Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Wormholes and factorization in exact effective theory
Sergio Hernandez-Cuenca·Apr 15, 2024
We study the general framework of effective theories obtained via exact path integration of a complete theory over some sector of its degrees of freedom. Theories constructed this way contain multi-integrals which couple fields arbitrarily far apart,...
Quantum optimal control theory for the shaping of flying qubits
Xue Dong, Xi Cao, Wen-Long Li +3 more·Apr 15, 2024
The control of flying qubits carried by itinerant photons is ubiquitous in quantum networks. Beside their logical states, the shape of flying qubits must also be tailored for high-efficiency information transmission. In this paper, we introduce quant...
Simulating Electron Transfer in a Molecular Triad within an Optical Cavity Using NISQ Computers
Ningyi Lyu, Pouya Khazaei, Eitan Geva +1 more·Apr 15, 2024
We present a quantum algorithm based on the Tensor-Train Thermo-Field Dynamics (TT-TFD) method to simulate the open quantum system dynamics of intramolecular charge transfer modulated by an optical cavity on noisy intermediate-scale quantum (NISQ) co...
Variational quantum simulation: a case study for understanding warm starts
Ricard Puig-i-Valls, Marc Drudis, Supanut Thanasilp +1 more·Apr 15, 2024
The barren plateau phenomenon, characterized by loss gradients that vanish exponentially with system size, poses a challenge to scaling variational quantum algorithms. Here we explore the potential of warm starts, whereby one initializes closer to a ...
Dynamical mean field theory for real materials on a quantum computer
Johannes Selisko, Maximilian Amsler, Christopher Wever +6 more·Apr 15, 2024
Quantum computers (QC) could harbor the potential to significantly advance materials simulations, particularly at the atomistic scale involving strongly correlated fermionic systems, where an accurate description of quantum many-body effects scales u...
Quantum subspace expansion in the presence of hardware noise
João C. Getelina, Prachi Sharma, T. Iadecola +2 more·Apr 14, 2024
Finding ground state energies on current quantum processing units (QPUs) using algorithms such as the variational quantum eigensolver (VQE) continues to pose challenges. Hardware noise severely affects both the expressivity and trainability of parame...
Extension of Clifford Data Regression Methods for Quantum Error Mitigation
J. Pérez-Guijarro, A. Pagés-Zamora, J. Fonollosa·Apr 14, 2024
In addressing the challenge posed by noise in actual quantum devices, the application of quantum error mitigation techniques becomes essential. These techniques are resource-efficient, making them viable for implementation in noisy intermediate-scale...
An Unsupervised Machine Learning to Optimize Hybrid Quantum Noise Clusters for Gaussian Quantum Channel
Mouli Chakraborty, Anshu Mukherjee, Ioannis Krikidis +2 more·Apr 13, 2024
This work focuses on optimizing the hybrid quantum noise model to improve the capacity of Gaussian quantum channels using Machine Learning (ML) generated clusters. The work specifically leverages Gaussian Mixture Model (GMM) and the Expectation-Maxim...
Performance analysis of a filtering variational quantum algorithm
Gabriel Marin-Sanchez, D. Amaro·Apr 13, 2024
Even a minor boost in solving combinatorial optimization problems can greatly benefit multiple industries. Quantum computers, with their unique information processing capabilities, hold promise for delivering such enhancements. The filtering variatio...
Adaptive User-Centric Entanglement Routing in Quantum Data Networks
Lei Wang, Jieming Bian, Jie Xu·Apr 13, 2024
Distributed quantum computing (DQC) holds immense promise in harnessing the potential of quantum computing by interconnecting multiple small quantum computers (QCs) through a quantum data network (QDN). Establishing long-distance quantum entanglement...
Optimal Universal Quantum Encoding for Statistical Inference
Farhad Farokhi·Apr 12, 2024
Optimal encoding of classical data for statistical inference using quantum computing is investigated. A universal encoder is sought that is optimal for a wide array of statistical inference tasks. Accuracy of any statistical inference is shown to be ...
Abelian Group Quantum Error Correction in Kitaev's Model
S. X. Cui, César Galindo, Diego Romero·Apr 12, 2024
In this paper, we present a detailed mathematical description of the error correction process for Kitaev's model for finite Abelian groups. The number of errors Kitaev's model can correct depends on the lattice and its topology. Although there is a t...
Modeling Stochastic Chemical Kinetics on Quantum Computers
Tilas Kabengele, Yash Lokare, J. B. Marston +1 more·Apr 12, 2024
The Chemical Master Equation (CME) provides a highly accurate, yet extremely resource-intensive representation of a stochastic chemical reaction network and its kinetics due to the exponential scaling of its possible states with the number of reactin...
Routing and Spectrum Allocation in Broadband Quantum Entanglement Distribution
Rohan Bali, Ashley Tittelbaugh, Shelbi L. Jenkins +5 more·Apr 12, 2024
We investigate resource allocation for quantum entanglement distribution over an optical network. We characterize and model a network architecture that employs a single broadband quasi-deterministic time-frequency heralded Einstein-Podolsky-Rosen (EP...
Navigating Quantum Security Risks in Networked Environments: A Comprehensive Study of Quantum-Safe Network Protocols
Yaser Baseri, Vikas Chouhan, A. Hafid·Apr 12, 2024
The emergence of quantum computing poses a formidable security challenge to network protocols traditionally safeguarded by classical cryptographic algorithms. This paper provides an exhaustive analysis of vulnerabilities introduced by quantum computi...
Grover’s algorithm in a four-qubit silicon processor above the fault-tolerant threshold
I. Thorvaldson, D. Poulos, C. Moehle +15 more·Apr 12, 2024
Spin qubits in silicon are strong contenders for the realization of a practical quantum computer, having demonstrated single- and two-qubit gates with fidelities above the fault-tolerant threshold, and entanglement of three qubits. However, maintaini...
Optimized Quantum Autoencoder
Yibin Huang, Muchun Yang, D. L. Zhou·Apr 12, 2024
Quantum autoencoder (QAE) compresses a bipartite quantum state into its subsystem using a self-checking mechanism. How to characterize and minimize the lost information in this process is essential for understanding the compression mechanism of QAE. ...
Quantum molecular docking with quantum-inspired algorithm
Yunting Li, Xiaopeng Cui, Zhaoping Xiong +5 more·Apr 12, 2024
Molecular docking (MD) is a crucial task in drug design, which predicts the position, orientation, and conformation of the ligand when bound to a target protein. It can be interpreted as a combinatorial optimization problem, where quantum annealing (...
Enhancing Initial State Overlap through Orbital Optimization for Faster Molecular Electronic Ground-State Energy Estimation.
Pauline J. Ollitrault, Cristian L. Cortes, Jérôme F. Gonthier +7 more·Apr 12, 2024
The phase estimation algorithm is crucial for computing the ground-state energy of a molecular electronic Hamiltonian on a quantum computer. Its efficiency depends on the overlap between the Hamiltonian's ground state and an initial state, which tend...
Evaluation framework for quantum security risk assessment: A comprehensive strategy for quantum-safe transition
Yaser Baseri, Vikas Chouhan, Ali Ghorbani +1 more·Apr 12, 2024
The rise of large-scale quantum computing poses a significant threat to traditional cryptographic security measures. Quantum attacks undermine current asymmetric cryptographic algorithms, rendering them ineffective. Even symmetric key cryptography is...