Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Single-Photon Emission from Individual Nanophotonic-Integrated Colloidal Quantum Dots
A. Eich, T. C. Spiekermann, H. Gehring +8 more·Apr 23, 2021
Solution processible colloidal quantum dots hold great promise for realizing single-photon sources embedded into scalable quantum technology platforms. However, the high-yield integration of large numbers of individually addressable colloidal quantum...
Low Rank Approximation in Simulations of Quantum Algorithms
Linjian Ma, Chao Yang·Apr 23, 2021
Simulating quantum algorithms on classical computers is challenging when the system size, i.e., the number of qubits used in the quantum algorithm, is moderately large. However, some quantum algorithms and the corresponding quantum circuits can be si...
Model Checking for Verification of Quantum Circuits
M. Ying·Apr 23, 2021
In this talk, we will describe a framework for assertion-based verification (ABV) of quantum circuits by applying model checking techniques for quantum systems developed in our previous work, in which: (i) Noiseless and noisy quantum circuits are mod...
Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits at Exascale
Thien Nguyen, Dmitry I. Lyakh, E. Dumitrescu +3 more·Apr 21, 2021
The numerical simulation of quantum circuits is an indispensable tool for development, verification, and validation of hybrid quantum-classical algorithms intended for near-term quantum co-processors. The emergence of exascale high-performance comput...
Fault-tolerant resource estimate for quantum chemical simulations: Case study on Li-ion battery electrolyte molecules
Isaac H. Kim, Ye-Hua Liu, Sam Pallister +3 more·Apr 21, 2021
We estimate the resources required in the fusion-based quantum computing scheme to simulate electrolyte molecules in Li-ion batteries on a fault-tolerant, photonic quantum computer. We focus on the molecules that can provide practical solutions to in...
Quantum variational approach to lattice gauge theory at nonzero density
A. Yamamoto·Apr 21, 2021
The simulation of dense fermionic matters is a long-standing problem in lattice gauge theory. One hopeful solution would be the use of quantum computers. In this paper, digital quantum simulation is designed for lattice gauge theory at nonzero densit...
Doubling the Size of Quantum Simulators by Entanglement Forging
A. Eddins, M. Motta, Tanvi P. Gujarati +4 more·Apr 20, 2021
Quantum computers are promising for simulations of chemical and physical systems, but the limited capabilities of today's quantum processors permit only small, and often approximate, simulations. Here we present a method, classical entanglement forgi...
Prospects for simulating a qudit-based model of (1+1)D scalar QED
Erik J. Gustafson·Apr 20, 2021
We present a gauge invariant digitization of $(1+1)$d scalar quantum electrodynamics for an arbitrary spin truncation for qudit-based quantum computers. We provide a construction of the Trotter operator in terms of a universal qudit-gate set. The cos...
Practical Quantum Error Correction with the XZZX Code and Kerr-Cat Qubits
A. Darmawan, Benjamin J. Brown, A. Grimsmo +2 more·Apr 19, 2021
The development of robust architectures capable of large-scale fault-tolerant quantum computation should consider both their quantum error-correcting codes and the underlying physical qubits upon which they are built, in tandem. Following this design...
Valley splittings in Si/SiGe quantum dots with a germanium spike in the silicon well
T. McJunkin, E. MacQuarrie, L. Tom +11 more·Apr 16, 2021
Silicon-germanium heterostructures have successfully hosted quantum dot qubits, but the intrinsic near-degeneracy of the two lowest valley states poses an obstacle to high fidelity quantum computing. We present a modification to the Si/SiGe heterostr...
One decade of quantum optimal control in the chopped random basis
Matthias M. Müller, R. Said, F. Jelezko +2 more·Apr 15, 2021
The chopped random basis (CRAB) ansatz for quantum optimal control has been proven to be a versatile tool to enable quantum technology applications such as quantum computing, quantum simulation, quantum sensing, and quantum communication. Its capabil...
Improved Weak Simulation of Universal Quantum Circuits by Correlated $L_1$ Sampling
L. Kocia·Apr 15, 2021
Bounding the cost of classically simulating the outcomes of universal quantum circuits to additive error δ is often called weak simulation and is a direct way to determine when they confer a quantum advantage. Weak simulation of the T+Clifford gatese...
Higgs analysis with quantum classifiers
Vasilis Belis, Samuel Gonz'alez-Castillo, C. Reissel +4 more·Apr 15, 2021
We have developed two quantum classifier models for the ttH classification problem, both of which fall into the category of hybrid quantumclassical algorithms for Noisy Intermediate Scale Quantum devices (NISQ). Our results, along with other studies,...
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...
A Quantum Circuit Obfuscation Methodology for Security and Privacy
A. Suresh, Abdullah Ash-Saki, M. Alam +2 more·Apr 13, 2021
Optimization of quantum circuits using an efficient compiler is key to its success for NISQ computers. Several 3rd party compilers are evolving to offer improved performance for large quantum circuits. These 3rd parties, or just a certain release of ...
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...
A quantum strategy to compute the jet quenching parameter q^\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat{q}$$\
J. Barata, C. Salgado·Apr 10, 2021
Jet quenching, the modification of the properties of a QCD jet when the parton cascade takes place inside a medium, is an intrinsically quantum process, where color coherence effects play an essential role. Despite a very significant progress in the ...
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...
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...
GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm
D. Willsch, M. Willsch, F. Jin +2 more·Apr 7, 2021
We study large-scale applications using a GPU-accelerated version of the massively parallel J\"ulich universal quantum computer simulator (JUQCS--G). First, we benchmark JUWELS Booster, a GPU cluster with 3744 NVIDIA A100 Tensor Core GPUs. Then, we u...