Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,522 papers in 12 months (-19% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Estimation of the geometric measure of entanglement with Wehrl moments through artificial neural networks
J'erome Denis, F. Damanet, John Martin·May 30, 2022
In recent years, artificial neural networks (ANNs) have become an increasingly popular tool for studying problems in quantum theory, and in particular entanglement theory. In this work, we analyse to what extent ANNs can accurately predict the geomet...
Quantum Optimal Control via Semi-Automatic Differentiation
M. H. Goerz, S. Carrasco, V. Malinovsky·May 27, 2022
We develop a framework of "semi-automatic differentiation" that combines existing gradient-based methods of quantum optimal control with automatic differentiation. The approach allows to optimize practically any computable functional and is implement...
Interleaved Prange: A New Generic Decoder for Interleaved Codes
Anmoal Porwal, Lukas Holzbaur, Hedongliang Liu +3 more·May 27, 2022
Due to the recent challenges in post-quantum cryptography, several new approaches for code-based cryptography have been proposed. For example, a variant of the McEliece cryptosystem based on interleaved codes was proposed. In order to deem such new s...
On-chip spin-photon entanglement based on photon-scattering of a quantum dot
M. L. Chan, Alexey Tiranov, M. H. Appel +7 more·May 25, 2022
The realization of on-chip quantum interfaces between flying photons and solid-state spins is a key building block for quantum-information processors, enabling, e.g., distributed quantum computing, where remote quantum registers are interconnected by...
Sample-efficient verification of continuously-parameterized quantum gates for small quantum processors
Ryan E Shaffer, Hang Ren, Emiliia Dyrenkova +7 more·May 25, 2022
Most near-term quantum information processing devices will not be capable of implementing quantum error correction and the associated logical quantum gate set. Instead, quantum circuits will be implemented directly using the physical native gate set ...
Proposal for low-power atom trapping on a GaN-on-sapphire chip
Aiping Liu, Lei Xu, Xin-Biao Xu +6 more·May 24, 2022
The hybrid photon-atom integrated circuits, which include photonic microcavities and trapped single neutral atom in their evanescent field, are of great potential for quantum information processing. In this platform, the atoms provide the single-photo...
Optimal two-qubit gates in recurrence protocols of entanglement purification
Francesco Preti, T. Calarco, J. M. Torres +1 more·May 24, 2022
We propose and investigate a method to optimize recurrence entanglement purification protocols. The approach is based on a numerical search in the whole set of SU(4) matrices with the aid of a quasi-Newton algorithm. Our method evaluates average conc...
Watermarking PRFs against Quantum Adversaries
Fuyuki Kitagawa, R. Nishimaki·May 23, 2022
We initiate the study of software watermarking against quantum adversaries. A quantum adversary generates a quantum state as a pirate software that potentially removes an embedded message from a classical marked software. Extracting an embedded messa...
Quantum variational learning for entanglement witnessing
Francesco Scala, Stefano Mangini, C. Macchiavello +2 more·May 20, 2022
Several proposals have been recently introduced to implement Quantum Machine Learning (QML) algorithms for the analysis of classical data sets employing variational learning means. There has been, however, a limited amount of work on the characteriza...
Estimating the randomness of quantum circuit ensembles up to 50 qubits
Minzhao Liu, Junyu Liu, Y. Alexeev +1 more·May 19, 2022
Random quantum circuits have been utilized in the contexts of quantum supremacy demonstrations, variational quantum algorithms for chemistry and machine learning, and blackhole information. The ability of random circuits to approximate any random uni...
Quantum neural networks
Kerstin Beer·May 17, 2022
This PhD thesis combines two of the most exciting research areas of the last decades: quantum computing and machine learning. We introduce dissipative quantum neural networks (DQNNs), which are designed for fully quantum learning tasks, are capable o...
Multi-state Swap Test Algorithm
Wen Liu, Han-Wen Yin, Zhirao Wang +1 more·May 15, 2022
. Estimating the overlap between two states is an important task with several applications in quantum information. However, the typical swap test circuit can only measure a sole pair of quantum states at a time. In this study we designed a recursive ...
Entanglement and quantum correlation measures for quantum multipartite mixed states
Arthur Vesperini, Ghofrane Bel-Hadj-Aissa, R. Franzosi·May 14, 2022
Entanglement, and quantum correlation, are precious resources for quantum technologies implementation based on quantum information science, such as quantum communication, quantum computing, and quantum interferometry. Nevertheless, to our best knowle...
Scheduling Quantum Teleportation with Noisy Memories
Aparimit Chandra, W. Dai, D. Towsley·May 12, 2022
Quantum teleportation channels can overcome the effects of photonic loss, a major challenge in the implementation of a quantum network over fiber. Teleportation channels are created by distributing an entangled state between two nodes, which is a pro...
Retrodictive Quantum Computing
J. Carette, G. Ortiz, A. Sabry·May 12, 2022
Quantum models of computation are widely believed to be more powerful than classical ones. Efforts center on proving that, for a given problem, quantum algorithms are more resource efficient than any classical one. All this, however, assumes a standa...
Fundamental limitations on optimization in variational quantum algorithms
Hao-Kai Zhang, Chengkai Zhu, Geng-yang Liu +1 more·May 10, 2022
Exploring quantum applications of near-term quantum devices is a rapidly growing field of quantum information science with both theoretical and practical interests. A leading paradigm to establish such near-term quantum applications is variational qu...
Demonstration of Tunable Three-Body Interactions between Superconducting Qubits.
Tim Menke, W. Banner, Thomas R. Bergamaschi +16 more·May 9, 2022
Nonpairwise multiqubit interactions present a useful resource for quantum information processors. Their implementation would facilitate more efficient quantum simulations of molecules and combinatorial optimization problems, and they could simplify e...
Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks
Artyom Nikitin, A. Chertkov, R. Ballester-Ripoll +2 more·May 9, 2022
Collaborative filtering models generally perform better than content-based filtering models and do not require careful feature engineering. However, in the cold-start scenario collaborative information may be scarce or even unavailable, whereas the c...
Incremental Data-Uploading for Full-Quantum Classification
Maniraman Periyasamy, Nico Meyer, Christian Ufrecht +3 more·May 6, 2022
The data representation in a machine-learning model strongly influences its performance. This becomes even more important for quantum machine learning models implemented on noisy intermediate scale quantum (NISQ) devices. Encoding high dimensional da...
Tunable directional photon scattering from a pair of superconducting qubits
E. Redchenko, A. Poshakinskiy, R. Sett +3 more·May 6, 2022
The ability to control the direction of scattered light is crucial to provide flexibility and scalability for a wide range of on-chip applications, such as integrated photonics, quantum information processing, and nonlinear optics. Tunable directiona...