Papers

Razieh Annabestani, Brajesh Gupt, Bhaskar Roy Bardhan·Sep 20, 2020

We study Bosonic representation of spin Ising model with the application of simulating two level systems using continuous variable quantum processors. We decompose the time evolution of spin systems into a sequence of continuous variable logical gate...

I. D. Lazarev, Marek Narozniak, T. Byrnes +1 more·Sep 19, 2020

Unsupervised machine learning is one of the main techniques employed in artificial intelligence. Quantum computers offer opportunities to speed up such machine learning techniques. Here, we introduce an algorithm for quantum assisted unsupervised dat...

N. Chancellor·Sep 14, 2020

Quantum annealing has great promise in leveraging quantum mechanics to solve combinatorial optimisation problems. However, to realize this promise to it's fullest extent we must appropriately leverage the underlying physics. In this spirit, I examine...

Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang·Sep 3, 2020

Long short-term memory (LSTM) is a kind of recurrent neural networks (RNN) for sequence and temporal dependency data modeling and its effectiveness has been extensively established. In this work, we propose a hybrid quantum-classical model of LSTM, w...

Wenjie Liu, Ying Zhang, Zhiliang Deng +2 more·Sep 3, 2020

As an emerging field that aims to bridge the gap between human activities and computing systems, human-centered computing (HCC) in cloud, edge, fog has had a huge impact on the artificial intelligence algorithms. The quantum generative adversarial ne...

Prasanna Date, Wyatt Smith·Sep 2, 2020

Quantum computers have the unique ability to operate relatively quickly in high-dimensional spaces—this is sought to give them a competitive advantage over classical computers. In this work, we propose a novel quantum machine learning model called th...

P. Jouzdani, Stefan Bringuier·Aug 26, 2020

The use of near-term quantum devices that lack quantum error correction, for addressing quantum chemistry and physics problems, requires hybrid quantum-classical algorithms and techniques. Here, we present a process for obtaining the eigenenergy spec...

Emil Génetay Johansen, T. Simula·Aug 25, 2020

We have studied ${\rm SU}(2)_k$ anyon models, assessing their prospects for topological quantum computation. In particular, we have compared the Ising ($k=2$) anyon and Fibonacci ($k=3$) anyon models, motivated by their potential for future realizati...

N. Yoshioka, Takeshi Sato, Yuya O. Nakagawa +2 more·Aug 21, 2020

We present a quantum-classical hybrid algorithm that simulates electronic structures of periodic systems such as ground states and quasiparticle band structures. By extending the unitary coupled cluster (UCC) theory to describe crystals in arbitrary ...

V. Vorobyov, S. Zaiser, Nikolas Abt +4 more·Aug 21, 2020

The quantum Fourier transformation (QFT) is a key building block for a whole wealth of quantum algorithms. Despite its proven efficiency, only a few proof-of-principle demonstrations have been reported. Here we utilize QFT to enhance the performance ...

Z. Yuan, Tao Yin, Dan-Bo Zhang·Aug 20, 2020

The variational quantum eigensolver (VQE) typically optimizes variational parameters in a quantum circuit to prepare eigenstates for a quantum system. Its application to many problems may involve a group of Hamiltonians, e.g., a Hamiltonian of a mole...

Lauren Pusey-Nazzaro, Prasanna Date·Aug 17, 2020

In this work, we attempt to solve the integer-weight knapsack problem using the D-Wave 2000Q adiabatic quantum computer. The knapsack problem is a well-known NP-complete problem in computer science, with applications in economics, business, finance, ...

Owen Lockwood, Mei Si·Aug 15, 2020

The development of quantum computational techniques has advanced greatly in recent years, parallel to the advancements in techniques for deep reinforcement learning. This work explores the potential for quantum computing to facilitate reinforcement l...

K. Seki, S. Yunoki·Aug 9, 2020

We propose a quantum-classical hybrid algorithm of the power method, here dubbed as quantum power method, to evaluate $\hat{\mathcal{H}}^{n}|\psi\rangle$ with quantum computers, where $n$ is a nonnegative integer, $\hat{\mathcal{H}}$ is a time-indepe...

M. Mahdian, H. Yeganeh·Aug 7, 2020

Hybrid quantum-classical (HQC) algorithms make it possible to use near-term quantum devices supported by classical computational resources by useful control schemes. In this paper, we develop an HQC algorithm using an efficient variational optimizati...

P. Magnard, S. Storz, P. Kurpiers +11 more·Aug 4, 2020

Superconducting circuits are a strong contender for realizing quantum computing systems and are also successfully used to study quantum optics and hybrid quantum systems. However, their cryogenic operation temperatures and the current lack of coheren...

Hemant Rana, Nitin Verma·Jul 28, 2020

Since the introduction of quantum computation by Richard Feynman in 1982, Quantum computation has shown exemplary results in various applications of computer science including unstructured database search, factorization, molecular simulations to name...

N. Nefedkin, A. Alú, A. Krasnok·Jul 27, 2020

Optical supercavity modes (superstates), i.e., hybrid modes emerging from the strong coupling of two modes of an open cavity, can support ultranarrow lines in their scattering spectra associated with quasi bound states in the continuum (quasi‐BIC). T...

T. Cubaynes, L. Contamin, M. Dartiailh +4 more·Jul 22, 2020

A complex quantum dot circuit based on a clean and suspended carbon nanotube embedded in a circuit quantum electrodynamic (cQED) architecture is a very attractive platform to investigate a large spectrum of physics phenomena ranging from qubit physic...

K. Fujii, Kaoru Mizuta, H. Ueda +3 more·Jul 21, 2020

We propose a divide-and-conquer method for the quantum-classical hybrid algorithm to solve larger problems with small-scale quantum computers. Specifically, we concatenate variational quantum eigensolver (VQE) with reducing the dimensions of the syst...