Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
An adaptive variational algorithm for exact molecular simulations on a quantum computer
Harper R. Grimsley, S. Economou, Edwin Barnes +1 more·Dec 28, 2018
Quantum simulation of chemical systems is one of the most promising near-term applications of quantum computers. The variational quantum eigensolver, a leading algorithm for molecular simulations on quantum hardware, has a serious limitation in that ...
Variational consistent histories as a hybrid algorithm for quantum foundations
A. Arrasmith, L. Cincio, A. Sornborger +2 more·Dec 27, 2018
Although quantum computers are predicted to have many commercial applications, less attention has been given to their potential for resolving foundational issues in quantum mechanics. Here we focus on quantum computers’ utility for the Consistent His...
Training of quantum circuits on a hybrid quantum computer
D. Zhu, N. Linke, Marcello Benedetti +10 more·Dec 20, 2018
We train generative modeling circuits on a quantum hybrid computer showing an optimization strategy and a resource trade-off. Generative modeling is a flavor of machine learning with applications ranging from computer vision to chemical design. It is...
QAOA for Max-Cut requires hundreds of qubits for quantum speed-up
G. Guerreschi, A. Y. Matsuura·Dec 18, 2018
Computational quantum technologies are entering a new phase in which noisy intermediate-scale quantum computers are available, but are still too small to benefit from active error correction. Even with a finite coherence budget to invest in quantum i...
Accuracy and Resource Estimations for Quantum Chemistry on a Near-term Quantum Computer.
Michael Kühn, S. Zanker, P. Deglmann +2 more·Dec 17, 2018
The study and prediction of chemical reactivity is one of the most important application areas of molecular quantum chemistry. Large-scale, fully error-tolerant quantum computers could provide exact or near-exact solutions to the underlying electroni...
Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices
Leo Zhou, Sheng-Tao Wang, Soonwon Choi +2 more·Dec 1, 2018
The Quantum Approximate Optimization Algorithm (QAOA) is a hybrid quantum-classical variational algorithm designed to tackle combinatorial optimization problems. Despite its promise for near-term quantum applications, not much is currently understood...
Scalar quantum field theories as a benchmark for near-term quantum computers
Kubra Yeter-Aydeniz, E. Dumitrescu, A. McCaskey +3 more·Nov 29, 2018
Quantum field theory (QFT) simulations are a potentially important application for noisy intermediate scale quantum (NISQ) computers. The ability of a quantum computer to emulate a QFT, therefore, constitutes a natural application-centric benchmark. ...
Evaluating analytic gradients on quantum hardware
M. Schuld, V. Bergholm, C. Gogolin +2 more·Nov 27, 2018
An important application for near-term quantum computing lies in optimization tasks, with applications ranging from quantum chemistry and drug discovery to machine learning. In many settings --- most prominently in so-called parametrized or variation...
Universal quantum gate with hybrid qubits in circuit quantum electrodynamics.
Chuiping Yang, Zhen-Fei Zheng, Yu Zhang·Nov 21, 2018
Hybrid qubits have recently drawn intense attention in quantum computing. We here propose a method to implement a universal controlled-phase gate of two hybrid qubits via two three-dimensional (3D) microwave cavities coupled to a superconducting flux...
Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem
G. Crooks·Nov 20, 2018
The Quantum Approximate Optimization Algorithm (QAOA) is a promising approach for programming a near-term gate-based hybrid quantum computer to find good approximate solutions of hard combinatorial problems. However, little is currently know about th...
Quantum Engineering of Majorana Fermions
Eric Mascot, S. Cocklin, S. Rachel +1 more·Nov 16, 2018
Chiral superconductors have the ability to host topologically protected Majorana zero modes which have been proposed as future qubits for topological quantum computing. The recently introduced magnet--superconductor hybrid (MSH) systems consisting of...
PennyLane: Automatic differentiation of hybrid quantum-classical computations
V. Bergholm, J. Izaac, M. Schuld +65 more·Nov 12, 2018
PennyLane is a Python 3 software framework for differentiable programming of quantum computers. The library provides a unified architecture for near-term quantum computing devices, supporting both qubit and continuous-variable paradigms. PennyLane's ...
Robust quantum compilation and circuit optimisation via energy minimisation
Tyson Jones, S. Benjamin·Nov 7, 2018
We explore a method for automatically recompiling a quantum circuit A into a target circuit B, with the goal that both circuits have the same action on a specific input i.e. B∣in⟩=A∣in⟩. This is of particular relevance to hybrid, NISQ-era algorithms ...
An artificial neuron implemented on an actual quantum processor
F. Tacchino, C. Macchiavello, D. Gerace +1 more·Nov 6, 2018
Artificial neural networks are the heart of machine learning algorithms and artificial intelligence. Historically, the simplest implementation of an artificial neuron traces back to the classical Rosenblatt’s “perceptron”, but its long term practical...
A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding
M. Fingerhuth, T. Babej, C. Ing·Oct 31, 2018
Gate-based universal quantum computers form a rapidly evolving field of quantum computing hardware technology. In previous work, we presented a quantum algorithm for lattice protein folding on a cubic lattice, tailored for quantum annealers. In this ...
Network Community Detection on Small Quantum Computers
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro +2 more·Oct 30, 2018
In recent years, a number of quantum computing devices with small numbers of qubits have become available. A hybrid quantum local search (QLS) approach that combines a classical machine and a small quantum device to solve problems of practical size i...
A framework for algorithm deployment on cloud-based quantum computers
Sukin Sim, Yudong Cao, J. Romero +2 more·Oct 24, 2018
In recent years, the field of quantum computing has significantly developed in both the improvement of hardware as well as the assembly of various software tools and platforms, including cloud access to quantum devices. Unfortunately, many of these r...
Variational quantum state diagonalization
Ryan Larose, Arkin Tikku, É. O’Neel-Judy +2 more·Oct 24, 2018
Variational hybrid quantum-classical algorithms are promising candidates for near-term implementation on quantum computers. In these algorithms, a quantum computer evaluates the cost of a gate sequence (with speedup over classical cost evaluation), a...
Quantum annealing learning search for solving QUBO problems
D. Pastorello, E. Blanzieri·Oct 22, 2018
In this paper, we present a novel strategy to solve optimization problems within a hybrid quantum-classical scheme based on quantum annealing, with a particular focus on QUBO problems. The proposed algorithm implements an iterative structure where th...
Reverse quantum annealing approach to portfolio optimization problems
D. Venturelli, A. Kondratyev·Oct 19, 2018
We investigate a hybrid quantum-classical solution method to the mean-variance portfolio optimization problems. Starting from real financial data statistics and following the principles of the Modern Portfolio Theory, we generate parametrized samples...