Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Parallel in time dynamics with quantum annealers
Konrad Jalowiecki, A. Więckowski, P. Gawron +1 more·Sep 11, 2019
Recent years have witnessed an unprecedented increase in experiments and hybrid simulations involving quantum computers. In particular, quantum annealers. There exist a plethora of algorithms promising to outperform classical computers in the near-te...
On the natural gradient for variational quantum eigensolver
N. Yamamoto·Sep 11, 2019
The variational quantum eigensolver is a hybrid algorithm composed of quantum state driving and classical parameter optimization, for finding the ground state of a given Hamiltonian. The natural gradient method is an optimization method taking into a...
Measurement on quantum devices with applications to time-dependent density functional theory
Jun Yang, James Brown, J. Whitfield·Sep 6, 2019
Quantum algorithms are touted as a way around some classically intractable problems such as the simulation of quantum mechanics. At the end of all quantum algorithms is a quantum measurement whereby classical data is extracted and utilized. In fact, ...
Effects of Quantum Noise on Quantum Approximate Optimization Algorithm
Cheng 程 Xue 薛, Z. Chen 陈, Y. Wu 吴 +1 more·Sep 5, 2019
The quantum-classical hybrid algorithm is a promising algorithm with respect to demonstrating the quantum advantage in noisy-intermediate-scale quantum (NISQ) devices. When running such algorithms, effects due to quantum noise are inevitable. In our ...
Transitionless phonon assisted photon-qubit quantum state transfer in a hybrid optomechanical system
A. Saha, A. Sarma·Sep 5, 2019
Quantum state transfer is crucial for quantum information processing and quantum computation. Here, we propose a hybrid optomechanical system capable of coupling a qubit, an optical mode and a mechanical oscillator. The displacement of the mechanical...
QCOR
Tiffany M. Mintz, A. McCaskey, E. Dumitrescu +3 more·Sep 5, 2019
Quantum computing (QC) is an emerging computational paradigm that leverages the laws of quantum mechanics to perform elementary logic operations. Existing programming models for QC were designed with fault-tolerant hardware in mind, envisioning stand...
Quantum-classical hybrid algorithm using an error-mitigating N -representability condition to compute the Mott metal-insulator transition
Scott E. Smart, D. Mazziotti·Aug 28, 2019
Quantum algorithms for molecular electronic structure have been developed with lower computational scaling than their classical counterparts, but emerging quantum hardware is far from being capable of the coherence,connectivity and gate errors requir...
Variational quantum algorithm for nonequilibrium steady states
N. Yoshioka, Yuya O. Nakagawa, K. Mitarai +1 more·Aug 26, 2019
We propose a quantum-classical hybrid algorithm to simulate the non-equilibrium steady state of an open quantum many-body system, named the dissipative-system Variational Quantum Eigensolver (dVQE). To employ the variational optimization technique fo...
A Full Quantum Eigensolver for Quantum Chemistry Simulations
Shijie Wei, Hang Li, Guilu Long·Aug 21, 2019
Quantum simulation of quantum chemistry is one of the most compelling applications of quantum computing. It is of particular importance in areas ranging from materials science, biochemistry, and condensed matter physics. Here, we propose a full quant...
Quantum-Kit: Simulating Shor's Factorization of 24-Bit Number on Desktop
A. Tankasala, H. Ilatikhameneh·Aug 20, 2019
Quantum-Kit is a graphical desktop application for quantum circuit simulations. Its powerful, memory-efficient computational engine enables large-scale simulations on a desktop. The ability to design hybrid circuits, with both quantum and classical b...
Deeply inelastic scattering structure functions on a hybrid quantum computer
N. Mueller, A. Tarasov, R. Venugopalan·Aug 19, 2019
We outline a strategy to compute deeply inelastic scattering structure functions using a hybrid quantum computer. Our approach takes advantage of the representation of the fermion determinant in the QCD path integral as a quantum mechanical path inte...
Noise resilience of variational quantum compiling
Kunal Sharma, Sumeet Khatri, M. Cerezo +1 more·Aug 12, 2019
Variational hybrid quantum-classical algorithms (VHQCAs) are near-term algorithms that leverage classical optimization to minimize a cost function, which is efficiently evaluated on a quantum computer. Recently VHQCAs have been proposed for quantum c...
A method of determining molecular excited-states using quantum computation
P. Jouzdani, Stefan Bringuier, M. Kostuk·Aug 12, 2019
A method is presented in which the ground-state subspace is projected out of a Hamiltonian representation. As a result of this projection, an effective Hamiltonian is constructed where its ground-state coincides with an excited-state of the original ...
Quantum hydrodynamics of a single particle
D. Suarez-Forero, V. Ardizzone, S. F. Covre da Silva +11 more·Aug 9, 2019
Semiconductor devices are strong competitors in the race for the development of quantum computational systems. In this work, we interface two semiconductor building blocks of different dimensionalities with complementary properties: (1) a quantum dot...
Resource-efficient quantum algorithm for protein folding
A. Robert, P. Barkoutsos, Stefan Woerner +1 more·Aug 6, 2019
Predicting the three-dimensional structure of a protein from its primary sequence of amino acids is known as the protein folding problem. Due to the central role of proteins’ structures in chemistry, biology and medicine applications, this subject ha...
Quantum-enhanced least-square support vector machine: Simplified quantum algorithm and sparse solutions
Jie Lin, Dan-Bo Zhang, Shuo Zhang +3 more·Aug 5, 2019
Abstract Quantum algorithms can enhance machine learning in different aspects. Here, we study quantum-enhanced least-square support vector machine (LS-SVM). Firstly, a novel quantum algorithm that uses continuous variable to assist matrix inversion i...
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...
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...
A hybrid algorithm framework for small quantum computers with application to finding Hamiltonian cycles
Y. Ge, V. Dunjko·Jul 2, 2019
Recent works have shown that quantum computers can polynomially speed up certain SAT-solving algorithms even when the number of available qubits is significantly smaller than the number of variables. Here we generalise this approach. We present a fra...