Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Classical post-processing approach for quantum amplitude estimation
Yongdan Yang, Ruyu Yang·Feb 8, 2025
We propose an approach for quantum amplitude estimation (QAE) designed to enhance computational efficiency while minimizing the reliance on quantum resources. Our method leverages quantum computers to generate a sequence of signals, from which the qu...
Exponential separation criteria for quantum iterative power algorithms
Andr'as Cz'egel, Bogl'arka G.-T'oth·Feb 8, 2025
In the vast field of Quantum Optimization, Quantum Iterative Power Algorithms (QIPA) has been introduced recently with a promise of exponential speedup over an already established and well-known method, the variational Quantum Imaginary Time Evolutio...
Currency Arbitrage Optimization using Quantum Annealing, QAOA and Constraint Mapping
Sangram Deshpande, Elin Ranjan Das, F. Mueller·Feb 8, 2025
Currency arbitrage capitalizes on price discrepancies in currency exchange rates between markets to produce profits with minimal risk. By employing a combinatorial optimization problem, one can ascertain optimal paths within directed graphs, thereby ...
Exceptional-Point-Induced Nonequilibrium Entanglement Dynamics in Bosonic Networks
Chenghe Yu, Mingsheng Tian, Ningxin Kong +3 more·Feb 7, 2025
Exceptional points (EPs), arising in non-Hermitian systems, have garnered significant attention in recent years, enabling advancements in sensing, wave manipulation, and mode selectivity. However, their role in quantum systems, particularly in influe...
Robust Quantum Control for Bragg Pulse Design in Atom Interferometry
Luke S. Baker, Andre Luiz P. de Lima, Andrew Harter +6 more·Feb 7, 2025
We formulate a robust optimal control algorithm to synthesize minimum energy pulses that can transfer a cold atom system into various momentum states. The algorithm uses adaptive linearization of the evolution operator and sequential quadratic progra...
Arbitrary state preparation in quantum harmonic oscillators using neural networks
Nicolas Parra-A, Vladimir Vargas-Calderón, Herbert Vinck-Posada·Feb 7, 2025
Preparing quantum states is a fundamental task in various quantum algorithms. In particular, state preparation in quantum harmonic oscillators (HOs) is crucial for the creation of qudits and the implementation of high-dimensional algorithms. In this ...
Improved finite-size effects in QKD protocols with applications to decoy-state QKD
Lars Kamin, Devashish Tupkary, Norbert Lutkenhaus·Feb 7, 2025
We present a finite-size security proof for generic quantum key distribution protocols against independent and identically distributed collective attacks and extend it to coherent attacks using the postselection technique. This work introduces two si...
Non-Markovianity vs athermality: perturbation-enhanced information backflow
Anindita Sarkar, Debarupa Saha, Ujjwal Sen·Feb 7, 2025
Non-Markovianity and athermality are useful resources in quantum technologies, and it is therefore important to understand the relations between the two, for general quantum dynamics. We propose three measures of non-Markovianity, first within the am...
Heuristic Time Complexity of NISQ Shortest-Vector-Problem Solvers
Miloš Prokop, P. Wallden·Feb 7, 2025
The shortest vector problem (SVP) is central to the security of lattice-based cryptography, forming the foundation of two of the three NIST-standardized postquantum cryptosystems. Understanding how quantum algorithms perform on SVP is vital for asses...
Programming optical-lattice Fermi-Hubbard quantum simulators
C. Tabares, Christian Kokail, Peter Zoller +2 more·Feb 7, 2025
Fermionic atoms in optical lattices provide a native implementation of Fermi-Hubbard (FH) models that can be used as analog quantum simulators of many-body fermionic systems. Recent experimental advances include the time-dependent local control of ch...
Quantum Supremacy in Tomographic Imaging: Advances in Quantum Tomography Algorithms
Hyunju Lee, Kyungtaek Jun·Feb 7, 2025
Quantum computing has emerged as a transformative paradigm, capable of tackling complex computational problems that are infeasible for classical methods within a practical timeframe. At the core of this advancement lies the concept of quantum suprema...
Quantum speedup of non-linear Monte Carlo problems
Jose H. Blanchet, Yassine Hamoudi, Mario Szegedy +1 more·Feb 7, 2025
The mean of a random variable can be understood as a linear functional on the space of probability distributions. Quantum computing is known to provide a quadratic speedup over classical Monte Carlo methods for mean estimation. In this paper, we inve...
First-principle crosstalk dynamics and Hamiltonian learning via Rabi experiments
Jan Balewski, Adam Winick, Yilun Xu +5 more·Feb 7, 2025
Coherent errors constitute a significant barrier to successful large-scale quantum computation. One such error mechanism is crosstalk, which violates spatial locality or the independence of operations. We present a description of crosstalk and learn ...
Gaussian Models to Non-Gaussian Realms of Quantum Photonic Simulators
D. D. K. Wayo, Rodrigo Alves Dias, Masoud Darvish Ganji +2 more·Feb 7, 2025
Quantum photonic simulators have emerged as indispensable tools for modeling and optimizing quantum photonic circuits, bridging the gap between theoretical models and experimental implementations. This review explores the landscape of photonic quantu...
Efficient Quantum Optimization via Dynamical Simulation
Ahmet Burak Catli, Sophia Simon, Nathan Wiebe·Feb 6, 2025
We provide several quantum algorithms for continuous optimization that do not require gradient estimation. Instead, we encode the optimization problem into the dynamics of a physical system and coherently simulate the time evolution. We focus on the ...
Variational decision diagrams for quantum-inspired machine learning applications
Vladimir Vargas-Calderón, Santiago Acevedo-Mancera, Herbert Vinck-Posada·Feb 6, 2025
Decision diagrams (DDs) have emerged as an efficient tool for simulating quantum circuits due to their capacity to exploit data redundancies in quantum states and quantum operations, enabling the efficient computation of probability amplitudes. Howev...
Variational Quantum Optimization with Continuous Bandits
Marc Wanner, Johan Jonasson, Emil Carlsson +1 more·Feb 6, 2025
We introduce a novel approach to variational Quantum algorithms (VQA) via continuous bandits. VQA are a class of hybrid Quantum-classical algorithms where the parameters of Quantum circuits are optimized by classical algorithms. Previous work has use...
Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Involving the Schrödinger Equation
Kaichen Ouyang, Mingyang Yu, Zong Ke +3 more·Feb 6, 2025
Physics-informed Neural Networks (PINNs) show that embedding physical laws directly into the learning objective can significantly enhance the efficiency and physical consistency of neural network solutions. Similar to optimizing loss functions in mac...
Pre-stack and post-stack seismic inversion using quantum computing
Divakar Vashisth, Rodney Lessard, T. Mukerji·Feb 6, 2025
Quantum computing harnesses the principles of quantum mechanics to solve problems that are intractable for classical computers. Quantum annealing, a specialized approach within quantum computing, is particularly effective for optimization tasks, as i...
Lattice stitching by eigenvector continuation for Holstein polaron
E. Torabian, R. Krems·Feb 6, 2025
Simulations of lattice particle - phonon systems are fundamentally restricted by the exponential growth of the number of quantum states with the lattice size. Here, we demonstrate an algorithm that constructs the lowest eigenvalue and eigenvector for...