Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum state discrimination using noisy quantum neural networks
A. Patterson, Hongxiang Chen, Leonard Wossnig +3 more·Nov 1, 2019
Near-term quantum computers are noisy, and therefore must run algorithms with a low circuit depth and qubit count. Here we investigate how noise affects a quantum neural network (QNN) for state discrimination, applicable on near-term quantum devices ...
Quantum simulation by qubitization without Toffoli gates
M. Steudtner, S. Wehner·Nov 1, 2019
Qubitization is a modern approach to estimate Hamiltonian eigenvalues without simulating its time evolution. While in this way approximation errors are avoided, its resource and gate requirements are more extensive: qubitization requires additional q...
One-dimensional Hadamard Quantum Walk on a Cycle with Rotational Implementation
K. Georgopoulos, P. Zuliani·Nov 1, 2019
Quantum walks have been extensively studied recently, mainly due to their vast difference in behavior to classical random walks. This paper is concerned with discrete time and space quantum walks of particles that propagate through a one-dimensional ...
Solving Multi-Coloring Combinatorial Optimization Problems Using Hybrid Quantum Algorithms
Young-Hyun Oh, Hamed Mohammadbagherpoor, P. Dreher +3 more·Nov 1, 2019
The design of a good algorithm to solve NP-hard combinatorial approximation problems requires specific domain knowledge about the problems and often needs a trial-and-error problem solving approach. Graph coloring is one of the essential fields to pr...
Efficient Information Reconciliation for Energy-Time Entanglement Quantum Key Distribution
Siyi Yang, M. Sarihan, Kai-Chi Chang +2 more·Nov 1, 2019
Graph based codes such as low density parity check (LDPC) codes have been shown promising for the information reconciliation phase in quantum key distribution (QKD). However, existing graph coding schemes have not fully utilized the properties of the...
Mapping NP-Hard Problems to Restricted Adiabatic Quantum Architectures
Gary J. Mooney, Sam U.Y. Tonetto, C. Hill +1 more·Nov 1, 2019
We introduce a framework for mapping NP-Hard problems to adiabatic quantum computing (AQC) architectures that are heavily restricted in both connectivity and dynamic range of couplings, for which minor-embedding -- the standard problem mapping method...
Quantum Circuit Parameters Learning with Gradient Descent Using Backpropagation
Masaya Watabe, Kodai Shiba, Masaru Sogabe +2 more·Oct 31, 2019
Quantum computing has the potential to outperform classical computers and is expected to play an active role in various fields. In quantum machine learning, a quantum computer has been found useful for enhanced feature representation and high dimensi...
Simulating lattice gauge theories within quantum technologies
M. Bañuls, R. Blatt, J. Catani +17 more·Oct 31, 2019
Lattice gauge theories, which originated from particle physics in the context of Quantum Chromodynamics (QCD), provide an important intellectual stimulus to further develop quantum information technologies. While one long-term goal is the reliable qu...
Quantum Wasserstein Generative Adversarial Networks
Shouvanik Chakrabarti, Yiming Huang, Tongyang Li +2 more·Oct 31, 2019
The study of quantum generative models is well-motivated, not only because of its importance in quantum machine learning and quantum chemistry but also because of the perspective of its implementation on near-term quantum machines. Inspired by previo...
Reducing qubit requirements for quantum simulation using molecular point group symmetries.
Kanav Setia, Richard Chen, J. Rice +3 more·Oct 31, 2019
Simulating molecules is believed to be one of the early-stage applications for quantum computers. Current state-of-the-art quantum computers are limited in size and coherence, therefore optimizing resources to execute quantum algorithms is crucial. I...
Optimization of CNOT circuits on limited-connectivity architecture
Bujiao Wu, Xiaoyu He, Shuai Yang +4 more·Oct 31, 2019
A CNOT circuit is the key gadget for entangling qubits in quantum computing systems. However, the qubit connectivity of noisy intermediate-scale quantum (NISQ) devices is constrained by their limited connectivity architecture. To improve the performa...
Of course) algorithms beat gamers at solving quantum control problems
K. Mølmer, J. Sherson·Oct 31, 2019
Dries Sels and Allan Gr{\o}nlund have demonstrated numerical algorithms that outperform the players of our Quantum Moves game and they call the conclusions of our article Exploring the Quantum Speed Limit with Computer Games, Nature, 532, 210 (2016)]...
Quantum generative model for sampling many-body spectral functions
Dries Sels, E. Demler·Oct 31, 2019
Quantum phase estimation is at the heart of most quantum algorithms with exponential speedup. In this paper we demonstrate how to utilize it to compute the dynamical response functions of many-body quantum systems. Specifically, we design a circuit t...
Quantum approximate Bayesian computation for NMR model inference
Dries Sels, Hesam Dashti, S. Mora +2 more·Oct 31, 2019
Recent technological advances may lead to the development of small-scale quantum computers that are capable of solving problems that cannot be tackled with classical computers. A limited number of algorithms have been proposed and their relevance to ...
Entanglement statistics in Markovian open quantum systems: A matter of mutation and selection.
F. Carollo, C. Pérez-Espigares·Oct 30, 2019
Controlling dynamical fluctuations in open quantum systems is essential both for our comprehension of quantum nonequilibrium behavior and for its possible application in near-term quantum technologies. However, understanding these fluctuations is ext...
Distributed quantum sensing enhanced by continuous-variable error correction
Quntao Zhuang, J. Preskill, Liang Jiang·Oct 30, 2019
A distributed sensing protocol uses a network of local sensing nodes to estimate a global feature of the network, such as a weighted average of locally detectable parameters. In the noiseless case, continuous-variable (CV) multipartite entanglement s...
Collective optimization for variational quantum eigensolvers
Dan-Bo Zhang, Tao Yin·Oct 30, 2019
Variational quantum eigensolver (VQE) optimizes parameterized eigenstates of a Hamiltonian on a quantum processor by updating parameters with a classical computer. Such a hybrid quantum-classical optimization serves as a practical way to leverage up ...
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems
Akshay Ajagekar, T. Humble, F. You·Oct 29, 2019
Abstract Quantum computing (QC) has gained popularity due to its unique capabilities that are quite different from that of classical computers in terms of speed and methods of operations. This paper proposes hybrid models and methods that effectively...
Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms
T. Sahai, A. Mishra, Jose Miguel Pasini +1 more·Oct 29, 2019
Given a Boolean formula ϕ(x) in conjunctive normal form (CNF), the density of states counts the number of variable assignments that violate exactly e clauses, for all values of e. Thus, the density of states is a histogram of the number of unsatisfie...
Machine-learning-assisted metasurface design for high-efficiency thermal emitter optimization
Z. Kudyshev, A. Kildishev, V. Shalaev +1 more·Oct 28, 2019
With the emergence of new photonic and plasmonic materials with optimized properties as well as advanced nanofabrication techniques, nanophotonic devices are now capable of providing solutions to global challenges in energy conversion, information te...