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 algorithm for the simulation of open-system dynamics and thermalization
H. Su, Ying Li·Aug 10, 2019
The quantum open-system simulation is an important category of quantum simulation. By simulating the thermalisation process at the zero temperature, we can solve the ground-state problem of quantum systems. To realise the open-system evolution on the...
Optimizing quantum heuristics with meta-learning
M. Wilson, Rachel Stromswold, F. Wudarski +3 more·Aug 8, 2019
Variational quantum algorithms, a class of quantum heuristics, are promising candidates for the demonstration of useful quantum computation. Finding the best way to amplify the performance of these methods on hardware is an important task. Here, we e...
Knapsack Problem variants of QAOA for battery revenue optimisation
Pierre Dupuy de la Grand'rive, J. Hullo·Aug 6, 2019
We implement two Quantum Approximate Optimisation Algorithm (QAOA) variants for a battery revenue optimisation problem, equivalent to the weakly NP-hard Knapsack Problem. Both approaches investigate how to tackle constrained problems with QAOA. A fir...
Spin-2 BEC spinor superfluid soliton-soliton scattering in one and two space dimensions.
Jasper Taylor, Steven Smith, J. Yepez·Jul 30, 2019
Presented is a study of a spin-2 Bose-Einstein condensate (BEC) by unitary quantum simulations of time-dependent soliton-soliton scattering. The quantum simulation method is based on a quantum lattice algorithm which is designed for implementation on...
Efficient and noise resilient measurements for quantum chemistry on near-term quantum computers
W. Huggins, J. McClean, N. Rubin +4 more·Jul 30, 2019
Variational algorithms are a promising paradigm for utilizing near-term quantum devices for modeling electronic states of molecular systems. However, previous bounds on the measurement time required have suggested that the application of these techni...
Quantum fast hitting on glued trees mapped on a photonic chip
Zi-Yu Shi, Hao Tang, Zhen Feng +7 more·Jul 29, 2019
Hitting the exit node from the entrance node faster on a graph is one of the properties that quantum walk algorithms can take advantage of to outperform classical random walk algorithms. Especially, continuous-time quantum walks on central-random glu...
Well-conditioned multiproduct Hamiltonian simulation
G. Low, V. Kliuchnikov, N. Wiebe·Jul 26, 2019
Product formula approximations of the time-evolution operator on quantum computers are of great interest due to their simplicity, and good scaling with system size by exploiting commutativity between Hamiltonian terms. However, product formulas exhib...
Alibaba Cloud Quantum Development Kit: Large-Scale Classical Simulation of Quantum Circuits
Fang Zhang, Cupjin Huang, M. Newman +10 more·Jul 25, 2019
We report, in a sequence of notes, our work on the Alibaba Cloud Quantum Development Kit (AC-QDK). AC-QDK provides a set of tools for aiding the development of both quantum computing algorithms and quantum processors, and is powered by a large-scale ...
Continuous-variable quantum computing in the quantum optical frequency comb
O. Pfister·Jul 23, 2019
This topical review introduces the theoretical and experimental advances in continuous-variable (CV)—i.e. qumode-based in lieu of qubit-based—large-scale, fault-tolerant quantum computing and quantum simulation. An introduction to the physics and mat...
Phase estimation with randomized Hamiltonians
I. Kivlichan, C. Granade, N. Wiebe·Jul 23, 2019
Iterative phase estimation has long been used in quantum computing to estimate Hamiltonian eigenvalues. This is done by applying many repetitions of the same fundamental simulation circuit to an initial state, and using statistical inference to glean...
Quantum algorithm for the Vlasov equation
A. Engel, Graeme Smith, S. Parker·Jul 22, 2019
The Vlasov-Maxwell system of equations, which describes classical plasma physics, is extremely challenging to solve, even by numerical simulation on powerful computers. By linearizing and assuming a Maxwellian background distribution function, we con...
Always-On Quantum Error Tracking with Continuous Parity Measurements
Razieh Mohseninia, Jing Yang, I. Siddiqi +2 more·Jul 20, 2019
We investigate quantum error correction using continuous parity measurements to correct bit-flip errors with the three-qubit code. Continuous monitoring of errors brings the benefit of a continuous stream of information, which facilitates passive err...
Finite Speed of Quantum Scrambling with Long Range Interactions.
Chi-Fang Chen, A. Lucas·Jul 17, 2019
In a locally interacting many-body system, two isolated qubits, separated by a large distance r, become correlated and entangled with each other at a time t≥r/v. This finite speed v of quantum information scrambling limits quantum information process...
Quantum channel correction with twisted light using compressive sensing
C. Mabena, F. S. Roux·Jul 17, 2019
Compressive sensing is used to perform high-dimensional quantum channel estimation with classical light. As an example, we perform a numerical simulation for the case of a three-dimensional classically non-separable state that is propagated through a...
Analysis of Quantum Approximate Optimization Algorithm under Realistic Noise in Superconducting Qubits
M. Alam, Abdullah Ash-Saki, Swaroop Ghosh·Jul 13, 2019
The quantum approximate optimization algorithm (QAOA) is a promising quantum-classical hybrid technique to solve combinatorial optimization problems in near-term gate-based noisy quantum devices. In QAOA, the objective is a function of the quantum st...
Improving Variational Quantum Optimization using CVaR
P. Barkoutsos, G. Nannicini, A. Robert +2 more·Jul 10, 2019
Hybrid quantum/classical variational algorithms can be implemented on noisy intermediate-scale quantum computers and can be used to find solutions for combinatorial optimization problems. Approaches discussed in the literature minimize the expectatio...
2-designs and redundant syndrome extraction for quantum error correction
Vickram N. Premakumar, H. Sha, D. Crow +2 more·Jul 10, 2019
Imperfect measurement can degrade a quantum error correction scheme. A solution that restores fault tolerance is to add redundancy to the process of syndrome extraction. In this work, we show how to optimize this process for an arbitrary ratio of dat...
Quantum Computers as Universal Quantum Simulators: State‐of‐the‐Art and Perspectives
F. Tacchino, A. Chiesa, S. Carretta +1 more·Jul 8, 2019
The past few years have witnessed the concrete and fast spreading of quantum technologies for practical computation and simulation. In particular, quantum computing platforms based on either trapped ions or superconducting qubits have become availabl...
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning
I. Glasser, R. Sweke, Nicola Pancotti +2 more·Jul 8, 2019
Tensor-network techniques have enjoyed outstanding success in physics, and have recently attracted attention in machine learning, both as a tool for the formulation of new learning algorithms and for enhancing the mathematical understanding of existi...
Credit Risk Analysis Using Quantum Computers
D. Egger, Ricardo García Gutiérrez, Jordi Cahu'e Mestre +1 more·Jul 5, 2019
We present and analyze a quantum algorithm to estimate credit risk more efficiently than Monte Carlo simulations can do on classical computers. More precisely, we estimate the economic capital requirement, i.e. the difference between the Value at Ris...