Papers
Live trends in quantum computing research, updated daily from arXiv.
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31,204
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15,359 papers in 12 months (-8% 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
Classical half-adder using trapped-ion quantum bits: Toward energy-efficient computation
Sagar Silva Pratapsi, P. Huber, Patrick Barthel +3 more·Oct 19, 2022
Reversible computation has been proposed as a future paradigm for energy efficient computation, but so far few implementations have been realized in practice. Quantum circuits, running on quantum computers, are one construct known to be reversible. I...
Non-Abelian braiding of graph vertices in a superconducting processor
T. Andersen, Y. Lensky, K. Kechedzhi +166 more·Oct 19, 2022
A unitary protocol for braiding projective non-Abelian Ising anyons in a generalized stabilizer code is implemented on a superconducting processor, allowing for verification of their fusion rules and realization of their exchange statistics. Indistin...
Accelerating the Assembly of Defect-Free Atomic Arrays with Maximum Parallelisms
Shuai Wang, WenJun Zhang, Zhang Tao +4 more·Oct 19, 2022
Defect-free atomic arrays have been demonstrated as a scalable and fully-controllable platform for quantum simulations and quantum computations. To push the qubit size limit of this platform further, we design an integrated measurement and feedback s...
A quantum analytical Adam descent through parameter shift rule using Qibo
Matteo Robbiati, Stavros Efthymiou, Andrea Pasquale +1 more·Oct 19, 2022
In this proceedings we present quantum machine learning optimization experiments using stochastic gradient descent with the parameter shift rule algorithm. We first describe the gradient evaluation algorithm and its optimization procedure implemented...
Extending Graph Transformers with Quantum Computed Aggregation
Slimane Thabet, Romain Fouilland, L. Henriet·Oct 19, 2022
Recently, efforts have been made in the community to design new Graph Neural Networks (GNN), as limitations of Message Passing Neural Networks became more apparent. This led to the appearance of Graph Transformers using global graph features such as ...
Decoding Polar Codes via Noisy Quantum Gates: Quantum Circuits and Insights
Srikar Kasi, John Kaewell, Shahab Hamidi-Rad +1 more·Oct 19, 2022
The use of quantum computation for wireless network applications is emerging as a promising paradigm to bridge the performance gap between in-practice and optimal wireless algorithms. While today's quantum technology offers limited number of qubits a...
Agile Practices for Quantum Software Development: Practitioners’ Perspectives
A. Khan, M. Akbar, Aakash Ahmad +5 more·Oct 18, 2022
Quantum software engineering is an emerging genre of software engineering that exploit principles of quantum bits (Qubit) and quantum gates (Qgates) to solve complex computing problems effeciently than their classical counterparts. According to its p...
Quantum Machine Learning using the ZXW-Calculus
Mark Koch·Oct 18, 2022
The field of quantum machine learning (QML) explores how quantum computers can be used to more efficiently solve machine learning problems. As an application of hybrid quantum-classical algorithms, it promises a potential quantum advantages in the ne...
Certifying quantum separability with adaptive polytopes
Ties-A. Ohst, Xiao-Dong Yu, O. Gühne +1 more·Oct 18, 2022
The concept of entanglement and separability of quantum states is relevant for several fields in physics. Still, there is a lack of effective operational methods to characterise these features. We propose a method to certify quantum separability of t...
Digital Discovery of 100 diverse Quantum Experiments with PyTheus
Carlos Ruiz-Gonzalez, Sören Arlt, J. Petermann +6 more·Oct 18, 2022
Photons are the physical system of choice for performing experimental tests of the foundations of quantum mechanics. Furthermore, photonic quantum technology is a main player in the second quantum revolution, promising the development of better senso...
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications
Hankyul Baek, Won Joon Yun, Joongheon Kim·Oct 18, 2022
With the beginning of the noisy intermediate-scale quantum (NISQ) era, a quantum neural network (QNN) has recently emerged as a solution for several specific problems that classical neural networks cannot solve. Moreover, a quantum convolutional neur...
Emulating multiparticle emitters with pair-sources: digital discovery of a quantum optics building block
Sören Arlt, Carlos Ruiz-Gonzalez, Mario Krenn·Oct 18, 2022
Linear quantum optics is advancing quickly, driven by sources of correlated photon pairs. Multi-photon sources beyond pairs would be a powerful resource, but are a difficult technology to implement. We have discovered a way in which we can combine mu...
Ancilla-driven blind quantum computation for clients with different quantum capabilities
Qunfeng Dai, Junyu Quan, X. Lou +1 more·Oct 18, 2022
Blind quantum computation (BQC) allows a client with limited quantum power to delegate his quantum computational task to a powerful server and still keep his input, output, and algorithm private. There are mainly two kinds of models about BQC, namely...
Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones
Elijah Pelofske, Andreas Bärtschi, S. Eidenbenz·Oct 18, 2022
Although perfect copying of an unknown quantum state is not possible, approximate cloning is possible in quantum mechanics. Quantum telecloning is a variant of approximate quantum cloning which uses quantum teleportation to allow for the use of class...
Verifiable blind quantum computation with identity authentication for different types of clients
Junyu Quan, Qin Li, Lvzhou Li·Oct 18, 2022
Quantum computing has considerable advantages in solving some problems over its classical counterpart. Currently various physical systems are developed to construct quantum computers but it is still challenging and the first use of quantum computers ...
Two convergent NPA-like hierarchies for the quantum bilocal scenario
Marc-Olivier Renou, Xiangling Xu, Laurens T. Ligthart·Oct 17, 2022
Characterising the correlations that arise from locally measuring a single part of a joint quantum system is one of the main problems of quantum information theory. The seminal work [M. Navascués et al., New J. Phys. 10, 073013 (2008)], known as the ...
The power of one clean qubit in supervised machine learning
M. Karimi, Ali Javadi-Abhari, C. Simon +1 more·Oct 17, 2022
This paper explores the potential benefits of quantum coherence and quantum discord in the non-universal quantum computing model called deterministic quantum computing with one qubit (DQC1) in supervised machine learning. We show that the DQC1 model ...
Non-Hermitian ground-state-searching algorithm enhanced by a variational toolbox
Yu-Qin Chen, Shi-Xin Zhang, Chang-Yu Hsieh +1 more·Oct 17, 2022
Ground-state preparation for a given Hamiltonian is a common quantum-computing task of great importance and has relevant applications in quantum chemistry, computational material modeling, and combinatorial optimization. We consider an approach to si...
Escaping barren plateaus in approximate quantum compiling
Niall F. Robertson, A. Akhriev, J. Vala +1 more·Oct 17, 2022
Quantum compilation provides a method to translate quantum algorithms at a high level of abstraction into their implementations as quantum circuits on real hardware. One approach to quantum compiling is to design a parameterised circuit and to use te...
OpenQAOA -- An SDK for QAOA
Vishal Sharma, Nur Shahidee Bin Saharan, S. Chiew +4 more·Oct 17, 2022
We introduce OpenQAOA, a Python open-source multi-backend Software Development Kit to create, customise, and execute the Quantum Approximate Optimisation Algorithm (QAOA) on Noisy Intermediate-Scale Quantum (NISQ) devices and simulators. OpenQAOA fac...