Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
28,891
This Month
551
Today
0
Research Volume
13,850 papers in 12 months (-10% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Variational Quantum Singular Value Decomposition
Xin Wang, Zhixin Song, Youle Wang·Jun 3, 2020
Singular value decomposition is central to many problems in engineering and scientific fields. Several quantum algorithms have been proposed to determine the singular values and their associated singular vectors of a given matrix. Although these algo...
Quantum simulation of nuclear inelastic scattering
W. Du, J. Vary, Xingbo Zhao +1 more·Jun 1, 2020
We present the hybrid quantum/classical algorithm for nuclear inelastic scattering in the time-dependent basis function on qubits approach. It is a non-perturbative approach for simulating these processes on quantum computers. Working in the interact...
Quantum Logspace Algorithm for Powering Matrices with Bounded Norm
Uma Girish, R. Raz, Wei Zhan·Jun 1, 2020
We give a quantum logspace algorithm for powering contraction matrices, that is, matrices with spectral norm at most~1. The algorithm gets as an input an arbitrary $n\times n$ contraction matrix $A$, and a parameter $T \leq \mathrm{poly}(n)$ and outp...
Simple and efficient algorithms for training machine learning potentials to force data.
Justin S. Smith, N. Lubbers, A. Thompson +1 more·Jun 1, 2020
Abstract Machine learning models, trained on data from ab initio quantum simulations, are yielding molecular dynamics potentials with unprecedented accuracy. One limiting factor is the quantity of available training data, which can be expensive to ob...
Continuous-Variable Assisted Thermal Quantum Simulation.
Dan-Bo Zhang, Guo-Qing Zhang, Z. Xue +2 more·May 31, 2020
Simulation of a quantum many-body system at finite temperatures is crucially important but quite challenging. Here we present an experimentally feasible quantum algorithm assisted with continuous variable for simulating quantum systems at finite temp...
Grover Mixers for QAOA: Shifting Complexity from Mixer Design to State Preparation
Andreas Bärtschi, S. Eidenbenz·May 30, 2020
We propose GM-QAOA, a variation of the Quantum Alternating Operator Ansatz (QAOA) that uses Grover-like selective phase shift mixing operators. GM-QAOA works on any NP optimization problem for which it is possible to efficiently prepare an equal supe...
Efficient Discrete Feature Encoding for Variational Quantum Classifier
Hiroshi Yano, Yudai Suzuki, K. Itoh +2 more·May 29, 2020
Recent days have witnessed significant interests in applying quantum-enhanced techniques for solving a variety of machine learning tasks. Variational methods that use quantum resources of imperfect quantum devices with the help of classical computing...
Quantum self-learning Monte Carlo and quantum-inspired Fourier transform sampler
Katsuhiro Endo, Taichi Nakamura, K. Fujii +1 more·May 28, 2020
The self-learning Metropolis-Hastings algorithm is a powerful Monte Carlo method that, with the help of machine learning, adaptively generates an easy-to-sample probability distribution for approximating a given hard-to-sample distribution. This pape...
Architecture and noise analysis of continuous-variable quantum gates using two-dimensional cluster states
M. V. Larsen, Jonas S Neergaard-Nielsen, U. Andersen·May 27, 2020
Due to its unique scalability potential, continuous variable quantum optics is a promising platform for large scale quantum computing and quantum simulation. In particular, very large cluster states with a two-dimensional topology that are suitable f...
Quantum Divide and Compute: Hardware Demonstrations and Noisy Simulations
T. Ayral, François-Marie Le Régent, Zain Saleem +2 more·May 26, 2020
Noisy, intermediate-scale quantum computers comewith intrinsic limitations in terms of the number of qubits (circuit "width") and decoherence time (circuit "depth") they can have. Here, for the first time, we demonstrate a recently introduced method ...
On connectivity-dependent resource requirements for digital quantum simulation of d-level particles
Nicolas P. D. Sawaya, G. Guerreschi, Adam Holmes·May 26, 2020
A primary objective of quantum computation is to efficiently simulate quantum physics. Scientifically and technologically important quantum Hamiltonians include those with spin-s, vibrational, photonic, and other bosonic degrees of freedom, i.e. prob...
Quantum Algorithm for Approximating Maximum Independent Sets
Hongye 泓烨 Yu 余, F. Wilczek, Biao 飙 Wu 吴·May 26, 2020
We present a quantum algorithm for approximating maximum independent sets of a graph based on quantum non-Abelian adiabatic mixing in the sub-Hilbert space of degenerate ground states, which generates quantum annealing in a secondary Hamiltonian. For...
Variability and Fidelity Limits of Silicon Quantum Gates Due to Random Interface Charge Traps
Tong Wu, Jing Guo·May 25, 2020
Silicon offers an attractive material platform for hardware realization of quantum computing. In this study, a microscopic stochastic simulation method is developed to model the effect of random interface charge traps in silicon metal-oxide-semicondu...
Quadratic Sieve Factorization Quantum Algorithm and its Simulation
A. Bhatia, Ajay Kumar·May 24, 2020
Quantum computing is a winsome field that concerns with the behaviour and nature of energy at the quantum level to improve the efficiency of computations. In recent years, quantum computation is receiving much attention for its capability to solve di...
The prospects of quantum computing in computational molecular biology
C. Outeiral, M. Strahm, Jiye Shi +3 more·May 22, 2020
Quantum computers can in principle solve certain problems exponentially more quickly than their classical counterparts. We have not yet reached the advent of useful quantum computation, but when we do, it will affect nearly all scientific disciplines...
Measuring Analytic Gradients of General Quantum Evolution with the Stochastic Parameter Shift Rule
L. Banchi, G. Crooks·May 20, 2020
Hybrid quantum-classical optimization algorithms represent one of the most promising application for near-term quantum computers. In these algorithms the goal is to optimize an observable quantity with respect to some classical parameters, using feed...
Toward scalable simulations of lattice gauge theories on quantum computers
Simon V. Mathis, G. Mazzola, I. Tavernelli·May 20, 2020
The simulation of real-time dynamics in lattice gauge theories is particularly hard for classical computing due to the exponential scaling of the required resources. On the other hand, quantum algorithms can potentially perform the same calculation w...
Variational quantum Gibbs state preparation with a truncated Taylor series
Youle Wang, Guangxi Li, Xin Wang·May 18, 2020
The preparation of quantum Gibbs state is an essential part of quantum computation and has wide-ranging applications in various areas, including quantum simulation, quantum optimization, and quantum machine learning. In this paper, we propose variati...
Quantum Probabilistic Spaces on Graphs for Topological Evolutions
R. Balu·May 16, 2020
We start with the consideration of fusion rules of anyonic particles evolving on a 2D surface and the a hypergroup comes with it to construct entangled quantum Markov chains. The fusion rules induce an association scheme with Krein parameters and the...
Teaching quantum information science to high-school and early undergraduate students
S. Economou, T. Rudolph, Edwin Barnes·May 16, 2020
We present a simple, accessible, yet rigorous outreach/educational program focused on quantum information science and technology for high-school and early undergraduate students. This program allows students to perform meaningful hands-on calculation...