Papers
Live trends in quantum computing research, updated daily from arXiv.
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15,860 papers in 12 months (-35% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Differentiable Learning of Quantum Circuit Born Machine
Jin-Guo Liu, Lei Wang·Apr 11, 2018
Quantum circuit Born machines are generative models which represent the probability distribution of classical dataset as quantum pure states. Computational complexity considerations of the quantum sampling problem suggest that the quantum circuits ex...
Time evolution of an infinite projected entangled pair state: An algorithm from first principles
Piotr Czarnik, J. Dziarmaga·Apr 11, 2018
A typical quantum state obeying the area law for entanglement on an infinite 2D lattice can be represented by a tensor network ansatz -- known as an infinite projected entangled pair state (iPEPS) -- with a finite bond dimension $D$. Its real/imagina...
Quantum Algorithm Implementations for Beginners
Patrick J. Coles, S. Eidenbenz, S. Pakin +29 more·Apr 10, 2018
As quantum computers become available to the general public, the need has arisen to train a cohort of quantum programmers, many of whom have been developing classical computer programs for most of their careers. While currently available quantum comp...
Quantum Trajectory Distribution for Weak Measurement of a Superconducting Qubit: Experiment meets Theory
Parveen Kumar, S. Kundu, M. Chand +2 more·Apr 10, 2018
Quantum measurements are described as instantaneous projections in textbooks. They can be stretched out in time using weak measurements, whereby one can observe the evolution of a quantum state as it heads towards one of the eigenstates of the measur...
Coupling a Superconducting Quantum Circuit to a Phononic Crystal Defect Cavity
Patricio Arrangoiz-Arriola, E. Alex Wollack, M. Pechal +3 more·Apr 10, 2018
Connecting nanoscale mechanical resonators to microwave quantum circuits opens new avenues for storing, processing, and transmitting quantum information. In this work, we couple a phononic crystal cavity to a tunable superconducting quantum circuit. ...
Hierarchical quantum classifiers
Edward Grant, Marcello Benedetti, Shuxiang Cao +5 more·Apr 10, 2018
Quantum circuits with hierarchical structure have been used to perform binary classification of classical data encoded in a quantum state. We demonstrate that more expressive circuits in the same family achieve better accuracy and can be used to clas...
High-Speed Implementation of Length-Compatible Privacy Amplification in Continuous-Variable Quantum Key Distribution
Xiangyu Wang, Yichen Zhang, Song Yu +1 more·Apr 9, 2018
Privacy amplification is an indispensable step in postprocessing of continuous-variable quantum key distribution (CV-QKD), which is used to distill unconditional secure keys from identical corrected keys between two distant legal parties. The process...
Decrease of Fisher information and the information geometry of evolution equations for quantum mechanical probability amplitudes.
C. Cafaro, P. Alsing·Apr 9, 2018
The relevance of the concept of Fisher information is increasing in both statistical physics and quantum computing. From a statistical mechanical standpoint, the application of Fisher information in the kinetic theory of gases is characterized by its...
Neural network decoder for topological color codes with circuit level noise
P. Baireuther, M. D. Caio, B. Criger +2 more·Apr 9, 2018
A quantum computer needs the assistance of a classical algorithm to detect and identify errors that affect encoded quantum information. At this interface of classical and quantum computing the technique of machine learning has appeared as a way to ta...
Variational ansatz-based quantum simulation of imaginary time evolution
Sam McArdle, Tyson Jones, Suguru Endo +3 more·Apr 9, 2018
Imaginary time evolution is a powerful tool for studying quantum systems. While it is possible to simulate with a classical computer, the time and memory requirements generally scale exponentially with the system size. Conversely, quantum computers c...
Single Electron Transport and Possible Quantum Computing in 2D Materials
K. Chiu·Apr 9, 2018
Two-dimensional (2D) materials for their versatile band structures and strictly 2D nature have attracted considerable attention over the past decade. Graphene is a robust material for spintronics owing to its weak spin-orbit and hyperfine interaction...
Sublinear-Time Quantum Computation of the Diameter in CONGEST Networks
F. Gall, F. Magniez·Apr 9, 2018
The computation of the diameter is one of the most central problems in distributed computation. In the standard CONGEST model, in which two adjacent nodes can exchange O(log n) bits per round (here n denotes the number of nodes of the network), it is...
Josephson currents in chaotic quantum dots
C. Whisler, M. Vavilov, A. Levchenko·Apr 9, 2018
We study theoretically the Josephson current-phase relationship in a chaotic quantum dot coupled to superconductors by ballistic contacts. In this regime, strong proximity effect induces superconductivity in the quantum dot that leads to a significan...
Strawberry Fields: A Software Platform for Photonic Quantum Computing
N. Killoran, J. Izaac, N. Quesada +3 more·Apr 9, 2018
We introduce Strawberry Fields, an open-source quantum programming architecture for light-based quantum computers, and detail its key features. Built in Python, Strawberry Fields is a full-stack library for design, simulation, optimization, and quant...
Majorana bound state engineering via efficient real-space parameter optimization (Conference Presentation)
S. Boutin, J. C. Lemyre, I. Garate·Apr 9, 2018
Recent progress toward the fabrication of Majorana-based qubits has sparked the need for systematic approaches to optimize experimentally relevant parameters for the realization of robust Majorana bound states. Here, we introduce an efficient numeric...
Approximating Hamiltonian dynamics with the Nyström method
Alessandro Rudi, Leonard Wossnig, C. Ciliberto +3 more·Apr 6, 2018
Simulating the time-evolution of quantum mechanical systems is BQP-hard and expected to be one of the foremost applications of quantum computers. We consider classical algorithms for the approximation of Hamiltonian dynamics using subsampling methods...
Quantum Machine Learning Matrix Product States
J. Biamonte·Apr 6, 2018
Matrix product states minimize bipartite correlations to compress the classical data representing quantum states. Matrix product state algorithms and similar tools---called tensor network methods---form the backbone of modern numerical methods used t...
Quantum topological data analysis with continuous variables
G. Siopsis·Apr 5, 2018
I introduce a continuous-variable quantum topological data algorithm. The goal of the quantum algorithm is to calculate the Betti numbers in persistent homology which are the dimensions of the kernel of the combinatorial Laplacian. I accomplish this ...
The power of block-encoded matrix powers: improved regression techniques via faster Hamiltonian simulation
Shantanav Chakraborty, András Gilyén, S. Jeffery·Apr 5, 2018
We apply the framework of block-encodings, introduced by Low and Chuang (under the name standard-form), to the study of quantum machine learning algorithms and derive general results that are applicable to a variety of input models, including sparse ...
Development of composite control-variate stratified sampling approach for efficient stochastic calculation of molecular integrals
Michael G. Bayne, A. Chakraborty·Apr 4, 2018
In this work, the composite control-variate stratified sampling (CCSS) method is presented for calculation of MO integrals without transformation of AO integrals. The central idea of this approach is to obtain the 2-electron MO integrals by direct in...