Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum supremacy using a programmable superconducting processor
F. Arute, K. Arya, R. Babbush +74 more·Oct 23, 2019
The promise of quantum computers is that certain computational tasks might be executed exponentially faster on a quantum processor than on a classical processor1. A fundamental challenge is to build a high-fidelity processor capable of running quantu...
Classical Quantum Optimization with Neural Network Quantum States.
Joseph Gomes, K. McKiernan, P. Eastman +1 more·Oct 23, 2019
The classical simulation of quantum systems typically requires exponential resources. Recently, the introduction of a machine learning-based wavefunction ansatz has led to the ability to solve the quantum many-body problem in regimes that had previou...
Quantum fast Poisson solver: the algorithm and complete and modular circuit design
Shengbin Wang, Zhimin Wang, Wendong Li +3 more·Oct 22, 2019
The Poisson equation has applications across many areas of physics and engineering, such as the dynamic process simulation of ocean current. Here we present a quantum algorithm for solving Poisson equation, as well as a complete and modular circuit d...
Leveraging Secondary Storage to Simulate Deep 54-qubit Sycamore Circuits
E. Pednault, John A. Gunnels, G. Nannicini +2 more·Oct 21, 2019
In a recent paper, we showed that secondary storage can extend the range of quantum circuits that can be practically simulated with classical algorithms. Here we refine those techniques and apply them to the simulation of Sycamore circuits with 53 an...
A Domain-agnostic, Noise-resistant, Hardware-efficient Evolutionary Variational Quantum Eigensolver
Arthur G. Rattew, Shaohan Hu, Marco Pistoia +2 more·Oct 21, 2019
Variational quantum algorithms have shown promise in numerous fields due to their versatility in solving problems of scientific and commercial interest. However, leading algorithms for Hamiltonian simulation, such as the Variational Quantum Eigensolv...
Integrated photonic quantum technologies
Jianwei Wang, F. Sciarrino, A. Laing +1 more·Oct 21, 2019
Quantum technologies comprise an emerging class of devices capable of controlling superposition and entanglement of quantum states of light or matter, to realize fundamental performance advantages over ordinary classical machines. The technology of i...
Quantum-classical simulation of two-site dynamical mean-field theory on noisy quantum hardware
Trevor Keen, T. Maier, S. Johnston +1 more·Oct 21, 2019
We report on a quantum–classical simulation of the single-band Hubbard model using two-site dynamical mean-field theory (DMFT). Our approach uses IBM’s superconducting qubit chip to compute the zero-temperature impurity Green’s function in the time d...
Quantum Simulation of Quantum $\mathbb{Z}_2$ Gauge Theory demonstrated in a GPU Simulator
Xiaopeng Cui, Ji-Chong Yang, Yu Shi·Oct 17, 2019
We outline a quantum simulation scheme of quantum $\mathbb{Z}_2$ gauge theory using quantum adiabatic algorithm implemented in terms of quantum circuit, and then demonstrate it in the classical simulator QuEST using a CUDA enabled GPU server. In part...
Single-step implementation of high-fidelity n -bit Toffoli gates
S. E. Rasmussen, K. Groenland, R. Gerritsma +2 more·Oct 17, 2019
The family of $n$-bit Toffoli gates, with the two-bit Toffoli gate as the figurehead, are of great interest in quantum information as they can be used as universal gates and in quantum error correction, among other things. We present a single-step im...
Designer Monte Carlo simulation for the Gross-Neveu-Yukawa transition
Yuzhi Liu, Wei Wang, K. Sun +1 more·Oct 16, 2019
In this paper, we study the quantum criticality of Dirac fermions via large-scale numerical simulations, focusing on the Gross-Neveu-Yukawa chiral-Ising quantum critical point (QCP) with critical bosonic modes coupled with Dirac fermions. We show tha...
Precise measurement of quantum observables with neural-network estimators
G. Torlai, G. Mazzola, Giuseppe Carleo +1 more·Oct 16, 2019
The measurement precision of modern quantum simulators is intrinsically constrained by the limited set of measurements that can be efficiently implemented on hardware. This fundamental limitation is particularly severe for quantum algorithms where co...
Optimizing quantum phase estimation for the simulation of Hamiltonian eigenstates
P. M. Q. Cruz, G. Catarina, R. Gautier +1 more·Oct 14, 2019
We revisit quantum phase estimation algorithms for the purpose of obtaining the energy levels of many-body Hamiltonians and pay particular attention to the statistical analysis of their outputs. We introduce the mean phase direction of the parent dis...
Noise-Resilient Quantum Dynamics Using Symmetry-Preserving Ansatzes
M. Otten, C. Cortes, S. Gray·Oct 14, 2019
We describe and demonstrate a method for the computation of quantum dynamics on small, noisy universal quantum computers. This method relies on the idea of `restarting' the dynamics; at least one approximate time step is taken on the quantum computer...
Compilation by stochastic Hamiltonian sparsification
Yingkai Ouyang, D. R. White, E. Campbell·Oct 14, 2019
Simulation of quantum chemistry is expected to be a principal application of quantum computing. In quantum simulation, a complicated Hamiltonian describing the dynamics of a quantum system is decomposed into its constituent terms, where the effect of...
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing Quantum machine learning
Nai-Hui Chia, András Gilyén, Tongyang Li +3 more·Oct 14, 2019
We present an algorithmic framework for quantum-inspired classical algorithms on close-to-low-rank matrices, generalizing the series of results started by Tang’s breakthrough quantum-inspired algorithm for recommendation systems [STOC’19]. Motivated ...
Quantum Algorithms for Mixed Binary Optimization Applied to Transaction Settlement
L. Braine, D. Egger, Jennifer R. Glick +1 more·Oct 13, 2019
In this article, we extend variational quantum optimization algorithms for quadratic unconstrained binary optimization problems to the class of mixed binary optimization problems. This allows us to combine binary decision variables with continuous de...
Efficient simulation of random states and random unitaries
G. Alagic, Christian Majenz, A. Russell·Oct 13, 2019
We consider the problem of efficiently simulating random quantum states and random unitary operators, in a manner which is convincing to unbounded adversaries with black-box oracle access. This problem has previously only been considered for restric...
Dynamical mean field theory algorithm and experiment on quantum computers
I. Rungger, Nathan Fitzpatrick, Honxiang Chen +12 more·Oct 10, 2019
The developments of quantum computing algorithms and experiments for atomic scale simulations have largely focused on quantum chemistry for molecules, while their application in condensed matter systems is scarcely explored. Here we present a quantum...
Variational fast forwarding for quantum simulation beyond the coherence time
Cristina Cîrstoiu, Zoe Holmes, Joseph Iosue +3 more·Oct 9, 2019
Trotterization-based, iterative approaches to quantum simulation (QS) are restricted to simulation times less than the coherence time of the quantum computer (QC), which limits their utility in the near term. Here, we present a hybrid quantum-classic...
Spectral sparsification of matrix inputs as a preprocessing step for quantum algorithms
Steven Herbert, Sathyawageeswar Subramanian·Oct 7, 2019
We study the potential utility of classical techniques of spectral sparsification of graphs as a preprocessing step for digital quantum algorithms, in particular, for Hamiltonian simulation. Our results indicate that spectral sparsification of a grap...