Papers
Live trends in quantum computing research, updated daily from arXiv.
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15,685 papers in 12 months (-39% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
The quantum annealing gap and quench dynamics in the exact cover problem
Bernhard Irsigler, T. Grass·Jun 15, 2021
Quenching and annealing are extreme opposites in the time evolution of a quantum system: Annealing explores equilibrium phases of a Hamiltonian with slowly changing parameters and can be exploited as a tool for solving complex optimization problems. ...
Towards quantum 3D imaging devices
C. Abbattista, L. Amoruso, Samuel Burri +23 more·Jun 15, 2021
We introduce a new generation of 3D imaging devices based on quantum plenoptic imaging. Position-momentum entanglement and photon number correlations are exploited to provide a scan-free 3D image after post-processing of the collected light intensity...
Quantum algorithms based on the block-encoding framework for matrix functions by contour integrals
S. Takahira, A. Ohashi, T. Sogabe +1 more·Jun 15, 2021
he matrix functions can be defined by Cauchy's integral formula and can be approximated by the linear combination of inverses of shifted matrices using a quadrature formula. In this paper, we propose a quantum algorithm for matrix functions based on ...
Reconfigurable continuously-coupled 3D photonic circuit for Boson Sampling experiments
Francesco Hoch, S. Piacentini, Taira Giordani +10 more·Jun 15, 2021
Boson Sampling is a computational paradigm representing one of the most viable and pursued approaches to demonstrate the regime of quantum advantage. Recent results have shown significant technological leaps in single-photon generation and detection,...
Trellis Decoding for Qudit Stabilizer Codes and Its Application to Qubit Topological Codes
Eric Sabo, Arun B. Aloshious, K. Brown·Jun 15, 2021
Trellis decoders are a general decoding technique first applied to qubit-based quantum error correction codes by Ollivier and Tillich in 2006. Here, we improve the scalability and practicality of their theory, show that it has strong structure, exten...
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States
Jack Y. Araz, M. Spannowsky·Jun 15, 2021
Tensor Networks are non-trivial representations of high-dimensional tensors, originally designed to describe quantum many-body systems. We show that Tensor Networks are ideal vehicles to connect quantum mechanical concepts to machine learning techniq...
Quantum diffusion map for nonlinear dimensionality reduction
Apimuk Sornsaeng, Ninnat Dangniam, Pantita Palittapongarnpim +1 more·Jun 14, 2021
Inspired by random walk on graphs, diffusion map (DM) is a class of unsupervised machine learning that offers automatic identification of low-dimensional data structure hidden in a high-dimensional dataset. In recent years, among its many application...
Transferability of optimal QAOA parameters between random graphs
A. Galda, Xiaoyuan Liu, Danylo Lykov +2 more·Jun 14, 2021
The Quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization. In a typical QAOA setup, a set of quantum circuit parameters is optimiz...
Slowing quantum decoherence of oscillators by hybrid processing
Kimin Park, Jacob Hastrup, Jonas S Neergaard-Nielsen +3 more·Jun 14, 2021
Quantum information encoded into the superposition of coherent states is an illustrative representation of practical applications of macroscopic quantum coherence possessing. However, these states are very sensitive to energy loss, losing their non-c...
Classical and Quantum Algorithms for Orthogonal Neural Networks
Iordanis Kerenidis, Jonas Landman, Natansh Mathur·Jun 14, 2021
Orthogonal neural networks have recently been introduced as a new type of neural networks imposing orthogonality on the weight matrices. They could achieve higher accuracy and avoid evanescent or explosive gradients for deep architectures. Several cl...
Universal hardware-efficient topological measurement-based quantum computation via color-code-based cluster states
Seok-Hyung Lee, Hyunseok Jeong·Jun 14, 2021
Topological measurement-based quantum computation (MBQC) enables one to carry out universal fault-tolerant quantum computation via single-qubit Pauli measurements with a family of large entangled states called cluster states as resources. Raussendorf...
Variational quantum eigensolver with reduced circuit complexity
Yu Zhang, L. Cincio, C. Negre +6 more·Jun 14, 2021
The variational quantum eigensolver (VQE) is one of the most promising algorithms to find eigenstates of a given Hamiltonian on noisy intermediate-scale quantum devices (NISQ). The practical realization is limited by the complexity of quantum circuit...
Trapped Ion Quantum Computing Using Optical Tweezers and Electric Fields.
M. Mazzanti, R. Schüssler, J. D. Arias Espinoza +3 more·Jun 14, 2021
We propose a new scalable architecture for trapped ion quantum computing that combines optical tweezers delivering qubit state-dependent local potentials with oscillating electric fields. Since the electric field allows for long-range qubit-qubit int...
A scalable helium gas cooling system for trapped-ion applications
F. R. Lebrun-Gallagher, N. Johnson, M. Akhtar +6 more·Jun 14, 2021
Microfabricated ion-trap devices offer a promising pathway towards scalable quantum computing. Research efforts have begun to focus on the engineering challenges associated with developing large-scale ion-trap arrays and networks. However, increasing...
Improved upper bounds on the stabilizer rank of magic states
Hammam Qassim, Hakop Pashayan, David Gosset·Jun 14, 2021
<jats:p>In this work we improve the runtime of recent classical algorithms for strong simulation of quantum circuits composed of Clifford and T gates. The improvement is obtained by establishing a new upper bound on the stabilizer rank of <mml:math x...
qprof: A gprof-Inspired Quantum Profiler
Adrien Suau, G. Staffelbach, A. Todri-Sanial·Jun 14, 2021
We introduce qprof, a new and extensible quantum program profiler able to generate profiling reports of quantum circuits written using various quantum computing frameworks. We describe the internal structure and working of qprof and provide practical...
Variational Quanvolutional Neural Networks with enhanced image encoding
Denny Mattern, Darya Martyniuk, Henri Willems +2 more·Jun 14, 2021
Image classification is an important task in various machine learning applications. In recent years, a number of classification methods based on quantum machine learning and different quantum image encoding techniques have been proposed. In this pape...
Superconducting quantum computer: a hint for building architectures
Y. Tabuchi, S. Tamate, S. Yorozu·Jun 13, 2021
We discuss the scalability of superconducting quantum computers, especially in a wiring problem. The number of wiring inside a cryostat is almost proportional to the number of qubits in the current wiring architecture. We introduce "The three-Y's": r...
Inclusive learning for quantum computing: supporting the aims of quantum literacy using the puzzle game Quantum Odyssey
Laurentiu Nita, N. Chancellor, L. M. Smith +2 more·Jun 13, 2021
With a vast domain of applications and now having quantum computing hardware available for commercial use, an education challenge arises in getting people of various background to become quantum literate. Quantum Odyssey is a new piece of computer so...
Quantum cluster algorithm for data classification
Junxu Li, S. Kais·Jun 13, 2021
We present a quantum algorithm for data classification based on the nearest-neighbor learning algorithm. The classification algorithm is divided into two steps: Firstly, data in the same class is divided into smaller groups with sublabels assisting b...