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 and quantum circuit for A-optimal projection: Dimensionality reduction
Bo-jia Duan, Jiabin Yuan, Juan Xu +1 more·Dec 23, 2018
Learning low dimensional representation is a crucial issue for many machine learning tasks such as pattern recognition and image retrieval. In this article, we present a quantum algorithm and a quantum circuit to efficiently perform A-Optimal Project...
Quantum query complexity of symmetric oracle problems
D. Copeland, James Pommersheim·Dec 22, 2018
We study the query complexity of quantum learning problems in which the oracles form a group G of unitary matrices. In the simplest case, one wishes to identify the oracle, and we find a description of the optimal success probability of a t-query qua...
Semiconductor quantum computation
Xin Zhang, Haiou Li, Gang Cao +3 more·Dec 22, 2018
Abstract Semiconductors, a significant type of material in the information era, are becoming more and more powerful in the field of quantum information. In recent decades, semiconductor quantum computation was investigated thoroughly across the world...
Learning formation energy of inorganic compounds using matrix variate deep Gaussian process
Saket V Mishra, P. Tagade·Dec 22, 2018
Future advancement of engineering applications is dependent on design of novel materials with desired properties. Enormous size of known chemical space necessitates use of automated high throughput screening to search the desired material. The high t...
Ground state energy: Can it really be reached with quantum annealers?
Jakub Czartowski, K. Szymanski, Bartłomiej Gardas +2 more·Dec 21, 2018
Finding the ground state energy of a Hamiltonian $H$, which describes a quantum system of several interacting subsystems, is crucial as well for many-body physics as for various optimization problems. Variety of algorithms and simulation procedures (...
QuCumber: wavefunction reconstruction with neural networks
M. Beach, Isaac J.S. De Vlugt, A. Golubeva +6 more·Dec 21, 2018
As we enter a new era of quantum technology, it is increasingly important to develop methods to aid in the accurate preparation of quantum states for a variety of materials, matter, and devices. Computational techniques can be used to reconstruct a s...
Quantum Miss-in-the-Middle Attack
Huiqin Xie, Li Yang·Dec 20, 2018
We apply Simon's algorithm to the miss-in-the-middle technique and propose a quantum algorithm for finding impossible differentials of a general block cipher. We prove that, under certain assumption on the block cipher, the differentials output by th...
Scalable fermionic error correction in Majorana surface codes
O. Viyuela, S. Vijay, L. Fu·Dec 20, 2018
We study the error correcting properties of Majorana Surface Codes (MSC), topological quantum codes constructed out of interacting Majorana fermions, which can be used to store quantum information and perform quantum computation. These quantum memori...
Photoconductive heaters enable control of large-scale silicon photonic ring resonator circuits
H. Jayatilleka, Hossam Shoman, L. Chrostowski +1 more·Dec 20, 2018
A multitude of large-scale silicon photonic systems based on ring resonators have been envisioned for applications ranging from biomedical sensing to quantum computing and machine learning. Yet, due to the lack of a scalable solution for controlling ...
Parameter optimization and real-time calibration of a measurement-device-independent quantum key distribution network based on a back propagation artificial neural network
Feng-Yu Lu, Zhen-Qiang Yin, Chao Wang +8 more·Dec 20, 2018
Selection of parameters (e.g., the probability of choosing an X-basis or Z-basis, the intensity of signal state and decoy state, etc.) and system calibrating are more challenging when the number of users of a measurement-device-independent quantum ke...
Theory of variational quantum simulation
Xiao Yuan, Suguru Endo, Qi Zhao +2 more·Dec 20, 2018
The variational method is a versatile tool for classical simulation of a variety of quantum systems. Great efforts have recently been devoted to its extension to quantum computing for efficiently solving static many-body problems and simulating real ...
Open source software in quantum computing
M. Fingerhuth, Tomás Babej, P. Wittek·Dec 20, 2018
Open source software is becoming crucial in the design and testing of quantum algorithms. Many of the tools are backed by major commercial vendors with the goal to make it easier to develop quantum software: this mirrors how well-funded open machine ...
Optimizing Quantum Error Correction Codes with Reinforcement Learning
Hendrik Poulsen Nautrup, Nicolas Delfosse, V. Dunjko +2 more·Dec 20, 2018
Quantum error correction is widely thought to be the key to fault-tolerant quantum computation. However, determining the most suited encoding for unknown error channels or specific laboratory setups is highly challenging. Here, we present a reinforce...
Resonance energy transfer and quantum entanglement mediated by epsilon-near-zero and other plasmonic waveguide systems.
Ying Li, A. Nemilentsau, C. Argyropoulos·Dec 20, 2018
The resonance energy transfer and entanglement between two-level quantum emitters are typically limited to sub-wavelength distances due to the inherently short-range nature of the dipole-dipole interactions. Moreover, the entanglement of quantum syst...
Entanglement renormalization and symmetry fractionalization
Sukhbinder Singh, Nathan A. McMahon, G. Brennen·Dec 20, 2018
It is well known that the matrix product state (MPS) description of a gapped ground state with a global on-site symmetry can exhibit "symmetry fractionalization." Namely, even though the symmetry acts as a linear representation on the physical degree...
Variational Quantum Simulation of General Processes.
Suguru Endo, Jinzhao Sun, Y. Li +2 more·Dec 20, 2018
Variational quantum algorithms have been proposed to solve static and dynamic problems of closed many-body quantum systems. Here we investigate variational quantum simulation of three general types of tasks-generalized time evolution with a non-Hermi...
Training of quantum circuits on a hybrid quantum computer
D. Zhu, N. Linke, Marcello Benedetti +10 more·Dec 20, 2018
We train generative modeling circuits on a quantum hybrid computer showing an optimization strategy and a resource trade-off. Generative modeling is a flavor of machine learning with applications ranging from computer vision to chemical design. It is...
Towards long-distance quantum networks with superconducting processors and optical links
Sourabh Kumar, N. Lauk, C. Simon·Dec 20, 2018
We design a quantum repeater architecture, necessary for long distance quantum networks, using the recently proposed microwave cat state qubits, formed and manipulated via interaction between a superconducting nonlinear element and a microwave cavity...
Machine learning for optimal parameter prediction in quantum key distribution
Wenyuan Wang, H. Lo·Dec 19, 2018
For a practical quantum key distribution (QKD) system, parameter optimization, the choice of intensities and the probabilities of sending them, is a crucial step in gaining optimal performance, especially when one realistically considers a finite com...
Majorana Loop Stabilizer Codes for Error Mitigation in Fermionic Quantum Simulations
Zhang Jiang, J. McClean, R. Babbush +1 more·Dec 19, 2018
Fermion-to-qubit mappings that preserve geometric locality are especially useful for simulating lattice fermion models (e.g., the Hubbard model) on a quantum computer. They avoid the overhead associated with geometric non-local parity terms in mappin...