Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Self-verifying variational quantum simulation of lattice models
C. Kokail, C. Maier, R. van Bijnen +8 more·Oct 8, 2018
Hybrid classical–quantum algorithms aim to variationally solve optimization problems using a feedback loop between a classical computer and a quantum co-processor, while benefiting from quantum resources. Here we present experiments that demonstrate ...
Wavelength assignment in quantum access networks with hybrid wireless-fiber links
S. Bahrani, Osama Elmabrok, Guillermo Curr'as-Lorenzo +1 more·Oct 3, 2018
We propose a low-complexity near-optimal wavelength allocation technique for quantum key distribution access networks that rely on wavelength division multiple access. Such networks would allow users to send quantum and classical signals simultaneous...
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...
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...
Coherent control of a hybrid superconducting circuit made with graphene-based van der Waals heterostructures
J. Wang, D. Rodan-Legrain, L. Bretheau +14 more·Sep 14, 2018
Quantum coherence and control is foundational to the science and engineering of quantum systems1,2. In van der Waals materials, the collective coherent behaviour of carriers has been probed successfully by transport measurements3–6. However, temporal...
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...
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...
Demonstration of Slow Light in a Rubidium Vapour Using Single Photons from a Trapped Ion
J. Siverns, J. Hannegan, Q. Quraishi·Aug 23, 2018
Practical implementation of quantum networks are likely to interface different types of quantum systems. When photonic interconnects link the systems together, they must preserve the quantum properties of the photon. These light-matter interfaces may...
Learning and Inference on Generative Adversarial Quantum Circuits
J. Zeng, Y. Wu, Jin-Guo Liu +2 more·Aug 10, 2018
Quantum mechanics is inherently probabilistic in light of Born's rule. Using quantum circuits as probabilistic generative models for classical data exploits their superior expressibility and efficient direct sampling ability. However, training of qua...
Relaxation of nonequilibrium quasiparticles in mesoscopic size superconductors
K. Arutyunov, K. Arutyunov, S. A. Chernyaev +7 more·Aug 1, 2018
Rapid development of micro- and nanofabrication methods have provoked interest and enabled experimental studies of electronic properties of a vast class of (sub)micrometer-size solid state systems. Mesoscopic-size hybrid structures, containing superc...
Hybrid quantum linear equation algorithm and its experimental test on IBM Quantum Experience
Yonghae Lee, J. Joo, Soojoon Lee·Jul 27, 2018
We propose a hybrid quantum algorithm based on the Harrow-Hassidim-Lloyd (HHL) algorithm for solving a system of linear equations. In this paper, we show that our hybrid algorithm can reduce a circuit depth from the original HHL algorithm by means of...
Computational speedups using small quantum devices
V. Dunjko, V. Dunjko, Y. Ge +1 more·Jul 24, 2018
Suppose we have a small quantum computer with only M qubits. Can such a device genuinely speed up certain algorithms, even when the problem size is much larger than M? Here we answer this question to the affirmative. We present a hybrid quantum-class...
Validating quantum-classical programming models with tensor network simulations
A. McCaskey, E. Dumitrescu, Mengsu Chen +2 more·Jul 20, 2018
The exploration of hybrid quantum-classical algorithms and programming models on noisy near-term quantum hardware has begun. As hybrid programs scale towards classical intractability, validation and benchmarking are critical to understanding the util...
Hybrid Quantum System with Nitrogen-Vacancy Centers in Diamond Coupled to Surface-Phonon Polaritons in Piezomagnetic Superlattices
Peng‐Bo Li, F. Nori·Jul 8, 2018
In spin-based hybrid quantum systems, the spatial modes of collective spin excitations can be used to encode a register of qubits. However, in superconducting circuits the wavelengths of microwave photons are much larger than the dimensions of the sp...
Encoding a qubit in a trapped-ion mechanical oscillator
C. Fluhmann, T. Nguyen, M. Marinelli +3 more·Jul 3, 2018
The stable operation of quantum computers will rely on error correction, in which single quantum bits of information are stored redundantly in the Hilbert space of a larger system. Such encoded qubits are commonly based on arrays of many physical qub...
Quantum-assisted quantum compiling
Sumeet Khatri, Ryan Larose, Alexander Poremba +3 more·Jul 2, 2018
Compiling quantum algorithms for near-term quantum computers (accounting for connectivity and native gate alphabets) is a major challenge that has received significant attention both by industry and academia. Avoiding the exponential overhead of clas...
Magnetic field compatible circuit quantum electrodynamics with graphene Josephson junctions
J. Kroll, W. Uilhoorn, K. Enden +7 more·Jun 27, 2018
Circuit quantum electrodynamics has proven to be a powerful tool to probe mesoscopic effects in hybrid systems and is used in several quantum computing (QC) proposals that require a transmon qubit able to operate in strong magnetic fields. To address...
A Universal Training Algorithm for Quantum Deep Learning
Guillaume Verdon, J. Pye, M. Broughton·Jun 25, 2018
We introduce the Backwards Quantum Propagation of Phase errors (Baqprop) principle, a central theme upon which we construct multiple universal optimization heuristics for training both parametrized quantum circuits and classical deep neural networks ...
Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
C. Wilson, J. Otterbach, N. Tezak +7 more·Jun 21, 2018
Noisy intermediate-scale quantum computing devices are an exciting platform for the exploration of the power of near-term quantum applications. Performing nontrivial tasks in such devices requires a fundamentally different approach than what would be...