Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Even More Efficient Quantum Computations of Chemistry Through Tensor Hypercontraction
Joonho Lee, D. Berry, C. Gidney +4 more·Nov 6, 2020
We describe quantum circuits with only $\widetilde{\cal O}(N)$ Toffoli complexity that block encode the spectra of quantum chemistry Hamiltonians in a basis of $N$ arbitrary (e.g., molecular) orbitals. With ${\cal O}(\lambda / \epsilon)$ repetitions ...
Quantum simulation and computing with Rydberg-interacting qubits
M. Morgado, Shannon Whitlock·Nov 5, 2020
Arrays of optically trapped atoms excited to Rydberg states have recently emerged as a competitive physical platform for quantum simulation and computing, where high-fidelity state preparation and readout, quantum logic gates and controlled quantum d...
Verifying Random Quantum Circuits with Arbitrary Geometry Using Tensor Network States Algorithm.
Chu Guo, You-Wei Zhao, Heliang Huang·Nov 5, 2020
The ability to efficiently simulate random quantum circuits using a classical computer is increasingly important for developing noisy intermediate-scale quantum devices. Here, we present a tensor network states based algorithm specifically designed t...
Efficient classical calculation of the Quantum Natural Gradient
Tyson Jones·Nov 5, 2020
Quantum natural gradient has emerged as a superior minimisation technique in quantum variational algorithms. Classically simulating the algorithm running on near-future quantum hardware is paramount in its study, as it is for all variational algorith...
Selected topics of quantum computing for nuclear physics*
Dan-Bo Zhang, H. Xing, Hui Yan +2 more·Nov 3, 2020
Nuclear physics, whose underling theory is described by quantum gauge field coupled with matter, is fundamentally important and yet is formidably challenge for simulation with classical computers. Quantum computing provides a perhaps transformative a...
Quantum simulation of light-front parton correlators
M. G. Echevarria, Í. Egusquiza, E. Rico +1 more·Nov 2, 2020
The physics of high-energy colliders relies on the knowledge of different non-perturbative parton correlators, such as parton distribution functions, that encode the information on universal hadron structure and are thus the main building blocks of a...
Ultranarrow spectral line of the radiation in double qubit-cavity ultrastrong coupling system.
Teng Zhao, Shao-Ping Wu, Guo-qing Yang +2 more·Oct 30, 2020
The ultrastrongly coupling (USC) system has very important research significance in quantum simulation and quantum computing. In this paper, the ultranarrow spectrum of a circuit QED system with two qubits ultrastrongly coupled to a single-mode cavit...
Optimizing entanglement generation and distribution using genetic algorithms
Francisco Ferreira da Silva, A. Torres-Knoop, T. Coopmans +2 more·Oct 30, 2020
Long-distance quantum communication via entanglement distribution is of great importance for the quantum internet. However, scaling up to such long distances has proved challenging due to the loss of photons, which grows exponentially with the distan...
TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture
Xin-Chuan Wu, D. Debroy, Yongshan Ding +4 more·Oct 29, 2020
Trapped-ion qubits are a leading technology for practical quantum computing. In this work, we present an architectural analysis of a linear-tape architecture for trapped ions. In order to realize our study, we develop and evaluate mapping and schedul...
Simulation of quantum computing on classical supercomputers with tensor-network edge cutting
Yaqian Zhao, Rengang Li, Jinzhe Jiang +6 more·Oct 28, 2020
Simulation of quantum computing on supercomputers is a significant research topic, which plays a vital role in quantum algorithm verification, error-tolerant verification and other applications. Tensor network contraction based on density matrix is a...
Penalty methods for a variational quantum eigensolver
Kohdai Kuroiwa, Yuya O. Nakagawa·Oct 26, 2020
The variational quantum eigensolver (VQE) is a promising algorithm to compute eigenstates and eigenenergies of a given quantum system that can be performed on a near-term quantum computer. Obtaining eigenstates and eigenenergies in a specific symmetr...
Quantum semi-supervised generative adversarial network for enhanced data classification
Kouhei Nakaji, N. Yamamoto·Oct 26, 2020
In this paper, we propose the quantum semi-supervised generative adversarial network (qSGAN). The system is composed of a quantum generator and a classical discriminator/classifier (D/C). The goal is to train both the generator and the D/C, so that t...
Benchmarking the variational quantum eigensolver through simulation of the ground state energy of prebiotic molecules on high-performance computers
P. Lolur, M. Rahm, M. Skogh +2 more·Oct 26, 2020
We use the Variational Quantum Eigensolver (VQE) as implemented in the Qiskit software package to compute the ground state energy of small molecules derived from water, H$_2$O, and hydrogen cyanide, HCN. The work aims to benchmark algorithms for calc...
The Effect of the Pauli Spin Matrices on the Quantum Lattice Algorithm for Maxwell Equations in Inhomogeneous Media
G. Vahala, L. Vahala, M. Soe +1 more·Oct 23, 2020
A quantum lattice algorithm (QLA) is developed for the solution of Maxwell equations in scalar dielectric media using the Riemann-Silberstein representation. For x-dependent and y-dependent inhomogeneities, the corresponding QLA requries 8 qubits/spa...
Implementing Bilinear Interpolation on Quantum Images
Fei Yan, Shan Zhao, S. Venegas-Andraca·Oct 20, 2020
In this paper, we present an interpolation scheme for FRQI images based on bilinear interpolation. To accomplish this, we formulated several quantum modules, i.e., assignment module, increment module, and quarter module, and suffused them into our pr...
Fast simulation of quantum algorithms using circuit optimization
G. Guerreschi·Oct 19, 2020
Classical simulators play a major role in the development and benchmark of quantum algorithms and practically any software framework for quantum computation provides the option of running the algorithms on simulators. However, the development of quan...
Bayesian Quantum Multiphase Estimation Algorithm
Valentin Gebhart, A. Smerzi, L. Pezzè·Oct 18, 2020
Quantum phase estimation (QPE) is the key subroutine of several quantum computing algorithms as well as a central ingredient in quantum computational chemistry and quantum simulation. While QPE strategies have focused on the estimation of a single ph...
Adaptive Circuit Learning for Quantum Metrology
Ziqi Ma, P. Gokhale, Tian-Xing Zheng +5 more·Oct 17, 2020
Quantum sensing is an important application of emerging quantum technologies. We explore whether a hybrid system of quantum sensors and quantum circuits can surpass the classical limit of sensing. In particular, we use optimization techniques to sear...
Accelerated impurity solver for DMFT and its diagrammatic extensions
C. Melnick, P. S'emon, Kwangmin Yu +3 more·Oct 16, 2020
We present ComCTQMC, a GPU accelerated quantum impurity solver. It uses the continuous-time quantum Monte Carlo (CTQMC) algorithm wherein the partition function is expanded in terms of the hybridisation function (CT-HYB). ComCTQMC supports both parti...
QDLC - The Quantum Development Life Cycle
Nivedita Dey, Mrityunjay Ghosh, S. Kundu +1 more·Oct 15, 2020
The magnificence grandeur of quantum computing lies in the inherent nature of quantum particles to exhibit true parallelism, which can be realized by indubitably fascinating theories of quantum physics. The possibilities opened by quantum computation...