Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Hybrid GRU-CNN bilinear parameters initialization for quantum approximate optimization algorithm
Zuyu Xu, Pengnian Cai, Kang Shen +7 more·Nov 14, 2023
The Quantum Approximate Optimization Algorithm (QAOA), a pivotal paradigm in the realm of variational quantum algorithms (VQAs), offers promising computational advantages for tackling combinatorial optimization problems. Well-defined initial circuit ...
Hybrid synaptic structure for spiking neural network realization
S. Razmkhah, M. A. Karamuftuoglu, A. Bozbey·Nov 13, 2023
Neural networks and neuromorphic computing represent fundamental paradigms as alternative approaches to Von-Neumann-based implementations, advancing in the applications of deep learning and machine vision. Nonetheless, conventional semiconductor circ...
Building Trust in the Quantum Cloud with Physical Unclonable Functions
Behnam Tonekaboni, P. Gokhale, Kaitlin N. Smith·Nov 13, 2023
As cloud-based quantum computing expands, securing access to quantum hardware is increasingly critical. We present an authentication protocol that leverages intrinsic quantum device properties to construct Quantum Physical Unclonable Functions (Q-PUF...
Creation of Two-Mode Squeezed States in Atomic Mechanical Oscillators.
W. Leong, Mingjie Xin, Zilong Chen +2 more·Nov 8, 2023
Two-mode squeezed states, which are entangled states with bipartite quantum correlations in continuous-variable systems, are crucial in quantum information processing and metrology. Recently, continuous-variable quantum computing with the vibrational...
Cryogenic Resonant Amplifier for Electron-on-Helium Image Charge Readout
Mikhail Belianchikov, Jakob A. Kraus, Denis Konstantinov·Nov 8, 2023
An electron-on-helium qubit is a promising physical platform for quantum information technologies. Among all the “blueprints” for the qubit realization, a hybrid Rydberg-spin qubit seems to be a promising one toward quantum computing using electron s...
From conceptual spaces to quantum concepts: formalising and learning structured conceptual models
Sean Tull, R. A. Shaikh, Sara Sabrina Zemljič +1 more·Nov 6, 2023
In this article we present a new modelling framework for structured concepts using a category-theoretic generalisation of conceptual spaces, and show how the conceptual representations can be learned automatically from data, using two very different ...
Quantum Task Offloading with the OpenMP API
Joseph Lee, O. T. Brown, M. Bull +4 more·Nov 6, 2023
Most of the widely used quantum programming languages and libraries are not designed for the tightly coupled nature of hybrid quantum-classical algorithms, which run on quantum resources that are integrated on-premise with classical HPC infrastructur...
Ground-state-energy calculation for the water molecule on a superconducting quantum processor
Michael A. Jones, H. J. Vallury, L. Hollenberg·Nov 5, 2023
The accurate computation of properties of large molecular systems is classically infeasible and is one of the applications in which it is hoped that quantum computers will demonstrate an advantage over classical devices. However, due to the limitatio...
ADAPT-QSCI: Adaptive Construction of an Input State for Quantum-Selected Configuration Interaction.
Yuya O. Nakagawa, Masahiko Kamoshita, Wataru Mizukami +2 more·Nov 2, 2023
We present a quantum-classical hybrid algorithm for calculating the ground state and its energy of the quantum many-body Hamiltonian by proposing an adaptive construction of a quantum state for the quantum-selected configuration interaction (QSCI) me...
Fault-Tolerant Operation of Bosonic Qubits with Discrete-Variable Ancillae
Qiang-Da Xu, Pei Zeng, Daohong Xu +1 more·Oct 31, 2023
Fault-tolerant quantum computation with bosonic qubits often necessitates the use of noisy discrete-variable ancillae. In this work, we establish a comprehensive and practical fault-tolerance framework for such a hybrid system and synthesize it with ...
Machine learning on quantum experimental data toward solving quantum many-body problems
Gyungmin Cho, Dohun Kim·Oct 30, 2023
Advancements in the implementation of quantum hardware have enabled the acquisition of data that are intractable for emulation with classical computers. The integration of classical machine learning (ML) algorithms with these data holds potential for...
A Hybrid Quantum Algorithm for Load Flow
David Neufeld, S. F. Hafshejani, D. Gaur +1 more·Oct 30, 2023
The goal of the load flow study is to ensure that electrical power is delivered efficiently and reliably to end-users while maintaining the stability and security of the power system. Newton-Raphson is a numerical method used widely for load flow ana...
Symmetry breaking and restoration for many-body problems treated on quantum computers
A. Ruiz·Oct 27, 2023
This thesis explores the application of the Symmetry-Breaking/Symmetry-Restoration methodology on quantum computers to better approximate a Hamiltonian's ground state energy within a variational framework in many-body physics. This involves intention...
From Heisenberg to Hubbard: An initial state for the shallow quantum simulation of correlated electrons
Bruno Murta, J. Fern'andez-Rossier·Oct 25, 2023
The widespread use of the noninteracting ground state as the initial state for the digital quantum simulation of the Fermi-Hubbard model is largely due to the scarcity of alternative easy-to-prepare approximations to the exact ground state in the lit...
Optimizing edge-state transfer in a Su-Schrieffer-Heeger chain via hybrid analog-digital strategies
Sebastián V. Romero, Xi Chen, G. Platero +1 more·Oct 17, 2023
The Su-Schrieffer-Heeger (SSH) chain, which serves as a paradigmatic model for comprehending topological phases and their associated edge states, plays an essential role in advancing our understanding of quantum materials and quantum information proc...
Measurement of cryoelectronics heating using a local quantum dot thermometer in silicon
Mathieu de Kruijf, G. M. Noah, A. Gomez-Saiz +2 more·Oct 17, 2023
Silicon technology offers the enticing opportunity for monolithic integration of quantum and classical electronic circuits. However, the power consumption levels of classical electronics may compromise the local chip temperature and hence the fidelit...
Hybrid Quantum-Classical Graph Neural Networks for Tumor Classification in Digital Pathology
Anupama Ray, Dhiraj Madan, Srushti Patil +2 more·Oct 17, 2023
Advances in classical machine learning and single-cell technologies have paved the way for understanding interactions between disease cells and tumor microenvironments towards accelerating therapeutic discovery. However, challenges in these machine l...
Quantum hardware calculations of the activation and dissociation of nitrogen on iron clusters and surfaces.
Georgia Christopoulou, Cono Di Paola, Floris Elzinga +3 more·Oct 16, 2023
Catalytic processes are the cornerstone of chemical industry, and catalytic conversion of nitrogen to ammonia remains one of the largest industrial processes implemented. Rational design of catalysts and catalytic reactions largely depends on approxi...
Hybrid quantum-classical algorithm for the transverse-field Ising model in the thermodynamic limit
Sumeet, M. Hörmann, K. P. Schmidt·Oct 11, 2023
We describe a hybrid quantum-classical approach to treat quantum many-body systems in the thermodynamic limit. This is done by combining numerical linked-cluster expansions (NLCE) with the variational quantum eigensolver (VQE). Here, the VQE algorith...
A quantum annealing-sequential quadratic programming assisted finite element simulation for non-linear and history-dependent mechanical problems
V. Nguyen, F. Remacle, L. Noels·Oct 10, 2023
We propose a framework to solve non-linear and history-dependent mechanical problems based on a hybrid classical computer -- quantum annealer approach. Quantum Computers are anticipated to solve particular operations exponentially faster. The availab...