Papers
Live trends in quantum computing research, updated daily from arXiv.
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15,673 papers in 12 months (-39% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Realizing topologically ordered states on a quantum processor
K. Satzinger, Y. Liu, A. Smith +95 more·Apr 2, 2021
Description Synthesizing topological order Topologically ordered matter exhibits long-range quantum entanglement. However, measuring this entanglement in real materials is extremely tricky. Now, two groups take a different approach and turn to synthe...
Unitarization Through Approximate Basis
Joshua Cook·Apr 1, 2021
We introduce the problem of unitarization. Unitarization is the problem of taking $k$ input quantum circuits that produce orthogonal states from the all $0$ state, and create an output circuit implementing a unitary with its first $k$ columns as thos...
Flow conditions for continuous variable measurement-based quantum computing
Robert I. Booth, D. Markham·Apr 1, 2021
In measurement-based quantum computing (MBQC), computation is carried out by a sequence of measurements and corrections on an entangled state. Flow, and related concepts, are powerful techniques for characterising the dependence of the corrections on...
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...
A model of spinfoam coupled with an environment
Quentin Ansel·Apr 1, 2021
In this paper, an open quantum system theory for spinfoams is developed. This new formalism aims at deriving an effective Lindblad equation to compute the reduced dynamics of a quantum gravitational field. The system parameters are determined from nu...
Learning to Measure: Adaptive Informationally Complete Generalized Measurements for Quantum Algorithms
Guillermo García-Pérez, M. Rossi, Boris Sokolov +5 more·Apr 1, 2021
Many prominent quantum computing algorithms with applications in fields such as chemistry and materials science require a large number of measurements, which represents an important roadblock for future real-world use cases. We introduce a novel appr...
Fixed Depth Hamiltonian Simulation via Cartan Decomposition.
Efekan Kökcü, Thomas Steckmann, Yan Wang +3 more·Apr 1, 2021
Simulating quantum dynamics on classical computers is challenging for large systems due to the significant memory requirements. Simulation on quantum computers is a promising alternative, but fully optimizing quantum circuits to minimize limited quan...
Superconducting V3Si for quantum circuit applications
T. Vethaak, F. Gustavo, T. Farjot +5 more·Apr 1, 2021
Abstract V3Si thin films are known to be superconducting with transition temperatures up to 15 K, depending on the annealing temperature and the properties of the substrate underneath. Here we investigate the film structural properties with the prosp...
Randomized Algorithms for Scientific Computing (RASC)
A. Buluç, T. Kolda, Stefan M. Wild +16 more·Apr 1, 2021
Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science. Future advancements in DOE Office of Science priority areas such as climate science, astrophysics, fusion...
Quantum case-based reasoning (qCBR)
Parfait Atchade Adelomou, Daniel Casado Fauli, Elisabet Golobardes Ribé +1 more·Apr 1, 2021
Case-Based Reasoning (CBR) is an artificial intelligence approach to problem-solving with a good record of success. This article proposes using Quantum Computing to improve some of the key processes of CBR, such that a quantum case-based reasoning (q...
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...
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 ...
Classically Optimal Variational Quantum Algorithms
J. Wurtz, P. Love·Mar 31, 2021
Hybrid quantum-classical algorithms, such as variational quantum algorithms (VQAs), are suitable for implementation on noisy intermediate-scale quantum computers. In this article, we expand an implicit step of VQAs: the classical precomputation subro...
QBugs: A Collection of Reproducible Bugs in Quantum Algorithms and a Supporting Infrastructure to Enable Controlled Quantum Software Testing and Debugging Experiments
José Campos, André Souto·Mar 31, 2021
Reproducibility and comparability of empirical results are at the core tenet of the scientific method in any scientific field. To ease reproducibility of empirical studies, several benchmarks in software engineering research, such as Defects4J, have ...
QPack: Quantum Approximate Optimization Algorithms as universal benchmark for quantum computers
Koen J. Mesman, Z. Al-Ars, M. Moller·Mar 31, 2021
In this paper, we present QPack, a universal benchmark for Noisy Intermediate-Scale Quantum (NISQ) computers based on Quantum Approximate Optimization Algorithms (QAOA). Unlike other evaluation metrics in the field, this benchmark evaluates not only ...
Variational quantum algorithm with information sharing
C. Self, K. Khosla, Alistair W. R. Smith +5 more·Mar 30, 2021
We introduce an optimisation method for variational quantum algorithms and experimentally demonstrate a 100-fold improvement in efficiency compared to naive implementations. The effectiveness of our approach is shown by obtaining multi-dimensional en...
Reinforcement learning for optimization of variational quantum circuit architectures
M. Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk +2 more·Mar 30, 2021
The study of Variational Quantum Eigensolvers (VQEs) has been in the spotlight in recent times as they may lead to real-world applications of near-term quantum devices. However, their performance depends on the structure of the used variational ansat...
Computing Shor’s algorithmic steps with interference patterns of classical light
Wen Wang, Ziyang You, Shuangpeng Wang +2 more·Mar 30, 2021
When considered as orthogonal bases in distinct vector spaces, the unit vectors of polarization directions and the Laguerre–Gaussian modes of polarization amplitude are inseparable, constituting a so-called classical entangled light beam. Equating th...
Modelling Quantum Circuits with UML
Ricardo Pérez-Castillo, Luis Jiménez-Navajas, M. Piattini·Mar 30, 2021
None of the quantum computing applications imagined will ever become a reality without quantum software. Quantum programmes have, to date, been coded with ad hoc techniques. Researchers in the field of quantum software engineering are, therefore, now...
Composably secure data processing for Gaussian-modulated continuous-variable quantum key distribution
Alexander G. Mountogiannakis, Panagiotis Papanastasiou, B. Braverman +1 more·Mar 30, 2021
Continuous-variable (CV) quantum key distribution (QKD) employs the quadratures of a bosonic mode to establish a secret key between two remote parties, and this is usually achieved via a Gaussian modulation of coherent states. The resulting secret ke...