Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Dynamical Anyon Generation in Kitaev Honeycomb Non-Abelian Spin Liquids.
Yue Liu, K. Slagle, K. Burch +1 more·Nov 17, 2021
Relativistic Mott insulators known as "Kitaev materials" potentially realize spin liquids hosting non-Abelian anyons. Motivated by fault-tolerant quantum-computing applications in this setting, we introduce a dynamical anyon-generation protocol that ...
Variational Adiabatic Gauge Transformation on Real Quantum Hardware for Effective Low-Energy Hamiltonians and Accurate Diagonalization
Laura Gentini, A. Cuccoli, L. Banchi·Nov 16, 2021
Effective low-energy theories represent powerful theoretical tools to reduce the complexity in modeling interacting quantum many-particle systems. However, common theoretical methods rely on perturbation theory, which limits their applicability to we...
Localization of a mobile impurity interacting with an Anderson insulator
Pietro Brighi, A. Michailidis, Kristina Kirova +2 more·Nov 16, 2021
Thermalizing and localized many-body quantum systems present two distinct dynamical phases of matter. Recently, the fate of a localized system coupled to a thermalizing system viewed as a quantum bath received significant theoretical and experimental...
Stochastic gradient line Bayesian optimization for efficient noise-robust optimization of parameterized quantum circuits
Shiro Tamiya, H. Yamasaki·Nov 15, 2021
Optimizing parameterized quantum circuits is a key routine in using near-term quantum devices. However, the existing algorithms for such optimization require an excessive number of quantum-measurement shots for estimating expectation values of observ...
Fidelity-Guaranteed Entanglement Routing in Quantum Networks
Jian Li, Ming-jian Wang, Kaiping Xue +4 more·Nov 15, 2021
Entanglement routing establishes remote entanglement connection between two arbitrary nodes, which is one of the most important functions in quantum networks. The existing routing mechanisms mainly improve the robustness and throughput facing the fai...
Simulation of Quantum Many-Body Dynamics with Tensor Processing Units: Floquet Prethermalization
A. Morningstar, M. Hauru, J. Beall +4 more·Nov 15, 2021
Tensor Processing Units (TPUs) are specialized hardware accelerators developed by Google to support large-scale machine-learning tasks, but they can also be leveraged to accelerate and scale other linear-algebra-intensive computations. In this paper ...
A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits
Daniel Oliveira, Edoardo Giusto, Betis Baheri +3 more·Nov 13, 2021
Quantum computing is one of the most promising technology advances of the latest years. Qubits are highly sensitive to noise, which can make the output useless. Lately, it has been shown that superconducting qubits are extremely susceptible to extern...
Classical analog of qubit logic based on a magnon Bose–Einstein condensate
M. Mohseni, V. Vasyuchka, V. L’vov +2 more·Nov 12, 2021
Advances in quantum computing and telecommunications stimulate the search for classical systems allowing partial implementation of a similar functionality under less stringent environmental conditions. Here, we present a classical version of several ...
Simulating time evolution with fully optimized single-qubit gates on parametrized quantum circuits
Kaito Wada, Rudy Raymond, Yu-ya Ohnishi +4 more·Nov 10, 2021
We propose a novel method to sequentially optimize arbitrary single-qubit gates in parameterized quantum circuits for simulating real and imaginary time evolution. The method utilizes full degrees of freedom of single-qubit gates and therefore can po...
Generalization in quantum machine learning from few training data
Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo +4 more·Nov 9, 2021
Modern quantum machine learning (QML) methods involve variationally optimizing a parameterized quantum circuit on a training data set, and subsequently making predictions on a testing data set (i.e., generalizing). In this work, we provide a comprehe...
Average-Case Speedup for Product Formulas
Chi-Fang Chen, F. Brandão·Nov 9, 2021
Quantum simulation is a promising application of future quantum computers. Product formulas, or Trotterization, are the oldest and still remain an appealing method to simulate quantum systems. For an accurate product formula approximation, the state-...
Scalable qubit representations of neutrino mixing matrices
M. J. Molewski, B. Jones·Nov 9, 2021
Oscillating neutrino beams exhibit quantum coherence over distances of thousands of kilometers. Their unambiguously quantum nature suggests an appealing test system for direct quantum simulation. Such techniques may enable presently analytically intr...
Hamiltonian Simulation with Random Inputs.
Qi Zhao, You Zhou, Alexander F. Shaw +2 more·Nov 8, 2021
The algorithmic error of digital quantum simulations is usually explored in terms of the spectral norm distance between the actual and ideal evolution operators. In practice, this worst-case error analysis may be unnecessarily pessimistic. To address...
Error Analysis of the Variational Quantum Eigensolver Algorithm
Sebastian Brandhofer, S. Devitt, I. Polian·Nov 8, 2021
Variational quantum algorithms have been one of the most intensively studied applications for near-term quantum computing applications. The noisy intermediate-scale quantum (NISQ) regime, where small enough algorithms can be run successfully on noisy...
Non-adiabatic Quantum Wavepacket Dynamics Simulation Based on Electronic Structure Calculations using the Variational Quantum Eigensolver
H. Hirai, Sho Koh·Nov 8, 2021
A non-adiabatic nuclear wavepacket dynamics simulation of the H$_2$O$^+$ de-excitation process is performed based on electronic structure calculations using the variational quantum eigensolver. The adiabatic potential energy surfaces and non-adiabati...
Large-N Chern insulators: Lattice field theory and quantum simulation approaches to correlation effects in the quantum anomalous Hall effect
L. Ziegler, E. Tirrito, M. Lewenstein +2 more·Nov 8, 2021
Four-Fermi quantum field theories in (2+1) dimensions lie among the simplest models in high-energy physics, the understanding of which requires a non-perturbative lattice formulation addressing their strongly-coupled fixed points. These lattice model...
Estimating Phosphorescent Emission Energies in IrIII Complexes Using Large-Scale Quantum Computing Simulations.
Scott N. Genin, I. G. Ryabinkin, Nathan R. Paisley +3 more·Nov 7, 2021
Here we calculate T1 →S0 transition energies in nine phosphorescent iridium complexes using the iterative qubit coupled cluster (iQCC) method to determine if quantum simulations have any advantages over classical methods. These simulations would requ...
Parallel Simulation of Quantum Networks with Distributed Quantum State Management
Xiaoliang Wu, Alexander Kolar, Joaquín Chung +3 more·Nov 6, 2021
Quantum network simulators offer the opportunity to cost-efficiently investigate potential avenues for building networks that scale with the number of users, communication distance, and application demands by simulating alternative hardware designs a...
The Impact of Logical Errors on Quantum Algorithms
Omer Subasi, S. Krishnamoorthy·Nov 5, 2021
In this work, we explore the impact of logical stochastic Pauli and coherent Z-rotation errors on quantum algorithms. We evaluate six canonical quantum algorithms' intrinsic resilience to the logical qubit and gate errors by performing the Monte Carl...
Quantum algorithms for unsupervised machine learning and neural networks
Jonas Landman·Nov 5, 2021
Cette thèse vise à étudier si les algorithmes quantiques peuvent être utilisés dans le domaine de l'apprentissage automatique, ou intelligence artificielle. Nous rappelons d'abord les principes fondamentaux de l'apprentissage automatique et de l'in...