Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Graph Coloring with Quantum Annealing
Julia Kwok, K. Pudenz·Dec 8, 2020
We develop a heuristic graph coloring approximation algorithm that uses the D-Wave 2X as an independent set sampler and evaluate its performance against a fully classical implementation. A randomly generated set of small but hard graph instances serv...
Variational quantum simulations of stochastic differential equations
K. Kubo, Yuya O. Nakagawa, Suguru Endo +1 more·Dec 8, 2020
Stochastic differential equations (SDE), which models uncertain phenomena as the time evolution of random variables, are exploited in various fields of natural and social sciences such as finance. Since SDEs rarely admit analytical solutions and must...
Measurements as a roadblock to near-term practical quantum advantage in chemistry: Resource analysis
J. Gonthier, M. Radin, C. Buda +3 more·Dec 7, 2020
Recent advances in quantum computing devices have brought attention to hybrid quantum-classical algorithms like the Variational Quantum Eigensolver (VQE) as a potential route to practical quantum advantage in chemistry. However, it is not yet clear w...
Variational preparation of finite-temperature states on a quantum computer
R. Sagastizabal, S. Premaratne, B. Klaver +13 more·Dec 7, 2020
The preparation of thermal equilibrium states is important for the simulation of condensed matter and cosmology systems using a quantum computer. We present a method to prepare such mixed states with unitary operators and demonstrate this technique e...
Ising-Based Louvain Method: Clustering Large Graphs with Specialized Hardware
P. R. Kalehbasti, Hayato Ushijima-Mwesigwa, Avradip Mandal +1 more·Dec 6, 2020
Recent advances in specialized hardware for solving optimization problems such quantum computers, quantum annealers, and CMOS annealers give rise to new ways for solving real-word complex problems. However, given current and near-term hardware limita...
CutQC: using small Quantum computers for large Quantum circuit evaluations
Wei Tang, T. Tomesh, Jeffrey Larson +2 more·Dec 3, 2020
Quantum computing (QC) is a new paradigm offering the potential of exponential speedups over classical computing for certain computational problems. Each additional qubit doubles the size of the computational state space available to a QC algorithm. ...
Performance of Particle Tracking Using a Quantum Graph Neural Network
Cenk Tuysuz, Kristiane Novotny, C. Rieger +7 more·Dec 2, 2020
The Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN) will be upgraded to further increase the instantaneous rate of particle collisions (luminosity) and become the High Luminosity LHC. This increase in luminosity, ...
Hybrid quantum investment optimization with minimal holding period
Samuel Mugel, Mario Abad, M. Bermejo +3 more·Dec 2, 2020
In this paper we propose a hybrid quantum-classical algorithm for dynamic portfolio optimization with minimal holding period. Our algorithm is based on sampling the near-optimal portfolios at each trading step using a quantum processor, and efficient...
A Hybrid System for Learning Classical Data in Quantum States
S. Stein, Ryan L'Abbate, W. Mu +6 more·Dec 1, 2020
Deep neural network powered artificial intelligence has rapidly changed our daily life with various applications. However, as one of the essential steps of deep neural networks, training a heavily-weighted network requires a tremendous amount of comp...
Generalized quantum assisted simulator
T. Haug, Kishor Bharti·Nov 30, 2020
We provide a noisy intermediate-scale quantum framework for simulating the dynamics of open quantum systems, generalized time evolution, non-linear differential equations and Gibbs state preparation. Our algorithm does not require any classical–quant...
Natural Evolutionary Strategies for Variational Quantum Computation
A. Anand, M. Degroote, Alán Aspuru-Guzik·Nov 30, 2020
Natural evolutionary strategies (NES) are a family of gradient-free black-box optimization algorithms. This study illustrates their use for the optimization of randomly-initialized parametrized quantum circuits (PQCs) in the region of vanishing gradi...
Solving nonlinear differential equations with differentiable quantum circuits
O. Kyriienko, Annie E. Paine, V. Elfving·Nov 20, 2020
We propose a quantum algorithm to solve systems of nonlinear differential equations. Using a quantum feature map encoding, we define functions as expectation values of parametrized quantum circuits. We use automatic differentiation to represent funct...
Contextual Subspace Variational Quantum Eigensolver
William M. Kirby, A. Tranter, P. Love·Nov 19, 2020
We describe the contextual subspace variational quantum eigensolver (CS-VQE), a hybrid quantum-classical algorithm for approximating the ground state energy of a Hamiltonian. The approximation to the ground state energy is obtained as the sum of two ...
Tabu-Driven Quantum Neighborhood Samplers
Charles Moussa, Hao Wang, H. Calandra +2 more·Nov 18, 2020
Combinatorial optimization is an important application targeted by quantum computing. However, near-term hardware constraints make quantum algorithms unlikely to be competitive when compared to high-performing classical heuristics on large practical ...
Quantum walk-based portfolio optimisation
N. Slate, Edric Matwiejew, S. Marsh +1 more·Nov 16, 2020
This paper proposes a highly efficient quantum algorithm for portfolio optimisation targeted at near-term noisy intermediate-scale quantum computers. Recent work by Hodson et al. (2019) explored potential application of hybrid quantum-classical algor...
Quantum Assisted Simulator
Kishor Bharti, T. Haug·Nov 12, 2020
Quantum simulation offers a possibility to explore the exponentially large configuration space of quantum mechanical systems and thus help us study poorly understood topics such as high-temperature superconductivity and drug design. Here, we provide ...
Hybrid Berezinskii-Kosterlitz-Thouless and Ising topological phase transition in the generalized two-dimensional XY model using tensor networks
F. Song, Guang-Ming Zhang·Nov 11, 2020
In tensor network representation, the partition function of a generalized two-dimensional XY spin model with topological integer and half-integer vortex excitations is mapped to a tensor product of one-dimensional quantum transfer operator, whose eig...
Highly photon-loss-tolerant quantum computing using hybrid qubits
S. Omkar, Y. S. Teo, Seung-Woo Lee +1 more·Nov 9, 2020
We investigate a scheme for topological quantum computing using optical hybrid qubits and make an extensive comparison with previous all-optical schemes. We show that the photon loss threshold reported by Omkar {\it et al}. [Phys. Rev. Lett. 125, 060...
Dimensional Expressivity Analysis of Parametric Quantum Circuits
L. Funcke, T. Hartung, K. Jansen +2 more·Nov 6, 2020
Parametric quantum circuits play a crucial role in the performance of many variational quantum algorithms. To successfully implement such algorithms, one must design efficient quantum circuits that sufficiently approximate the solution space while ma...
Realization of a quantum Fredkin gate with hybrid degrees of freedom in a single photon
Feiran Wang, Shihao Ru, Yunlong Wang +3 more·Nov 4, 2020
Optimizing the physical realization of quantum gates is important to build a quantum computer. Fredkin gate, also named controlled-swap gate, can be widely applicable in various quantum information processing schemes. In the present research, we prop...