Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hybrid Quantum-Classical Algorithms
Roberto Campos·Jun 18, 2024
This thesis explores hybrid algorithms that combine classical and quantum computing to enhance the performance of classical algorithms. Two approaches are studied: a hybrid search and sample optimization algorithm and a classical algorithm that asses...
Hybrid Atom Tweezer Array of Nuclear Spin and Optical Clock Qubits
Y. Nakamura, Toshi Kusano, Rei Yokoyama +6 more·Jun 18, 2024
While data qubits with a long coherence time are essential for the storage of quantum information, ancilla qubits are pivotal in quantum error correction (QEC) for fault-tolerant quantum computing. The recent development of optical tweezer arrays, su...
Green's function Monte Carlo combined with projected entangled pair state approach to the frustrated <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>J</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mtext>−</mml:mtext><mml:msub><mml:mi>J</mml:mi><mml:mn>2</mml:mn></mml:msub></m
He-Yu Lin, Yibin Guo, Rong-Qiang He +2 more·Jun 17, 2024
The tensor network algorithm, a family of prevalent numerical methods for quantum many-body problems, aptly captures the entanglement properties intrinsic to quantum systems, enabling precise representation of quantum states. However, its computation...
Solving fractional differential equations on a quantum computer: A variational approach
F. Y. Leong, Dax Enshan Koh, Jian Feng Kong +6 more·Jun 13, 2024
We introduce an efficient variational hybrid quantum-classical algorithm designed for solving Caputo time-fractional partial differential equations. Our method employs an iterable cost function incorporating a linear combination of overlap history st...
Buildung Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
Alona Sakhnenko, Julian Sikora, J. Lorenz·Jun 10, 2024
In this work, we are introducing a Quantum-Classical Bayesian Neural Network (QCBNN) that is capable to perform uncertainty-aware classification of classical medical dataset. This model is a symbiosis of a classical Convolutional NN that performs ult...
Enabling large-scale and high-precision fluid simulations on near-term quantum computers
Zhao-Yun Chen, Teng-Yang Ma, Chuang-Chao Ye +31 more·Jun 10, 2024
Quantum computational fluid dynamics (QCFD) offers a promising alternative to classical computational fluid dynamics (CFD) by leveraging quantum algorithms for higher efficiency. This paper introduces a comprehensive QCFD method, including an iterati...
Relativistic VQE calculations of molecular electric dipole moments on trapped ion quantum hardware
Palak Chawla, Shweta, K. R. Swain +9 more·Jun 7, 2024
The quantum-classical hybrid variational quantum eigensolver (VQE) algorithm is among the most actively studied topics in atomic and molecular calculations on quantum computers, yet few studies address properties other than energies or account for re...
iTrust: Trust-Region Optimisation with Ising Machines
Sayantan Pramanik, Kaumudibikash Goswami, Sourav Chatterjee +1 more·Jun 6, 2024
In this work, we present a heretofore unseen application of Ising machines to perform trust region-based optimisation with box constraints. This is done by considering a specific form of opto-electronic oscillator-based coherent Ising machines with c...
Hybrid Quantum-Classical Convolutional Neural Networks for Image Classification in Multiple Color Spaces
Kwok-Ho Ng, Tingting Song, Zhiquan Liu·Jun 4, 2024
The growing complexity and scale of image processing tasks challenge classical convolutional neural networks (CNNs) with high computational costs. Hybrid quantum-classical convolutional neural networks (HQCNNs) show potential to improve performance b...
Integrated error-suppressed pipeline for quantum optimization of nontrivial binary combinatorial optimization problems on gate-model hardware at the 156-qubit scale
Natasha Sachdeva, Gavin S. Hartnett, Smarak Maity +12 more·Jun 3, 2024
We introduce a novel hybrid quantum-classical variational optimization method for unconstrained binary combinatorial optimization problems on gate-model quantum computers, integrating a custom variational ansatz, staged feedback-based dual variationa...
Incompressible Navier-Stokes solve on noisy quantum hardware via a hybrid quantum-classical scheme
Zhixin Song, Robert Deaton, Bryan Gard +1 more·Jun 1, 2024
Partial differential equation solvers are required to solve the Navier-Stokes equations for fluid flow. Recently, algorithms have been proposed to simulate fluid dynamics on quantum computers. Fault-tolerant quantum devices might enable exponential s...
A Novel Quantum-Classical Hybrid Algorithm for Determining Eigenstate Energies in Quantum Systems
Qing-Xing Xie, Yan Zhao·Jun 1, 2024
Developing efficient quantum computing algorithms is essential for tackling computationally challenging problems across various fields. This paper presents a novel quantum algorithm, XZ24, for efficiently computing the eigen-energy spectra of arbitra...
Hybrid Quantum Algorithm for Simulating Real-Time Thermal Correlation Functions
Elliot C. Eklund, N. Ananth·May 30, 2024
We present a hybrid Path Integral Monte Carlo (hPIMC) algorithm to calculate real-time quantum thermal correlation functions and demonstrate its application to open quantum systems. The hPIMC algorithm leverages the successes of classical PIMC as a c...
First Tree-like Quantum Data Structure: Quantum B+ Tree
Hao Liu, Xiaotian You, Raymond Chi-Wing Wong·May 30, 2024
Quantum computing is a popular topic in computer science, which has recently attracted many studies in various areas such as machine learning and network. However, the topic of quantum data structures seems neglected. There is an open problem in the ...
A quantum implementation of high-order power method for estimating geometric entanglement of pure states
Andrii Semenov, Niall Murphy, Simone Patscheider +2 more·May 29, 2024
Entanglement is one of the fundamental properties of a quantum state and is a crucial differentiator between classical and quantum computation. There are many ways to define entanglement and its measure, depending on the problem or application under ...
Efficient Optimal Control of Open Quantum Systems
Wenhao He, Tongyang Li, Xiantao Li +3 more·May 29, 2024
The optimal control problem for open quantum systems can be formulated as a time-dependent Lindbladian that is parameterized by a number of time-dependent control variables. Given an observable and an initial state, the goal is to tune the control va...
Variational Quantum Framework for Partial Differential Equation Constrained Optimization
Amit Surana, Abeynaya Gnanasekaran·May 26, 2024
We present a novel variational quantum framework for linear partial differential equation (PDE) constrained optimization problems. Such problems arise in many scientific and engineering domains. For instance, in aerodynamics, the PDE constraints are ...
Hybrid Quantum Downsampling Networks
Yifeng Peng, Xinyi Li, Zhiding Liang +1 more·May 25, 2024
Classical max pooling plays a crucial role in reducing data dimensionality among various well-known deep learning models, yet it often leads to the loss of vital information. We proposed a novel hybrid quantum downsampling module (HQD), which is a no...
Digitized counterdiabatic quantum algorithms for logistics scheduling
Archismita Dalal, I. Montalban, N. N. Hegade +7 more·May 24, 2024
We study a job shop scheduling problem for an automatized robot in a high-throughput laboratory and a travelling salesperson problem with recently proposed digitized counterdiabatic quantum optimization (DCQO)algorithms. In DCQO, we find the solution...
Bias-field digitized counterdiabatic quantum optimization
Alejandro Gomez Cadavid, Archismita Dalal, Anton Simen +2 more·May 22, 2024
We introduce a method for solving combinatorial optimization problems on digital quantum computers, where we incorporate auxiliary counterdiabatic (CD) terms into the adiabatic Hamiltonian, while integrating bias terms derived from an iterative digit...