Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Computing n-time correlation functions without ancilla qubits
Xiaoyang Wang, Long Xiong, Xiaoxia Cai +1 more·Apr 17, 2025
The $n$-time correlation function is pivotal for establishing connections between theoretical predictions and experimental observations of a quantum system. Conventional methods for computing $n$-time correlation functions on quantum computers, such ...
Transferring linearly fixed QAOA angles: performance and real device results
R. Sakai, Hiromichi Matsuyama, Wai-Hong Tam +1 more·Apr 17, 2025
Quantum Approximate Optimization Algorithm (QAOA) enables solving combinatorial optimization problems on quantum computers by optimizing variational parameters for quantum circuits. We investigate a simplified approach that combines linear parameteri...
Optimized Clifford Noise Reduction: Theory, Simulations and Experiments
Edwin Tham, Nicolas Delfosse·Apr 17, 2025
We propose several optimizations of the CliNR partial error correction scheme which implements Clifford circuits by consuming a resource state. Errors are corrected by measuring a sequence of Pauli operators that we refer to as the verification seque...
Practical Application of the Quantum Carleman Lattice Boltzmann Method in Industrial CFD Simulations
Francesco Turro, Alessandra Lignarolo, Daniele Dragoni·Apr 17, 2025
Computational Fluid Dynamics simulations are crucial in industrial applications but require extensive computational resources, particularly for extreme turbulent regimes. While classical digital approaches remain the standard, quantum computing promi...
Energy landscape plummeting in variational quantum eigensolver: Subspace optimization, non-iterative corrections, and generator-informed initialization for improved quantum efficiency.
Chayan Patra, Rahul Maitra·Apr 17, 2025
Variational Quantum Eigensolver (VQE) faces significant challenges due to hardware noise and the presence of barren plateaus and local traps in the optimization landscape. To mitigate the detrimental effects of these issues, we introduce a general fo...
Valley Splitting Correlations Across a Silicon Quantum Well Containing Germanium
Jonathan C. Marcks, Emily Eagen, Emma C. Brann +12 more·Apr 16, 2025
Quantum dots in SiGe/Si/SiGe heterostructures host coherent electron spin qubits, which are promising for future quantum computers. The silicon quantum well hosts near-degenerate electron valley states, creating a low-lying excited state that is know...
On the Convergence of Markov Chain Distribution within Quantum Walk Circuit Subspace
Aingeru Ramos, Jose A. Pascual, Javier Navaridas +1 more·Apr 16, 2025
Markov Chain Monte Carlo (MCMC) methods are algorithms for sampling probability distributions, commonly applied to the Boltzmann distribution in physical and chemical models such as protein folding and the Ising model. These methods enable exploratio...
Quantum simulations of nuclear resonances with variational methods
A. Singh, P. Siwach, P. Arumugam·Apr 16, 2025
The many-body nature of nuclear physics problems poses significant computational challenges. These challenges become even more pronounced when studying the resonance states of nuclear systems, which are governed by the non-Hermitian Hamiltonian. Quan...
Advancing quantum simulations of nuclear shell model with noise-resilient protocols
Nifeeya Singh, P. Siwach, P. Arumugam·Apr 16, 2025
Some of the computational limitations in solving the nuclear many-body problem could be overcome by utilizing quantum computers. The nuclear shell-model calculations providing deeper insights into the properties of atomic nuclei, is one such case wit...
Phonon-coupled hole-spin qubits in high-purity germanium: design and modeling of a scalable architecture
D. Mei, S. Panamaldeniya, K. Dong +3 more·Apr 16, 2025
We present a design and modeling of a scalable quantum processor architecture utilizing hole-spin qubits defined in gate-controlled germanium (Ge) quantum dots, where coherent spin–phonon coupling is predicted to facilitate qubit manipulation and lon...
Locality-Aware Pauli-Based Computation for Local Magic State Preparation
Yutaka Hirano, Keisuke Fujii·Apr 16, 2025
Magic state distillation, a process for preparing magic states needed to implement non-Clifford gates faulttolerantly, plays a crucial role in fault-tolerant quantum computation. Historically, it has been a major bottleneck, leading to the pursuit of...
Optically Switchable Fluorescence Enhancement at Critical Interparticle Distances
Arda Gulucu, Emre Ozan Polat·Apr 15, 2025
Plasmonic nanostructures provide electric field localization to be used as a fluorescence enhancement tool for the closely located fluorophores. However, metallic structures exhibit non-radiative energy transfer at close proximity, which suppresses t...
Fault Tolerant Quantum Simulation via Symplectic Transvections
Zhuangzhuang Chen, Jack Owen Weinberg, Narayanan Rengaswamy·Apr 15, 2025
Conventional approaches to fault-tolerant quantum computing realize logical circuits gate-by-gate, synthesizing each gate independently on one or more code blocks. This incurs excess overhead and doesn't leverage common structures in quantum algorith...
Nonstabilizerness in open XXZ spin chains: Universal scaling and dynamics
Doru Sticlet, Balázs Dóra, Dominik Szombathy +2 more·Apr 15, 2025
Magic, or nonstabilizerness, is a crucial quantum resource, yet its dynamics in open quantum systems remain largely unexplored. We investigate magic in the open XXZ spin chain under either boundary gain and loss, or bulk dephasing using the stabilize...
Experimental Observation of Single- and Multisite Matter-Wave Solitons in an Optical Accordion Lattice
Robbie Cruickshank, Francesco Lorenzi, Arthur La Rooij +5 more·Apr 15, 2025
We report the experimental observation of discrete bright matter-wave solitons with attractive interaction in an optical lattice. Using an accordion lattice with adjustable spacing, we prepare a Bose-Einstein condensate of cesium atoms across a defin...
Q-Cluster: Quantum Error Mitigation Through Noise-Aware Unsupervised Learning
Hrushikesh Pramod Patil, Dror Baron, Huiyang Zhou·Apr 15, 2025
Quantum error mitigation (QEM) is critical in reducing the impact of noise in the pre-fault-tolerant era, and is expected to complement error correction in fault-tolerant quantum computing (FTQC). In this paper, we propose a novel QEM approach, Q-Clu...
Algorithmic Advances Towards a Realizable Quantum Lattice Boltzmann Method
Apurva Tiwari, Jason Iaconis, Jezer Jojo +4 more·Apr 15, 2025
The Quantum Lattice Boltzmann Method (QLBM) is one of the most promising approaches for realizing the potential of quantum computing in simulating computational fluid dynamics. Many recent works mostly focus on classical simulation, and rely on full ...
Iterative Linear Quadratic Regulator for Quantum Optimal Control
D. Heimann, Felix Wiebe, Tahereh Abad +4 more·Apr 15, 2025
Quantum optimal control for gate optimization aims to provide accurate, robust, and fast pulse sequences to achieve gate fidelities on quantum systems below the error correction threshold. Many methods have been developed and successfully applied in ...
Assessing Tensor Network Quantum Emulators for Hamiltonian Simulation of Pharmaceutical Molecules: Challenges and Limitations in Drug Discovery Applications
Marek Kowalik, E. Michael, Peter Pog'any +1 more·Apr 15, 2025
Quantum computing holds promise for revolutionizing computational chemistry simulations, particularly in drug discovery. However, current quantum hardware is limited by noise and scale, necessitating bridging technologies. This study provides an init...
The stellar decomposition of Gaussian quantum states
Arsalan Motamedi, Yuan Yao, Kasper Nielsen +4 more·Apr 14, 2025
We introduce the stellar decomposition, a novel method for characterizing non-Gaussian states produced by photon-counting measurements on Gaussian states. Given an $(m+n)$-mode Gaussian state $G$, we express it as an $(m+n)$-mode "Gaussian core state...