Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
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...
Efficient quantum circuits for quantum computational chemistry
Y. Yordanov, D. Arvidsson-Shukur, C. Barnes·May 29, 2020
The VQE (variational quantum eigensolver) is a hybrid classical-quantum algorithm that can determine the energy eigenvalues of molecules by solving the electronic structure problem. Compared to other purely quantum algorithms, the VQE requires shallo...
Single-qubit rotations in parameterized quantum circuits
S. E. Rasmussen, N. Loft, T. Bækkegaard +2 more·May 27, 2020
With the advent of hybrid quantum classical algorithms using parameterized quantum circuits the question of how to optimize these algorithms and circuits emerges. In this paper we show that the number of single-qubit rotations in parameterized quantu...
Circuit quantum electrodynamics
A. Blais, A. Grimsmo, S. Girvin +1 more·May 26, 2020
Quantum mechanical effects at the macroscopic level were first explored in Josephson junction-based superconducting circuits in the 1980's. In the last twenty years, the emergence of quantum information science has intensified research toward using t...
Expressibility of the alternating layered ansatz for quantum computation
Kouhei Nakaji, N. Yamamoto·May 26, 2020
The hybrid quantum-classical algorithm is actively examined as a technique applicable even to intermediate-scale quantum computers. To execute this algorithm, the hardware efficient ansatz is often used, thanks to its implementability and expressibil...
Manipulating Complex Hybrid Entanglement and Testing Multipartite Bell Inequalities in a Superconducting Circuit.
Yuwei Ma, Xiaoxuan Pan, W. Cai +9 more·May 20, 2020
Quantum correlations in observables of multiple systems not only are of fundamental interest, but also play a key role in quantum information processing. As a signature of these correlations, the violation of Bell inequalities has not been demonstrat...
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...
An adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer
Linghua Zhu, Ho Lun Tang, George S. Barron +4 more·May 20, 2020
The quantum approximate optimization algorithm (QAOA) is a hybrid variational quantum-classical algorithm that solves combinatorial optimization problems. While there is evidence suggesting that the fixed form of the original QAOA ansatz is not optim...
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...
Variational Quantum Eigensolver for Frustrated Quantum Systems
A. Uvarov, J. Biamonte, D. Yudin·May 1, 2020
Hybrid quantum-classical algorithms have been proposed as a potentially viable application of quantum computers. A particular example - the variational quantum eigensolver, or VQE - is designed to determine a global minimum in an energy landscape spe...
Coreset Clustering on Small Quantum Computers
T. Tomesh, P. Gokhale, Eric R. Anschütz +1 more·Apr 30, 2020
Many quantum algorithms for machine learning require access to classical data in superposition. However, for many natural data sets and algorithms, the overhead required to load the data set in superposition can erase any potential quantum speedup ov...
Combining hard and soft decoders for hypergraph product codes
Antoine Grospellier, Lucien Grouès, Anirudh Krishna +1 more·Apr 23, 2020
Hypergraph product codes are a class of constant-rate quantum low-density parity-check (LDPC) codes equipped with a linear-time decoder called small-set-flip (SSF). This decoder displays sub-optimal performance in practice and requires very large err...
Efficient two-electron ansatz for benchmarking quantum chemistry on a quantum computer
Scott E. Smart, D. Mazziotti·Apr 17, 2020
Quantum chemistry provides key applications for near-term quantum computing, but these are greatly complicated by the presence of noise. In this work we present an efficient ansatz for the computation of two-electron atoms and molecules within a hybr...
Characterizing the memory capacity of transmon qubit reservoirs
S. Dasgupta, Kathleen E. Hamilton, A. Banerjee·Apr 15, 2020
Quantum Reservoir Computing (QRC) exploits the dynamics of quantum ensemble systems for machine learning. Numerical experiments show that quantum systems consisting of 5–7 qubits possess computational capabilities comparable to conventional recurrent...
A hybrid classical-quantum workflow for natural language processing
L. O'Riordan, Myles Doyle, F. Baruffa +1 more·Apr 12, 2020
Natural language processing (NLP) problems are ubiquitous in classical computing, where they often require significant computational resources to infer sentence meanings. With the appearance of quantum computing hardware and simulators, it is worth d...
Quantum transduction of optical photons from a superconducting qubit
M. Mirhosseini, A. Sipahigil, M. Kalaee +1 more·Apr 9, 2020
Bidirectional conversion of electrical and optical signals lies at the foundation of the global internet. Such converters are employed at repeater stations to extend the reach of long-haul fiber optic communication systems and within data centers to ...
Predicting human-generated bitstreams using classical and quantum models
Alex Bocharov, M. Freedman, Eshan Kemp +2 more·Apr 9, 2020
A school of thought contends that human decision making exhibits quantum-like logic. While it is not known whether the brain may indeed be driven by actual quantum mechanisms, some researchers suggest that the decision logic is phenomenologically non...
Training Gaussian boson sampling distributions
L. Banchi, N. Quesada, J. Arrazola·Apr 9, 2020
Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing. Applications have been developed which rely on directly programming GBS devices, but the ability to train and optimize circuits has been a key missing ingredient fo...
Hybrid quantum annealing via molecular dynamics
H. Irie, Haozhao Liang, T. Doi +2 more·Apr 8, 2020
A novel quantum–classical hybrid scheme is proposed to efficiently solve large-scale combinatorial optimization problems. The key concept is to introduce a Hamiltonian dynamics of the classical flux variables associated with the quantum spins of the ...
Classical Optimizers for Noisy Intermediate-Scale Quantum Devices
W. Lavrijsen, Ana Tudor, Juliane Müller +2 more·Apr 6, 2020
We present a collection of optimizers tuned for usage on Noisy Intermediate-Scale Quantum (NISQ) devices. Optimizers have a range of applications in quantum computing, including the Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimi...