Papers
Live trends in quantum computing research, updated daily from arXiv.
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An encoding of argumentation problems using quadratic unconstrained binary optimization
Marco Baioletti, Francesco Santini·Aug 26, 2024
In this paper, we develop a way to encode several NP-Complete problems in Abstract Argumentation to Quadratic Unconstrained Binary Optimization (QUBO) problems. In this form, a solution for a QUBO problem involves minimizing a quadratic function over...
Towards Equivalence Checking of Classical Circuits Using Quantum Computing
Nils Quetschlich, Tobias Forster, Adrian Osterwind +2 more·Aug 26, 2024
Quantum computers and quantum algorithms have made great strides in the last few years and promise improvements over classical computing for specific tasks. Although the current hardware is not yet ready to make real impacts at the time of writing, t...
Non-iterative disentangled unitary coupled-cluster based on lie-algebraic structure
Mohammad Haidar, Olivier Adjoua, Siwar Badreddine +2 more·Aug 26, 2024
Due to their non-iterative nature, fixed unitary coupled cluster (UCC) ansätze are attractive for performing quantum chemistry variational quantum eigensolver (VQE) computations as they avoid pre-circuit measurements on a quantum computer. However, a...
Measuring Chern–Simons level k by braiding SU(2)k\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$SU(2)_k$$\end{documen
A. Belov, A. Morozov·Aug 26, 2024
Chern–Simons theory in application to the quantum computing is actively developing at the present. However, most discussed are the questions of using materials with known parameters and building corresponding quantum gates and algorithms. In this pap...
Recipe for local simulation of strongly correlated fermionic matter on quantum computers: The two-dimensional Fermi-Hubbard model
Arash Jafarizadeh, F. Pollmann, A. Gammon-Smith·Aug 26, 2024
The simulation of quantum many-body systems, relevant for quantum chemistry and condensed matter physics, is one of the most promising applications of near-term quantum computers before fault-tolerance. However, since the vast majority of quantum com...
Using a high-fidelity numerical model to infer the shape of a few-hole Ge quantum dot
Mitchell Brickson, N. Jacobson, Andrew J. Miller +9 more·Aug 26, 2024
The magnetic properties of hole quantum dots in Ge are sensitive to their shape due to the interplay between strong spin-orbit coupling and confinement. We show that the split-off band, surrounding SiGe layers, and hole-hole interactions have a stron...
Bosonic quantum error correction with neutral atoms in optical dipole traps
Leon H. Bohnmann, David F. Locher, Johannes Zeiher +1 more·Aug 26, 2024
Bosonic quantum error correction codes encode logical qubits in the Hilbert space of one or multiple harmonic oscillators. A prominent class of bosonic codes is that of Gottesman-Kitaev-Preskill (GKP) codes of which implementations have been demonstr...
Circumventing traps in analog quantum machine learning algorithms through co-design
Rodrigo Araiza Bravo, Jorge Garcia Ponce, Hong-Ye Hu +1 more·Aug 26, 2024
Quantum machine learning algorithms promise to deliver near-term, applicable quantum computation on noisy, intermediate-scale systems. While most of these algorithms leverage quantum circuits for generic applications, a recent set of proposals, calle...
A Review of Quantum Scientific Computing Algorithms for Engineering Problems
O. M. Raisuddin, Suvranu De·Aug 25, 2024
Quantum computing, leveraging quantum phenomena like superposition and entanglement, is emerging as a transformative force in computing technology, promising unparalleled computational speed and efficiency crucial for engineering applications. This a...
Verifiable cloud-based variational quantum algorithms
Junhong Yang, Banghai Wang, Junyu Quan +1 more·Aug 25, 2024
Variational quantum algorithms (VQAs) have shown potential for quantum advantage with noisy intermediate-scale quantum (NISQ) devices for quantum machine learning (QML). However, given the high cost and limited availability of quantum resources, dele...
Quantum-Powered Personalized Learning
Yifan Zhou, C. Xu, Mingi Song +1 more·Aug 25, 2024
This paper explores the transformative potential of quantum computing in the realm of personalized learning. Traditional machine learning models and GPU-based approaches have long been utilized to tailor educational experiences to individual student ...
Entanglement-induced exponential advantage in amplitude estimation via state matrixization
Zhong-Xia Shang, Qi Zhao·Aug 25, 2024
Estimating quantum amplitude, or the overlap between two quantum states, is a fundamental task in quantum computing and underpins numerous quantum algorithms. In this work, we introduce a novel algorithmic framework for quantum amplitude estimation b...
Robust optimal control for a systematic error in the control amplitude of transmon qubits
Max Cykiert, E. Ginossar·Aug 24, 2024
In the era of Noisy Intermediate-Scale Quantum computing as well as in error correcting circuits, physical qubits coherence time and high fidelity gates are essential to the functioning of quantum computers. In this paper, we demonstrate theoreticall...
Quantum error correction below the surface code threshold
R. Acharya, Laleh Aghababaie-Beni, I. Aleiner +246 more·Aug 24, 2024
Quantum error correction1, 2, 3–4 provides a path to reach practical quantum computing by combining multiple physical qubits into a logical qubit, in which the logical error rate is suppressed exponentially as more qubits are added. However, this exp...
Grover Adaptive Search for Maximum Likelihood Detection of Generalized Spatial Modulation
Kein Yukiyoshi, Taku Mikuriya, H. Rou +2 more·Aug 24, 2024
We propose a quantum-assisted solution for the maximum likelihood detection (MLD) of generalized spatial modulation (GSM) signals. Specifically, the MLD of GSM is first formulated as a novel polynomial optimization problem, followed by the applicatio...
Quantum Rainbow Codes: Achieving Linear Rate, Growing Distance and Transversal Non-Clifford Gates with Generalised Colour Codes
Thomas R. Scruby, Arthur Pesah, Mark Webster·Aug 23, 2024
We introduce rainbow codes, a novel class of quantum error correcting codes generalising colour codes and pin codes. Rainbow codes can be defined on any $D$-dimensional simplicial complex that admits a valid $(D + 1)$-colouring of its $0$-simplices. ...
ReCon: Reconfiguring Analog Rydberg Atom Quantum Computers for Quantum Generative Adversarial Networks
Nicholas S. DiBrita, Daniel Leeds, Yuqian Huo +2 more·Aug 23, 2024
Quantum computing has shown theoretical promise of speedup in several machine learning tasks, including generative tasks using generative adversarial networks (GANs). While quantum computers have been implemented with different types of technologies,...
Empirical power of quantum encoding methods for binary classification
G. Luca, Andrew Vlasic, Michael Vitz +1 more·Aug 23, 2024
Quantum machine learning is one of the many potential applications of quantum computing, each of which is hoped to provide some novel computational advantage. However, quantum machine learning applications often fail to outperform classical approache...
Single-qubit rotations on a binomial code without ancillary qubits
Yuki Tanaka, Yuichiro Mori, Yuta Shingu +3 more·Aug 23, 2024
Great attention has been paid to binomial codes utilizing bosonic systems as logical qubits with error correction capabilities. However, implementing single-qubit rotation operations on binomial codes has proven challenging, requiring an ancillary qu...
Towards a Resource-Optimized Dynamic Quantum Algorithm via Non-iterative Auxiliary Subspace Corrections
Chayan Patra, Debaarjun Mukherjee, Sonaldeep Halder +2 more·Aug 23, 2024
Recent quantum algorithms pertaining to electronic structure theory primarily focus on threshold-based dynamic construction of ansatz by selectively including important many-body operators. These methods can be made systematically more accurate by tu...