Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,639 papers in 12 months (-16% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Study of using Quantum Computer to Solve Poisson Equation in Gate Insulators
Hector Jose Morrell, H. Wong·Jul 13, 2021
In this paper, the application of quantum computing (QC) in solving gate insulator Poisson equation is studied, through QC simulator and hardware in IBM. Various gate insulator stacks with and without fixed charges are studied. It is found that by in...
Quantum Radon Transforms and Their Applications
Guangsheng Ma, Hongbo Li, Jiman Zhao·Jul 12, 2021
This article extends the Radon transform, a classical image-processing tool for fast tomography and denoising, to the quantum computing platform. A new kind of periodic discrete Radon transform (PDRT), called the quantum periodic discrete Radon trans...
Experimental Simulation of Open Quantum System Dynamics via Trotterization.
Jiaxiu Han, W. Cai, Ling Hu +8 more·Jul 9, 2021
Digital quantum simulators provide a diversified tool for solving the evolution of quantum systems with complicated Hamiltonians and hold great potential for a wide range of applications. Although much attention is paid to the unitary evolution of cl...
Optical reconstruction of the collective density matrix of a qutrit
Marek Kopciuch, S. Pustelny·Jul 8, 2021
Reconstruction of a quantum state is of prime importance for quantum-information science. Specifically, means of efficient determination of a state of atoms of room-temperature vapor may enable applications in quantum computations and cryptography. T...
A Quantum Convolutional Neural Network for Image Classification
Yanxuan Lü, Qing Gao, Jinhu Lü +2 more·Jul 8, 2021
Artificial neural networks have achieved great success in many fields ranging from image recognition to video understanding. However, its high requirements for computing and memory resources have limited further development on processing big data wit...
Reducing Network Cooling Cost Using Twin-Field Quantum Key Distribution
V. Karavias, A. Lord, Mike Payne·Jul 6, 2021
Improving the rates and distances over which quantum secure keys are generated is a major challenge. New source and detector hardware can improve key rates significantly, however it can require expensive cooling. We show that Twin Field Quantum Key D...
Quantum Annealing Formulation for Binary Neural Networks
M. Sasdelli, Tat-Jun Chin·Jul 5, 2021
Quantum annealing is a promising paradigm for building practical quantum computers. Compared to other approaches, quantum annealing technology has been scaled up to a larger number of qubits. On the other hand, deep learning has been profoundly succe...
Quantum imaginary-time evolution algorithm for quantum field theories with continuous variables
Kubra Yeter-Aydeniz, Eleftherios Moschandreou, G. Siopsis·Jul 2, 2021
We calculate the energy levels and corresponding eigenstates of an interacting scalar quantum field theory on a lattice using a continuous-variable version of the quantum imaginary time evolution algorithm. Only a single qumode is needed for the simu...
Qubit-Based Clock Synchronization for QKD Systems Using a Bayesian Approach
Roderick D. Cochran, D. Gauthier·Jul 2, 2021
Quantum key distribution (QKD) systems provide a method for two users to exchange a provably secure key. Synchronizing the users’ clocks is an essential step before a secure key can be distilled. Qubit-based synchronization protocols directly use the...
Computing molecular excited states on a D-Wave quantum annealer
A. Teplukhin, B. Kendrick, S. Mniszewski +6 more·Jul 1, 2021
The possibility of using quantum computers for electronic structure calculations has opened up a promising avenue for computational chemistry. Towards this direction, numerous algorithmic advances have been made in the last five years. The potential ...
Unbiasing fermionic quantum Monte Carlo with a quantum computer
W. Huggins, B. O’Gorman, N. Rubin +3 more·Jun 30, 2021
Interacting many-electron problems pose some of the greatest computational challenges in science, with essential applications across many fields. The solutions to these problems will offer accurate predictions of chemical reactivity and kinetics, and...
Predicting quantum dynamical cost landscapes with deep learning
Mogens Dalgaard, F. Motzoi, J. Sherson·Jun 30, 2021
State-of-the-art quantum algorithms routinely tune dynamically parametrized cost functionals for combinatorics, machine learning, equation-solving, or energy minimization. However, large search complexity often demands many (noisy) quantum measuremen...
Quantum simulation of operator spreading in the chaotic Ising model.
M. Geller, A. Arrasmith, Zoe Holmes +3 more·Jun 30, 2021
There is great interest in using near-term quantum computers to simulate and study foundational problems in quantum mechanics and quantum information science, such as the scrambling measured by an out-of-time-ordered correlator (OTOC). Here we use an...
QuantumSkynet: A High-Dimensional Quantum Computing Simulator
Andres Giraldo-Carvajal, Daniel A. Duque-Ramirez, J. Jaramillo-Villegas·Jun 30, 2021
The use of classical computers to simulate quantum computing has been successful in aiding the study of quantum algorithms and circuits that are too complex to examine analytically. Current implementations of quantum computing simulators are limited ...
On Exploring the Potential of Quantum Auto-Encoder for Learning Quantum Systems
Yuxuan Du, D. Tao·Jun 29, 2021
The frequent interactions between quantum computing and machine learning revolutionize both fields. One prototypical achievement is the quantum auto-encoder (QAE), as the leading strategy to relieve the curse of dimensionality ubiquitous in the quant...
Strain induced coupling and quantum information processing with hexagonal boron nitride quantum emitters
Fatemeh Tarighitabesh, Q. Hassanzada, M. Hadian +3 more·Jun 29, 2021
We propose an electromechanical scheme where the electronic degrees of freedom of boron vacancy color centers hosted by a hexagonal boron nitride (hBN) nanoribbon are coupled for quantum information processing. The mutual coupling of color centers is...
Importance of Diagonal Gates in Tensor Network Simulations
Danylo Lykov, Y. Alexeev·Jun 29, 2021
In this work, we present two techniques that tremendously increase the performance of tensor-network based quantum circuit simulations. The techniques are implemented in the QTensor package and benchmarked using Quantum Approximate Optimization Algor...
Strong Quantum Computational Advantage Using a Superconducting Quantum Processor.
Yulin Wu, Wansu Bao, S. Cao +51 more·Jun 28, 2021
Scaling up to a large number of qubits with high-precision control is essential in the demonstrations of quantum computational advantage to exponentially outpace the classical hardware and algorithmic improvements. Here, we develop a two-dimensional ...
Fast quantum circuit simulation using hardware accelerated general purpose libraries
O. Oumarou, A. Paler, Robert Basmadjian·Jun 26, 2021
Quantum circuit simulators have a long tradition of exploiting massive hardware parallelism. Most of the times, parallelism has been supported by special purpose libraries tailored specifically for the quantum circuits. Quantum circuit simulators are...
Single-qubit universal classifier implemented on an ion-trap quantum device
T. Dutta, Adri'an P'erez-Salinas, Jasper Phua Sing Cheng +2 more·Jun 26, 2021
Quantum computers can provide solutions to classically intractable problems under specific and adequate conditions. However, current devices have only limited computational resources, and an effort is made to develop useful quantum algorithms under t...