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Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Error correction in quantum cryptography based on artificial neural networks
Marcin Niemiec·Oct 1, 2018
Intensive work on quantum computing has increased interest in quantum cryptography in recent years. Although this technique is characterized by a very high level of security, there are still challenges that limit the widespread use of quantum key dis...
Quantum error correction with the toric Gottesman-Kitaev-Preskill code
Christophe Vuillot, H. Asasi, Yang Wang +2 more·Sep 28, 2018
We examine the performance of the single-mode Gottesman-Kitaev-Preskill (GKP) code and its concatenation with the toric code for a noise model of Gaussian shifts, or displacement errors. We show how one can optimize the tracking of errors in repeated...
Granular aluminium as a superconducting material for high-impedance quantum circuits
L. Grünhaupt, M. Spiecker, D. Gusenkova +9 more·Sep 27, 2018
Superconducting quantum information processing machines are predominantly based on microwave circuits with relatively low characteristic impedance, about 100 Ω, and small anharmonicity, which can limit their coherence and logic gate fidelity1,2. A pr...
Probabilistic eigensolver with a trapped-ion quantum processor
Jingning Zhang, I. Arrazola, J. Casanova +3 more·Sep 27, 2018
Preparing the eigenstate, especially the ground state, of a complex Hamiltonian is of great importance in quantum simulations. Many proposals have been introduced and experimentally realized, among which are quantum variational eigensolver and heat-b...
Environmental effects in quantum annealing
T. Chasseur, S. Kehrein, F. Wilhelm·Sep 24, 2018
For quantum annealing, as opposed to circuit based quantum computing, the solution to a computational problem is encoded in the ground state of a quantum system. Therefore its susceptibility to environmental effects is a different but not less import...
High-speed Implementation of FFT-based Privacy Amplification on FPGA in Quantum Key Distribution.
Qiong Li, Bingze Yan, Haokun Mao +1 more·Sep 20, 2018
Privacy amplification (PA) is a vital procedure in quantum key distribution (QKD) to generate the secret key that the eavesdropper has only negligible information from the identical correcting key for the communicating parties. With the increase of r...
A hybrid universal blind quantum computation
Xiaoqian Zhang, Weiqi Luo, Guoqiang Zeng +4 more·Sep 17, 2018
Abstract In blind quantum computation (BQC), a client delegates her quantum computation to a server with universal quantum computers who learns nothing about the client’s private information. In measurement-based BQC model, entangled states are gener...
A controlled-NOT gate for frequency-bin qubits
Hsuan-Hao Lu, J. Lukens, B. Williams +4 more·Sep 13, 2018
The realization of strong photon–photon interactions has presented an enduring challenge across photonics, particularly in quantum computing, where two-photon gates form essential components for scalable quantum information processing (QIP). While li...
High-efficiency shallow-etched grating on GaAs membranes for quantum photonic applications
Xiaoyan Zhou, I. Kulkova, T. Lund-Hansen +3 more·Sep 10, 2018
We have designed and fabricated a shallow-etched grating on gallium arsenide nanomembranes for efficient chip-to-fiber coupling in quantum photonic integrated circuits. Experimental results show that the grating provides a fiber-coupling efficiency o...
Gate Teleportation-based Universal Blind Quantum Computation
Xiaoqian Zhang·Sep 1, 2018
Blind quantum computation (BQC) allows that a client who has limited quantum abilities can delegate quantum computation to a server who has advanced quantum technologies but learns nothing about the client's private information. For example, measurem...
Quantum optical neural networks
Gregory R. Steinbrecher, J. Olson, D. Englund +1 more·Aug 29, 2018
Physically motivated quantum algorithms for specific near-term quantum hardware will likely be the next frontier in quantum information science. Here, we show how many of the features of neural networks for machine learning can naturally be mapped in...
Nonlinear regression based on a hybrid quantum computer
Dan-Bo Zhang, Shi-Liang Zhu, Z. D. Wang·Aug 29, 2018
Incorporating nonlinearity into quantum machine learning is essential for learning a complicated input-output mapping. We here propose quantum algorithms for nonlinear regression, where nonlinearity is introduced with feature maps when loading classi...
On Quantum Chosen-Ciphertext Attacks and Learning with Errors
G. Alagic, S. Jeffery, M. Ozols +1 more·Aug 29, 2018
Large-scale quantum computing poses a major threat to classical public-key cryptography. Recently, strong “quantum access” security models have shown that numerous symmetric-key cryptosystems are also vulnerable. In this paper, we consider classical ...
Reinforcement learning for autonomous preparation of Floquet-engineered states: Inverting the quantum Kapitza oscillator
M. Bukov·Aug 27, 2018
I demonstrate the potential of reinforcement learning (RL) to prepare quantum states of strongly periodically driven non-linear single-particle models. The ability of Q-Learning to control systems far away from equilibrium is exhibited by steering th...
Realizing quantum linear regression with auxiliary qumodes
Dan-Bo Zhang, Z. Xue, Shi-Liang Zhu +1 more·Aug 27, 2018
In order to exploit quantum advantages, quantum algorithms are indispensable for operating machine learning with quantum computers. We here propose an intriguing hybrid approach of quantum information processing for quantum linear regression, which u...
Superconducting circuit quantum computing with nanomechanical resonators as storage
M. Pechal, Patricio Arrangoiz-Arriola, A. Safavi-Naeini·Aug 24, 2018
We analyze the quantum information processing capability of a superconducting transmon circuit used to mediate interactions between quantum information stored in a collection of phononic crystal cavity resonators. Having only a single processing elem...
Unitary entanglement construction in hierarchical networks.
A. Bapat, Zachary Eldredge, J. Garrison +3 more·Aug 23, 2018
The construction of large-scale quantum computers will require modular architectures that allow physical resources to be localized in easy-to-manage packages. In this work we examine the impact of different graph structures on the preparation of enta...
Large-scale silicon quantum photonics implementing arbitrary two-qubit processing
X. Qiang, Xiaoqi Zhou, Jianwei Wang +11 more·Aug 20, 2018
Photonics is a promising platform for implementing universal quantum information processing. Its main challenges include precise control of massive circuits of linear optical components and effective implementation of entangling operations on photons...
Nonsignaling causal hierarchy of general multisource networks
M. Luo·Aug 20, 2018
Large-scale multisource networks have been employed to overcome the practical constraints that entangled systems are difficult to faithfully transmit over large distance or store in long time. However, a full characterization of the multipartite nonl...
Locality and Digital Quantum Simulation of Power-Law Interactions
Minh C. Tran, Andrew Y. Guo, Yuan Su +5 more·Aug 15, 2018
The propagation of information in nonrelativistic quantum systems obeys a speed limit known as a Lieb-Robinson bound. We derive a new Lieb-Robinson bound for systems with interactions that decay with distance r as a power law, 1/rα. The bound implies...