Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
31,611
This Month
65
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0
Research Volume
15,669 papers in 12 months (-39% 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
Measurement Error Mitigation for Variational Quantum Algorithms
George S. Barron, C. J. Wood·Oct 16, 2020
Variational Quantum Algorithms (VQAs) are a promising application for near-term quantum processors, however the quality of their results is greatly limited by noise. For this reason, various error mitigation techniques have emerged to deal with noise...
Differentiable quantum architecture search
Shi-Xin Zhang, Chang-Yu Hsieh, Shengyu Zhang +1 more·Oct 16, 2020
Quantum architecture search (QAS) is the process of automating architecture engineering of quantum circuits. It has been desired to construct a powerful and general QAS platform which can significantly accelerate current efforts to identify quantum a...
High-fidelity method for a single-step N -bit Toffoli gate in trapped ions
J. D. Arias Espinoza, K. Groenland, M. Mazzanti +2 more·Oct 16, 2020
Conditional multi-qubit gates are a key component for elaborate quantum algorithms. In a recent work, Rasmussen et al. (Phys. Rev. A 101, 022308) proposed an efficient single-step method for a prototypical multi-qubit gate, a Toffoli gate, based on a...
QDLC - The Quantum Development Life Cycle
Nivedita Dey, Mrityunjay Ghosh, S. Kundu +1 more·Oct 15, 2020
The magnificence grandeur of quantum computing lies in the inherent nature of quantum particles to exhibit true parallelism, which can be realized by indubitably fascinating theories of quantum physics. The possibilities opened by quantum computation...
Observation of separated dynamics of charge and spin in the Fermi-Hubbard model
F. Arute, K. Arya, R. Babbush +96 more·Oct 15, 2020
Strongly correlated quantum systems give rise to many exotic physical phenomena, including high-temperature superconductivity. Simulating these systems on quantum computers may avoid the prohibitively high computational cost incurred in classical app...
A network-ready random-access qubits memory
S. Langenfeld, O. Morin, M. Körber +1 more·Oct 15, 2020
Photonic qubits memories are essential ingredients of numerous quantum networking protocols. The ideal situation features quantum computing nodes that are efficiently connected to quantum communication channels via quantum interfaces. The nodes conta...
Readout rebalancing for near-term quantum computers
Rebecca Hicks, C. Bauer, B. Nachman·Oct 15, 2020
Readout errors are a significant source of noise for near term intermediate scale quantum computers. Mismeasuring a qubit as a 1 when it should be 0 occurs much less often than mismeasuring a qubit as a 0 when it should have been 1. We make the simpl...
Computability of the Zero-Error Capacity of Noisy Channels
H. Boche, C. Deppe·Oct 14, 2020
Zero-error capacity plays an important role in a whole range of operational tasks, in addition to the fact that it is necessary for practical applications. Due to the importance of zero-error capacity, it is necessary to investigate its algorithmic c...
Quantum machine learning for particle physics using a variational quantum classifier
A. Blance, M. Spannowsky·Oct 14, 2020
Quantum machine learning aims to release the prowess of quantum computing to improve machine learning methods. By combining quantum computing methods with classical neural network techniques we aim to foster an increase of performance in solving clas...
A Novel Quantum Algorithm for Ant Colony Optimization
Mrityunjay Ghosh, Nivedita Dey, D. Mitra +1 more·Oct 14, 2020
Ant colony optimization is one of the potential solutions to tackle intractable NP-Hard discrete combinatorial optimization problems. The metaphor of ant colony can be thought of as the evolution of the best path from a given graph as a globally opti...
Quantum autoencoders with enhanced data encoding
Carlos Bravo-Prieto·Oct 13, 2020
We present the enhanced feature quantum autoencoder, or EF-QAE, a variational quantum algorithm capable of compressing quantum states of different models with higher fidelity. The key idea of the algorithm is to define a parameterized quantum circuit...
Tensor lattice field theory for renormalization and quantum computing
Y. Meurice, Ryo Sakai, J. Unmuth-Yockey·Oct 13, 2020
We discuss the successes and limitations of statistical sampling for a sequence of models studied in the context of lattice QCD and emphasize the need for new methods to deal with finite-density and real-time evolution. We show that these lattice mod...
Quantum simulation of oscillating neutrinos.
Abhishek Kumar Jha, A. Chatla, B. Bambah·Oct 13, 2020
Two and three flavor oscillating neutrinos are shown to exhibit the properties bipartite and tripartite quantum entanglement. The two and three flavor neutrinos are mapped to qubit states used in quantum information theory. Such quantum bits of the n...
Approximate Bacon-Shor code and holography
ChunJun Cao, Brad Lackey·Oct 12, 2020
We explicitly construct a class of holographic quantum error correction codes with non-trivial centers in the code subalgebra. Specifically, we use the Bacon-Shor codes and perfect tensors to construct a gauge code (or a stabilizer code with gauge-fi...
Iterative quantum-assisted eigensolver
Kishor Bharti, T. Haug·Oct 12, 2020
The task of estimating ground state and ground state energy of Hamiltonians is an important problem in physics with numerous applications ranging from solid-state physics to combinatorial optimization. We provide a hybrid quantum-classical algorithm ...
Using the Parameterized Quantum Circuit combined with Variational-Quantum-Eigensolver (VQE) to create an Intelligent social workers' schedule problem solver
Parfait Atchade-Adelomou, Elisabet Golobardes-Ribé, X. Vilasís-Cardona·Oct 12, 2020
The social worker scheduling problem is a class of combinatorial optimization problems that combines scheduling with routing issues. These types of problems with classical computing can only be solved, in the best of cases, in an approximate way and ...
Dynamical Self-energy Mapping (DSEM) for quantum computing.
Diksha Dhawan, Mekena Metcalf, D. Zgid·Oct 12, 2020
For noisy intermediate-scale quantum (NISQ) devices only a moderate number of qubits with a limited coherence is available thus enabling only shallow circuits and a few time evolution steps in the currently performed quantum computations. Here, we pr...
SchWARMA: A model-based approach for time-correlated noise in quantum circuits
Kevin M. Schultz, G. Quiroz, P. Titum +1 more·Oct 9, 2020
Temporal noise correlations are ubiquitous in quantum systems, yet often neglected in the analysis of quantum circuits due to the complexity required to accurately characterize and model them. Autoregressive moving average (ARMA) models are a well-kn...
Single-shot number-resolved detection of microwave photons with error mitigation
Jacob C. Curtis, Connor T. Hann, Salvatore S. Elder +4 more·Oct 9, 2020
Single-photon detectors are ubiquitous and integral components of photonic quantum cryptography, communication, and computation. Many applications, however, require not only detecting the presence of any photons, but distinguishing the number present...
Neural Group Actions
Span Spanbauer, Luke Sciarappa·Oct 8, 2020
We introduce an algorithm for designing Neural Group Actions, collections of deep neural network architectures which model symmetric transformations satisfying the laws of a given finite group. This generalizes involutive neural networks $\mathcal{N}...