Quantum Density Matrices
Yukun Zhang, Yusen Wu, You Zhou +1 more·Sep 1, 2025
A fundamental task in quantum information science is to measure nonlinear functionals of quantum states, such as $\mathrm{Tr}(\rho^k O)$. Intuitively, one expects that computing a $k$-th order quantity generally requires $O(k)$ copies of the state $\...
Electron transfer between surface-acoustic-wave-induced moving and static quantum dots
M. Olano, G. Giedke·Sep 1, 2025
Fast long-range interactions between distant quantum dots in arrays remains an unsolved issue, which can be key to solve scalability issues in quantum simulation and computation processes, particularly related to the overhead associated with quantum ...
Cutting stabiliser decompositions of magic state cultivation with ZX-calculus
Kwok Ho Wan, Zhenghao Zhong·Sep 1, 2025
We apply the cutting stabiliser decomposition techniques [arXiv:2403.10964] to the quantum states generated from magic state cultivation [arXiv:2409.17595], post-selected upon all $+1$ measured values for simplicity. The resultant states to the $d=3$...
Sampling Continuous Quantum Dynamics from a Single Static State
S. Gemsheim, Felix Fritzsch·Sep 1, 2025
While quantum simulation is one of the most promising applications of modern quantum devices, accessible simulation times are fundamentally limited by finite coherence times due to omnipresent noise. Based on the ideas of relational dynamics/time and...
In Silico Benchmarking of Detectable Byzantine Agreement in Noisy Quantum Networks
Mayank Bhatia, Shaan Doshi, Daniel Winton +3 more·Sep 1, 2025
Quantum communication resources offer significant advantages for fault-tolerant distributed protocols, particularly in Byzantine Agreement (BA), where reliability against adversarial interference is essential. Quantum Detectable Byzantine Agreement (...
Classical algorithms for measurement-adaptive Gaussian circuits
Changhun Oh, Youngrong Lim·Aug 31, 2025
Gaussian building blocks are essential for photonic quantum information processing, and universality can be practically achieved by equipping Gaussian circuits with adaptive measurement and feedforward. The number of adaptive steps then provides a na...
MAESTROCUT: Dynamic, Noise-Adaptive, and Secure Quantum Circuit Cutting on Near-Term Hardware
Samuel Punch, Krishnendu Guha·Aug 31, 2025
We present MaestroCut, a closed-loop framework for quantum circuit cutting that adapts partitioning and shot allocation to device drift and workload variation. MaestroCut tracks a variance proxy in real time, triggers re-cutting when accuracy degrade...
Single-Shot Decoding of Biased-Tailored Quantum LDPC Codes
Devon Campbell·Aug 30, 2025
Quantum processors often exhibit biased noise (dominant $Z$ errors) and noisy readout, both of which degrade reliability and reproducibility. This work unifies two complementary strategies: bias tailoring, which realigns stabilizers to the dominant e...
Block Encoding of Sparse Matrices via Coherent Permutation
Abhishek Setty·Aug 29, 2025
Block encoding of sparse matrices underpins powerful quantum algorithms such as quantum singular value transformation, Hamiltonian simulation, and quantum linear solvers, yet its efficient gate-level realization for general sparse matrices remains a ...
Large time-step discretisation of adiabatic quantum dynamics
Dong An, Pedro C. S. Costa, Dominic W. Berry·Aug 29, 2025
Adiabatic quantum computing is a general framework for preparing eigenstates of Hamiltonians on quantum devices. However, its digital implementation requires an efficient Hamiltonian simulation subroutine, which may introduce extra computational over...
Digital quantum simulation of many-body systems: Making the most of intermediate-scale, noisy quantum computers
Alexander Miessen·Aug 29, 2025
Quantum mechanical problems are among the hardest to simulate and, in some cases, remain intractable even for the most powerful computers. Quantum computing has emerged as a new technological platform to address such challenges, with rapid advances i...
A multi-ansatz variational quantum solver for compressible flows
Shaobo Yao, Zhiyu Duan, Ziteng Wang +2 more·Aug 28, 2025
Simulating nonlinear partial differential equations (PDEs) such as the Navier--Stokes (NS) equations remains computationally intensive, especially when implicit time integration is used to capture multiscale flow dynamics. This work introduces a hybr...
Louvre: Relaxing Hardware Requirements of Quantum LDPC Codes by Routing with Expanded Quantum Instruction Set
Runshi Zhou, Fang Zhang, Hui-Hai Zhao +3 more·Aug 28, 2025
Generalized bicycle codes (GB codes) represent a promising family of quantum low-density parity-check codes, characterized by high code rates and relatively local qubit connectivity. A subclass of the GB code called bivariate bicycle codes (BB codes)...
Quantum Advantage in Computational Chemistry?
Hans Gundlach, K. Sharkey, Jayson Lynch +8 more·Aug 28, 2025
For decades, computational chemistry has been posited as one of the areas in which quantum computing would revolutionize. However, the algorithmic advantages that fault-tolerant quantum computers have for chemistry can be overwhelmed by other disadva...
Quantum algorithms for equational reasoning
Davide Rattacaso, Daniel Jaschke, Marco Ballarin +2 more·Aug 28, 2025
We introduce quantum normal form reduction, a quantum computational framework for analyzing abstract symbolic expressions - such as strings, algebraic formulas, or quantum circuits - that are equivalent under a given set of transformation rules. Thes...