Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Computing real time correlation functions on a hybrid classical/quantum computer
N. Mueller, A. Tarasov, R. Venugopalan·Jan 30, 2020
Abstract Quantum devices may overcome limitations of classical computers in studies of nuclear structure functions and parton Wigner distributions of protons and nuclei. In this talk, we discuss a worldline approach to compute nuclear structure funct...
Finding broken gates in quantum circuits: exploiting hybrid machine learning
Margarite L. LaBorde, Allee C. Rogers, J. Dowling·Jan 29, 2020
Current implementations of quantum logic gates can be highly faulty and introduce errors. In order to correct these errors, it is necessary to first identify the faulty gates. We demonstrate a procedure to diagnose where gate faults occur in a circui...
Natural and bionic neuronal membranes: possible sites for quantum biology
L. Smolin·Jan 21, 2020
A new concept for bionic quantum technology is presented based on a hybrid of a silicon wafer on which is layered a phospholipid membrane, such as is found in biological cell membranes. The phosphorus atoms in the head groups of the membranes carry n...
High-Fidelity Control, Detection, and Entanglement of Alkaline-Earth Rydberg Atoms
I. Madjarov, J. Covey, Adam L. Shaw +7 more·Jan 13, 2020
Trapped neutral atoms have become a prominent platform for quantum science, where entanglement fidelity records have been set using highly-excited Rydberg states. However, controlled two-qubit entanglement generation has so far been limited to alkali...
A quantum-classical cloud platform optimized for variational hybrid algorithms
Peter J. Karalekas, N. Tezak, E. C. Peterson +3 more·Jan 13, 2020
In order to support near-term applications of quantum computing, a new compute paradigm has emerged—the quantum-classical cloud—in which quantum computers (QPUs) work in tandem with classical computers (CPUs) via a shared cloud infrastructure. In thi...
QSOR: Quantum-Safe Onion Routing
Zsolt Tujner, Thomas Rooijakkers, M. V. Heesch +1 more·Jan 10, 2020
In this work, we propose a study on the use of post-quantum cryptographic primitives for the Tor network in order to make it safe in a quantum world. With this aim, the underlying keying material has first been analysed. We observe that breaking the ...
Electrodynamics of Highly Spin-Polarized Tunnel Josephson Junctions
H. G. Ahmad, R. Caruso, A. Pal +5 more·Jan 10, 2020
The continuous development of superconducting electronics is encouraging several studies on hybrid Josephson junctions (JJs) based on superconductor/ferromagnet/superconductor (SFS) heterostructures, as either spintronic devices or switchable element...
Quantum computation of molecular response properties
Xiaoxia Cai, W. Fang, H. Fan +1 more·Jan 10, 2020
Accurately predicting response properties of molecules such as the dynamic polarizability and hyperpolarizability using quantum mechanics has been a long-standing challenge with widespread applications in material and drug design. Classical simulatio...
Quantum subspace alignment for domain adaptation
Xi He, Xiaoting Wang·Jan 8, 2020
Domain adaptation (DA) is used for adaptively obtaining labels of an unprocessed data set with a given related, but different labelled data set. Subspace alignment (SA), a representative DA algorithm, attempts to find a linear transformation to align...
Quantum implementation of an artificial feed-forward neural network
F. Tacchino, P. Barkoutsos, C. Macchiavello +3 more·Dec 28, 2019
Artificial intelligence algorithms largely build on multi-layered neural networks. Coping with their increasing complexity and memory requirements calls for a paradigmatic change in the way these powerful algorithms are run. Quantum computing promise...
Approximate graph spectral decomposition with the Variational Quantum Eigensolver
Josh Payne, Mario Srouji·Dec 27, 2019
Spectral graph theory is a branch of mathematics that studies the relationships between the eigenvectors and eigenvalues of Laplacian and adjacency matrices and their associated graphs. The Variational Quantum Eigen- solver (VQE) algorithm was propos...
What do QAOA energies reveal about graphs
M. Szegedy·Dec 27, 2019
Quantum Approximate Optimization Algorithm (QAOA) is a hybrid classical-quantum algorithm to approximately solve NP optimization problems such as MAX-CUT. We describe a new application area of QAOA circuits: graph structure discovery. We omit the tim...
How to Teach AI to Play Bell Non-Local Games: Reinforcement Learning
Kishor Bharti, T. Haug, V. Vedral +1 more·Dec 23, 2019
Motivated by the recent success of reinforcement learning in games such as Go and Dota2, we formulate Bell non-local games as a reinforcement learning problem. Such a formulation helps us to explore Bell non-locality in a range of scenarios. The meas...
Quantum Secure Probably-Approximately-Correct Learning
Wooyeong Song, Youngrong Lim, Hyukjoon Kwon +5 more·Dec 23, 2019
Studies addressing the question "Can a learner complete the learning securely?" have recently been spurred from the standpoints of fundamental theory and potential applications. In the relevant context of this question, we present a classical-quantum...
Applying the Quantum Approximate Optimization Algorithm to the Tail-Assignment Problem
Pontus Vikstål, Mattias Grönkvist, Marika Svensson +3 more·Dec 22, 2019
Airlines today are faced with a number of large scale scheduling problems. One such problem is the tail assignment problem, which is the task of assigning individual aircraft to a given set of flights, minimizing the overall cost. Each aircraft is id...
Enhanced connectivity of quantum hardware with digital-analog control
Asier Galicia, Borja Ramon, E. Solano +1 more·Dec 19, 2019
Quantum computers based on superconducting circuits are experiencing a rapid development, aiming at outperforming classical computers in certain useful tasks in the near future. However, the currently available chip fabrication technologies limit the...
Quantum transfer component analysis for domain adaptation
Xi He, Chufan Lyu, Min-Hsiu Hsieh +1 more·Dec 19, 2019
Domain adaptation, a crucial sub-field of transfer learning, aims to utilize known knowledge of one data set to accomplish tasks on another data set. In this paper, we perform one of the most representative domain adaptation algorithms, transfer comp...
Transfer learning in hybrid classical-quantum neural networks
A. Mari, T. Bromley, J. Izaac +2 more·Dec 17, 2019
We extend the concept of transfer learning, widely applied in modern machine learning algorithms, to the emerging context of hybrid neural networks composed of classical and quantum elements. We propose different implementations of hybrid transfer le...
Highly Transparent Contacts to the 1D Hole Gas in Ultra-Scaled Ge/Si Core/Shell Nanowires.
M. Sistani, Jovian Delaforce, R. Kramer +10 more·Dec 9, 2019
Semiconductor-superconductor hybrid systems have outstanding potential for emerging high performance nanoelectronics and quantum devices. However, critical to their successful application is the fabrication of high quality and reproducible semiconduc...
A Quantum Algorithm for Linear PDEs Arising in Finance
F. Fontanela, Antoine Jacquier, Mugad Oumgari·Dec 5, 2019
We propose a hybrid quantum-classical algorithm, originated from quantum chemistry, to price European and Asian options in the Black-Scholes model. Our approach is based on the equivalence between the pricing partial differential equation and the Sch...