Quantum Brain

Papers

Live trends in quantum computing research, updated daily from arXiv.

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31,714

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152

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15,749 papers in 12 months (-37% vs prior quarter)

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31,714 papers found

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...

Computer SciencePhysics

Quantum speedups need structure

Nathan Keller, Ohad Klein·Nov 9, 2019

We prove the following conjecture, raised by Aaronson and Ambainis in 2008: Let $f:\{-1,1\}^n \rightarrow [-1,1]$ be a multilinear polynomial of degree $d$. Then there exists a variable $x_i$ whose influence on $f$ is at least $\mathrm{poly}(\mathrm{...

Computer ScienceMathematics

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...

Computer ScienceMathematicsPhysics

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...

MathematicsPhysics

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...

Physics

Hybrid quantum-classical convolutional neural networks

Junhua Liu, Kwan Hui Lim, Kristin L. Wood +3 more·Nov 8, 2019

Deep learning has been shown to be able to recognize data patterns better than humans in specific circumstances or contexts. In parallel, quantum computing has demonstrated to be able to output complex wave functions with a few number of gate operati...

PhysicsMathematics

Quantum circuit for the fast Fourier transform

Ryo Asaka, K. Sakai, Ryoko Yahagi·Nov 8, 2019

We propose an implementation of the algorithm for the fast Fourier transform (FFT) as a quantum circuit consisting of a combination of some quantum gates. In our implementation, a data sequence is expressed by a tensor product of vector spaces. Namel...

PhysicsComputer Science

Finding good quantum codes using the Cartan form

Akshaya Jayashankar, Anjala M. Babu, H. Ng +1 more·Nov 7, 2019

We present a simple and fast numerical procedure to search for good quantum codes for storing logical qubits in the presence of independent per-qubit noise. In a key departure from past work, we use the worst-case fidelity as the figure of merit for ...

Physics

Quantum Algorithm for the Multicollision Problem

Akinori Hosoyamada, Yu Sasaki, S. Tani +1 more·Nov 7, 2019

The current paper presents a new quantum algorithm for finding multicollisions, often denoted by $\ell$-collisions, where an $\ell$-collision for a function is a set of $\ell$ distinct inputs that are mapped by the function to the same value. The tig...

PhysicsComputer Science

A unidirectional on-chip photonic interface for superconducting circuits

P. Guimond, P. Guimond, B. Vermersch +10 more·Nov 6, 2019

We propose and analyze a passive architecture for realizing on-chip, scalable cascaded quantum devices. In contrast to standard approaches, our scheme does not rely on breaking Lorentz reciprocity. Rather, we engineer the interplay between pairs of s...

Physics

Quantum entanglement, supersymmetry, and the generalized Yang-Baxter equation.

Pramod Padmanabhan, Fumihiko Sugino, Diego Trancanelli·Nov 6, 2019

Entangled states, such as the Bell and GHZ states, are generated from separable states using matrices known to satisfy the Yang-Baxter equation and its generalization. This remarkable fact hints at the possibility of using braiding operators as quant...

PhysicsMathematics

Electric circuits for universal quantum gates and quantum Fourier transformation

M. Ezawa·Nov 6, 2019

Universal quantum computation may be realized based on quantum walk, by formulating it as a scattering problem on a graph. In this paper, we simulate quantum gates through electric circuits, following a recent report that a one-dimensional $LC$ elect...

Physics

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...

PhysicsMaterials Science

On the quantum complexity of closest pair and related problems

S. Aaronson, Nai-Hui Chia, Han-Hsuan Lin +2 more·Nov 5, 2019

The closest pair problem is a fundamental problem of computational geometry: given a set of n points in a d-dimensional space, find a pair with the smallest distance. A classical algorithm taught in introductory courses solves this problem in O(n log...

PhysicsComputer ScienceMathematics

Controlled quantum operations and combs, and their applications to universal controllization of divisible unitary operations

Qingxiuxiong Dong, S. Nakayama, A. Soeda +1 more·Nov 5, 2019

Unitary operations are a fundamental component of quantum algorithms, but they seem to be far more useful if given with a "quantum control" as a controlled unitary operation. However, quantum operations are not limited to unitary operations. Neverthe...

PhysicsMathematics

Design and experimental performance of local entanglement witness operators

D. Amaro, Markus P. Müller·Nov 4, 2019

Entanglement is a central concept in quantum information and a key resource for many quantum protocols. In this work we propose and analyze a class of entanglement witnesses that detect the presence of entanglement in subsystems of experimental multi...

Physics

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...

Computer SciencePhysics

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...

PhysicsComputer ScienceMathematics

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...

Computer ScienceMathematicsPhysicsEngineering

Cancer Detection Using Quantum Neural Networks: A Demonstration on a Quantum Computer

Nilima Mishra, Aradh Bisarya, Shubham Kumar +3 more·Nov 1, 2019

Artificial intelligence and machine learning paves the way to achieve greater technical feats. In this endeavor to hone these techniques, quantum machine learning is budding to serve as an important tool. Using the techniques of deep learning and sup...

MathematicsPhysics
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