Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Monte Carlo studies of modified scalable designs for quantum computation
G. Feng, Jingwei Chen, Hong-Hao Zhang·Nov 15, 2019
As the building blocks of topological quantum computation, Majorana zero modes (MZMs) have attracted tremendous attention in recent years. Scalable mesoscopic island designs with MZMs show great potential in quantum information processing. However, t...
A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer
Nga T. T. Nguyen, Garrett T. Kenyon, B. Yoon·Nov 14, 2019
We propose a regression algorithm that utilizes a learned dictionary optimized for sparse inference on a D-Wave quantum annealer. In this regression algorithm, we concatenate the independent and dependent variables as a combined vector, and encode th...
A Multireference Quantum Krylov Algorithm for Strongly Correlated Electrons.
Nicholas H Stair, Ren-dong Huang, Francesco A. Evangelista·Nov 12, 2019
We introduce a multireference selected quantum Krylov (MRSQK) algorithm suitable for quantum simulation of many-body problems. \methodabbr is a low-cost alternative to the quantum phase estimation algorithm that generates a target state as a linear c...
Full-State Quantum Circuit Simulation by Using Data Compression
Xin-Chuan Wu, S. Di, Emma Maitreyee Dasgupta +4 more·Nov 11, 2019
Quantum circuit simulations are critical for evaluating quantum algorithms and machines. However, the number of state amplitudes required for full simulation increases exponentially with the number of qubits. In this study, we leverage data compressi...
A New Approach: Cognitive Multi-Level Authentication (CMLA) in Nuclear Command and Control
Aysha Shabbir, Maryam Shabbir, Fahad Ahmad +1 more·Nov 11, 2019
Nuclear monitoring must considered as high precedence against national security. Now with the increasing nuclear threats it is crucial to ensure that malicious entity never procure nuclear warheads. Which comprises the prevention of illegal or terror...
Site-by-site quantum state preparation algorithm for preparing vacua of fermionic lattice field theories
A. Moosavian, J. Garrison, S. Jordan·Nov 8, 2019
Answering whether quantum computers can efficiently simulate quantum field theories has both theoretical and practical motivation. From the theoretical point of view, it answers the question of whether a hypothetical computer that utilizes quantum fi...
Theory of robust multiqubit nonadiabatic gates for trapped ions
Yotam Shapira, Ravid Shaniv, T. Manovitz +5 more·Nov 8, 2019
The prevalent approach to executing quantum algorithms on quantum computers is to break-down the algorithms to a concatenation of universal gates, typically single and two-qubit gates. However such a decomposition results in long gate sequences which...
Scaling advantage in quantum simulation of geometrically frustrated magnets
A. King, Jack Raymond, T. Lanting +51 more·Nov 8, 2019
The promise of quantum computing lies in harnessing programmable quantum devices for practical applications such as efficient simulation of quantum materials and condensed matter systems. One important task is the simulation of geometrically frustrat...
Charge-density-wave melting in the one-dimensional Holstein model
J. Stolpp, J. Herbrych, F. Dorfner +2 more·Nov 5, 2019
We study the Holstein model of spinless fermions, which at half filling exhibits a quantum phase transition from a metallic Tomonaga-Luttinger liquid phase to an insulating charge-density-wave (CDW) phase at a critical electron-phonon coupling streng...
Quantum Algorithms for Deep Convolutional Neural Networks
Iordanis Kerenidis, Jonas Landman, A. Prakash·Nov 4, 2019
Quantum computing is a new computational paradigm that promises applications in several fields, including machine learning. In the last decade, deep learning, and in particular Convolutional neural networks (CNN), have become essential for applicatio...
Experimental simulation of hybrid quantum systems and entanglement on a quantum computer
Farai Mazhandu, Kayleigh Mathieson, C. Coleman +1 more·Nov 3, 2019
We propose the utilization of the IBM Quantum Experience quantum computing system to simulate different scenarios involving common hybrid quantum system components, the Nitrogen Vacancy Centre (NV centre) and the Flux Qubit. We perform a series of th...
Robust Control Optimization for Quantum Approximate Optimization Algorithm
Yulong Dong, X. Meng, Lin Lin +2 more·Nov 2, 2019
Quantum variational algorithms have garnered significant interest recently, due to their feasibility of being implemented and tested on noisy intermediate scale quantum (NISQ) devices. We examine the robustness of the quantum approximate optimization...
One-dimensional Hadamard Quantum Walk on a Cycle with Rotational Implementation
K. Georgopoulos, P. Zuliani·Nov 1, 2019
Quantum walks have been extensively studied recently, mainly due to their vast difference in behavior to classical random walks. This paper is concerned with discrete time and space quantum walks of particles that propagate through a one-dimensional ...
Quantum simulation by qubitization without Toffoli gates
M. Steudtner, S. Wehner·Nov 1, 2019
Qubitization is a modern approach to estimate Hamiltonian eigenvalues without simulating its time evolution. While in this way approximation errors are avoided, its resource and gate requirements are more extensive: qubitization requires additional q...
Simulating lattice gauge theories within quantum technologies
M. Bañuls, R. Blatt, J. Catani +17 more·Oct 31, 2019
Lattice gauge theories, which originated from particle physics in the context of Quantum Chromodynamics (QCD), provide an important intellectual stimulus to further develop quantum information technologies. While one long-term goal is the reliable qu...
Quantum Wasserstein Generative Adversarial Networks
Shouvanik Chakrabarti, Yiming Huang, Tongyang Li +2 more·Oct 31, 2019
The study of quantum generative models is well-motivated, not only because of its importance in quantum machine learning and quantum chemistry but also because of the perspective of its implementation on near-term quantum machines. Inspired by previo...
Reducing qubit requirements for quantum simulation using molecular point group symmetries.
Kanav Setia, Richard Chen, J. Rice +3 more·Oct 31, 2019
Simulating molecules is believed to be one of the early-stage applications for quantum computers. Current state-of-the-art quantum computers are limited in size and coherence, therefore optimizing resources to execute quantum algorithms is crucial. I...
Collective optimization for variational quantum eigensolvers
Dan-Bo Zhang, Tao Yin·Oct 30, 2019
Variational quantum eigensolver (VQE) optimizes parameterized eigenstates of a Hamiltonian on a quantum processor by updating parameters with a classical computer. Such a hybrid quantum-classical optimization serves as a practical way to leverage up ...
Quantum synchronization on the IBM Q system
M. Koppenhöfer, C. Bruder, Alexandre Roulet·Oct 28, 2019
We report the first experimental demonstration of quantum synchronization. This is achieved by performing a digital simulation of a single spin-$1$ limit-cycle oscillator on the quantum computers of the IBM Q System. Applying an external signal to th...
A framework for deep energy-based reinforcement learning with quantum speed-up
S. Jerbi, Hendrik Poulsen Nautrup, Lea M. Trenkwalder +2 more·Oct 28, 2019
In the past decade, deep learning methods have seen tremendous success in various supervised and unsupervised learning tasks such as classification and generative modeling. More recently, deep neural networks have emerged in the domain of reinforceme...