Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
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...
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
Guillaume Verdon, Jacob A. Marks, Sasha Nanda +2 more·Oct 4, 2019
We introduce a new class of generative quantum-neural-network-based models called Quantum Hamiltonian-Based Models (QHBMs). In doing so, we establish a paradigmatic approach for quantum-probabilistic hybrid variational learning, where we efficiently ...
Unfolding quantum computer readout noise
B. Nachman, M. Urbánek, W. D. de Jong +1 more·Oct 4, 2019
In the current era of noisy intermediate-scale quantum computers, noisy qubits can result in biased results for early quantum algorithm applications. This is a significant challenge for interpreting results from quantum computer simulations for quant...
Quantum-classical reinforcement learning for decoding noisy classical parity information
K. Park, Jonghun Park, J. Rhee·Oct 2, 2019
Learning a hidden parity function from noisy data, known as learning parity with noise (LPN), is an example of intelligent behavior that aims to generalize a concept based on noisy examples. The solution to LPN immediately leads to decoding a random ...
Quantum Coin Method for Numerical Integration
N. H. Shimada, T. Hachisuka·Oct 1, 2019
Light transport simulation in rendering is formulated as a numerical integration problem in each pixel, which is commonly estimated by Monte Carlo integration. Monte Carlo integration approximates an integral of a black‐box function by taking the ave...
Resource-efficient digital quantum simulation of d-level systems for photonic, vibrational, and spin-s Hamiltonians
Nicolas P. D. Sawaya, Tim Menke, T. Kyaw +3 more·Sep 27, 2019
Simulation of quantum systems is expected to be one of the most important applications of quantum computing, with much of the theoretical work so far having focused on fermionic and spin-12\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackag...
Calculation of the Green's function on near-term quantum computers
Suguru Endo, I. Kurata, Yuya O. Nakagawa·Sep 26, 2019
The Green's function plays a crucial role when studying the nature of quantum many-body systems, especially strongly-correlated systems. Although the development of quantum computers in the near future may enable us to compute energy spectra of class...
Classical algorithms for quantum mean values
S. Bravyi, David Gosset, R. Movassagh·Sep 25, 2019
Quantum algorithms hold the promise of solving certain computational problems dramatically faster than their classical counterparts. The latest generation of quantum processors with ~50 qubits are expected to be at the brink of outperforming classica...
Quantum semi-supervised kernel learning
Seyran Saeedi, Ali (Aliakbar) Panahi, Tom Arodz·Sep 25, 2019
Quantum machine learning methods have the potential to facilitate learning using extremely large datasets. While the availability of data for training machine learning models is steadily increasing, oftentimes it is much easier to collect feature vec...
Mixed algorithmic-analog simulation of many body dynamics using interaction of fixed-frequency superconducting qubits
D. Babukhin, A. Zhukov, W. Pogosov·Sep 24, 2019
In recent years there was a huge experimental progress towards the development of prototypes of algorithmic quantum processors. These quantum machines are not free from imperfections and various technological and scientific problems remain to be solv...
Computational Chemistry on Quantum Computers
Jerimiah Wright·Sep 24, 2019
The purpose of this experiment was to use the known analytical techniques to study the creation, simulation, and measurements of molecular Hamiltonians. The techniques used consisted of the Linear Combination of Atomic Orbitals (LCAO), the Linear Com...
Quantum digital cooling
S. Polla, Y. Herasymenko, T. O’Brien·Sep 23, 2019
We introduce a method for digital preparation of ground states of a simulated Hamiltonians, inspired by cooling in nature and adapted to leverage the capabilities of digital quantum hardware. The cold bath is simulated by a single ancillary qubit, wh...
A Multilayer Network Approach to Quantum Computing
P. Sakkaris, R. Sudhakaran·Sep 21, 2019
The circuit model of quantum computation is reformulated as a multilayer network theory [3] called a Quantum Multiverse Network (QuMvN). The QuMvN formulation allows us to interpret the quantum wave function as a combination of ergodic Markov Chains ...
Efficient simulation of open quantum systems coupled to a fermionic bath
Alexander Nusseler, Ish Dhand, S. Huelga +1 more·Sep 20, 2019
We present and analyze the fermionic time evolving density matrix using orthogonal polynomials algorithm (fTEDOPA), which enables the numerically exact simulation of open quantum systems coupled to a fermionic environment. The method allows for simul...
Quantum Filter Diagonalization: Quantum Eigendecomposition without Full Quantum Phase Estimation
R. Parrish, P. McMahon·Sep 19, 2019
We develop a quantum filter diagonalization method (QFD) that lies somewhere between the variational quantum eigensolver (VQE) and the phase estimation algorithm (PEA) in terms of required quantum circuit resources and conceptual simplicity. QFD uses...
Hybrid quantum error correction in qubit architectures
L. B. Kristensen, M. Kjaergaard, C. K. Andersen +1 more·Sep 19, 2019
Noise and errors are inevitable parts of any practical implementation of a quantum computer. As a result, large-scale quantum computation will require ways to detect and correct errors on quantum information. Here, we present such a quantum error cor...
Variational quantum simulation of ultrastrong light-matter coupling
A. Di Paolo, P. Barkoutsos, I. Tavernelli +1 more·Sep 18, 2019
We propose the simulation of quantum-optical systems in the ultrastrong-coupling regime using a variational quantum algorithm. More precisely, we introduce a short-depth variational form to prepare the groundstate of the multimode Dicke model on a qu...
Fault-tolerant quantum error correction on near-term quantum processors using flag and bridge qubits
L. Lao, C. G. Almudéver·Sep 17, 2019
Fault-tolerant (FT) computation by using quantum error correction (QEC) is essential for realizing large-scale quantum algorithms. Devices are expected to have enough qubits to demonstrate aspects of fault tolerance in the near future. However, these...
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...
Studying Qubit Interactions with Multimode Cavities Using QuTiP
S. Shreeram·Sep 10, 2019
The project uses QuTiP, a quantum computing framework, to simulate interactions between two-qubits coupled with each other via three resonators. The main aim of this project is to build machinery of techniques to understand complex qubit-cavity inter...