Papers
Live trends in quantum computing research, updated daily from arXiv.
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27,881
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Research Volume
13,145 papers in 12 months (+1% vs prior quarter)
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Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A quantum convolutional neural network on NISQ devices
Shijie Wei, Yanhu Chen, Zeng-rong Zhou +1 more·Apr 14, 2021
Quantum machine learning is one of the most promising applications of quantum computing in the noisy intermediate-scale quantum (NISQ) era. We propose a quantum convolutional neural network(QCNN) inspired by convolutional neural networks (CNN), which...
Error rate reduction of single-qubit gates via noise-aware decomposition into native gates
Thomas J. Maldonado, Johannes Flick, Stefan Krastanov +1 more·Apr 14, 2021
In the current era of Noisy Intermediate-Scale Quantum (NISQ) technology, the practical use of quantum computers remains inhibited by our inability to aptly decouple qubits from their environment to mitigate computational errors. In this paper, we in...
Training Quantum Neural Networks on NISQ Devices
Kerstin Beer, D. List, Gabriel Muller +2 more·Apr 13, 2021
The advent of noisy intermediate-scale quantum (NISQ) devices offers crucial opportunities for the development of quantum algorithms. Here we evaluate the noise tolerance of two quantum neural network (QNN) architectures on IBM's NISQ devices, namely...
Ion–photonic frequency qubit correlations for quantum networks
S. Connell, J. Scarabel, E. Bridge +5 more·Apr 12, 2021
Efficiently scaling quantum networks to long ranges requires local processing nodes to perform basic computation and communication tasks. Trapped ions have demonstrated all the properties required for the construction of such a node, storing quantum ...
Reduced density matrix sampling: Self-consistent embedding and multiscale electronic structure on current generation quantum computers
J. Tilly, P. V. Sriluckshmy, Akashkumar Patel +6 more·Apr 12, 2021
We investigate fully self-consistent multiscale quantum-classical algorithms on current generation superconducting quantum computers, in a unified approach to tackle the correlated electronic structure of large systems in both quantum chemistry and co...
Application of quantum machine learning using the quantum kernel algorithm on high energy physics analysis at the LHC
S. Wu, Shaojun Sun, W. Guan +20 more·Apr 11, 2021
Quantum machine learning could possibly become a valuable alternative to classical machine learning for applications in High Energy Physics by offering computational speed-ups. In this study, we employ a support vector machine with a quantum kernel e...
Quantum Machine Learning for Power System Stability Assessment
Yifan Zhou, Peng Zhang·Apr 10, 2021
Transient stability assessment (TSA) is a cornerstone for resilient operations of today's interconnected power grids. This paper is a confluence of quantum computing, data science and machine learning to potentially address the power system TSA chall...
Fundamental thresholds of realistic quantum error correction circuits from classical spin models
D. Vodola, M. Rispler, Seyong Kim +1 more·Apr 10, 2021
Mapping the decoding of quantum error correcting (QEC) codes to classical disordered statistical mechanics models allows one to determine critical error thresholds of QEC codes under phenomenological noise models. Here, we extend this mapping to admi...
Estimation of correlations and nonseparability in quantum channels via unitarity benchmarking
Matthew Girling, Cristina Cîrstoiu, D. Jennings·Apr 9, 2021
The ability to transfer quantum information between systems is a fundamental component of quantum technologies and leads to correlations within the global quantum process. However correlation structures in quantum channels are less studied than those...
Rate compatible reconciliation for continuous-variable quantum key distribution using Raptor-like LDPC codes
Chao Zhou, Xiangyu Wang, Zhiguo Zhang +3 more·Apr 8, 2021
In the practical continuous-variable quantum key distribution (CV-QKD) system, the postprocessing process, particularly the error correction part, significantly impacts the system performance. Multi-edge type low-density parity-check (MET-LDPC) codes...
Spin Digitizer for High-Fidelity Readout of a Cavity-Coupled Silicon Triple Quantum Dot
F. Borjans, X. Mi, J. Petta·Apr 8, 2021
An important requirement for spin-based quantum information processing is reliable and fast readout of electron spin states, allowing for feedback and error correction. However, common readout techniques often require additional gate structures hinde...
Collective neutrino oscillations on a quantum computer
Kubra Yeter-Aydeniz, Shikha Bangar, G. Siopsis +1 more·Apr 7, 2021
We calculate the energy levels of a system of neutrinos undergoing collective oscillations as functions of an effective coupling strength and radial distance from the neutrino source using the quantum Lanczos (QLanczos) algorithm implemented on IBM Q...
Fault-Tolerant Quantum Computation with Static Linear Optics
I. Tzitrin, Takaya Matsuura, R. N. Alexander +5 more·Apr 7, 2021
The scalability of photonic implementations of fault-tolerant quantum computing based on Gottesman-Kitaev-Preskill (GKP) qubits is injured by the requirements of inline squeezing and reconfigurability of the linear optical network. In this work we pr...
A systematic variational approach to band theory in a quantum computer
Kyle Sherbert, F. Cerasoli, M. Buongiorno Nardelli·Apr 7, 2021
Quantum computers promise to revolutionize our ability to simulate molecules, and cloud-based hardware is becoming increasingly accessible to a wide body of researchers. Algorithms such as Quantum Phase Estimation and the Variational Quantum Eigensol...
Suppressing Coherent Two-Qubit Errors via Dynamical Decoupling
J. Qiu, Yuxuan Zhou, Changkang Hu +21 more·Apr 6, 2021
Scalable quantum information processing requires the ability to tune multi-qubit interactions. This makes the precise manipulation of quantum states particularly difficult for multi-qubit interactions because tunability unavoidably introduces sensiti...
Quantum Fourier analysis for multivariate functions and applications to a class of Schrödinger-type partial differential equations
Paula García-Molina, Javier Rodríguez-Mediavilla, J. García-Ripoll·Apr 6, 2021
In this work, we develop a highly efficient representation of functions and differential operators based on Fourier analysis. Using this representation, we create a variational hybrid quantum algorithm to solve static, Schrödinger-type, Hamiltonian p...
Intrinsic and induced quantum quenches for enhancing qubit-based quantum noise spectroscopy
Yu-Xin Wang, A. Clerk·Apr 5, 2021
Quantum sensing protocols that exploit the dephasing of a probe qubit are powerful and ubiquitous methods for interrogating an unknown environment. They have a variety of applications, ranging from noise mitigation in quantum processors, to the study...
Engineering the Quantum Scientific Computing Open User Testbed
S. Clark, Daniel S. Lobser, M. Revelle +13 more·Apr 1, 2021
The Quantum Scientific Computing Open User Testbed (QSCOUT) at Sandia National Laboratories is a trapped-ion qubit system designed to evaluate the potential of near-term quantum hardware in scientific computing applications for the U.S. Department of...
Fitting quantum noise models to tomography data
Emilio Onorati, T. Kohler, T. Cubitt·Mar 31, 2021
The presence of noise is currently one of the main obstacles to achieving large-scale quantum computation. Strategies to characterise and understand noise processes in quantum hardware are a critical part of mitigating it, especially as the overhead ...
Logical abstractions for noisy variational Quantum algorithm simulation
Yipeng Huang, Steven Holtzen, T. Millstein +2 more·Mar 31, 2021
Due to the unreliability and limited capacity of existing quantum computer prototypes, quantum circuit simulation continues to be a vital tool for validating next generation quantum computers and for studying variational quantum algorithms, which are...