Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
31,411
This Month
0
Today
0
Research Volume
15,521 papers in 12 months (-3% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Optimal Model for Fewer-Qubit CNOT Gates With Rydberg Atoms
Rui Li, Shurui Li, Dongmin Yu +2 more·Dec 16, 2021
Fewer-qubit quantum logic gate, serving as a basic unit for constructing universal multiqubit gates, has been widely applied in quantum computing and quantum information. However, traditional constructions for fewer-qubit gates often utilize a multi-...
Portfolio optimization with digitized counterdiabatic quantum algorithms
N. N. Hegade, P. Chandarana, K. Paul +3 more·Dec 15, 2021
We consider digitized-counterdiabatic quantum computing as an advanced paradigm to approach quantum advantage for industrial applications in the NISQ era. We apply this concept to investigate a discrete mean-variance portfolio optimization problem, s...
How to Simulate Quantum Measurement without Computing Marginals.
S. Bravyi, David Gosset, Yinchen Liu·Dec 15, 2021
We describe and analyze algorithms for classically simulating measurement of an n-qubit quantum state in the standard basis, that is, sampling a bit string from the probability distribution determined by the Born rule. Our algorithms reduce the sampl...
Quantum algorithms for reinforcement learning with a generative model
Daochen Wang, Aarthi Sundaram, Robin Kothari +2 more·Dec 15, 2021
Reinforcement learning studies how an agent should interact with an environment to maximize its cumulative reward. A standard way to study this question abstractly is to ask how many samples an agent needs from the environment to learn an optimal pol...
Two-level quantum walkers on directed graphs. I. Universal quantum computing
Ryo Asaka, K. Sakai, Ryoko Yahagi·Dec 15, 2021
In the present paper, the first in a series of two, we propose a model of universal quantum computation using a fermionic/bosonic multi-particle continuous-time quantum walk with two internal states (e.g., the spin-up and down states of an electron)....
Spectrum of digitized QCD: Glueballs in a <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>S</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mn>1080</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> gauge theory
A. Alexandru, P. Bedaque, R. Brett +1 more·Dec 15, 2021
Quantum simulations of QCD require digitization of the infinite-dimensional gluon field. Schemes for doing this with the minimum amount of qubits are desirable. We present a practical digitization for $SU(3)$ gauge theories via its discrete subgroup ...
Schrödinger-Heisenberg Variational Quantum Algorithms.
Zhong-Xia Shang, Ming-Cheng Chen, Xiao Yuan +2 more·Dec 15, 2021
Recent breakthroughs have opened the possibility of intermediate-scale quantum computing with tens to hundreds of qubits, and shown the potential for solving classical challenging problems, such as in chemistry and condensed matter physics. However, ...
Dynamical approach to improving Majorana qubits and distinguishing them from trivial bound states
Brett Min, Bastien Fajardo, T. Pereg-Barnea +1 more·Dec 15, 2021
We study a series of dynamical protocols which involve periodically driving a quantum dot coupled to a putative nanowire hosting Majorana zero modes (MZMs) to i) reduce the hybridization between MZMs, ii) improve the coherence of the Majorana qubit w...
Numerical evaluation and robustness of the quantum mean-force Gibbs state
Yiu-Fung Chiu, A. Strathearn, Jonathan Keeling·Dec 15, 2021
We introduce a numerical method to determine the Hamiltonian of Mean Force (HMF) Gibbs state for a quantum system strongly coupled to a reservoir. The method adapts the Time Evolving Matrix Product Operator (TEMPO) algorithm to imaginary time propaga...
Practical Quantum K-Means Clustering: Performance Analysis and Applications in Energy Grid Classification
Stephen Diadamo, Corey O’Meara, G. Cortiana +1 more·Dec 15, 2021
In this work, we aim to solve a practical use-case of unsupervised clustering that has applications in predictive maintenance in the energy operations sector using quantum computers. Using only cloud access to quantum computers, we complete thorough ...
Light Modulation in Silicon Photonics by PZT Actuated Acoustic Waves
Irfan Ansari, J. George, G. F. Feutmba +4 more·Dec 15, 2021
Tailoring the interaction between light and sound has opened new possibilities in photonic integrated circuits (PICs) that range from achieving quantum control of light to high-speed information processing. However, the actuation of sound waves in Si...
Building separable approximations for quantum states via neural networks
Antoine Girardin, N. Brunner, Tam'as Kriv'achy·Dec 15, 2021
Finding the closest separable state to a given target state is a notoriously difficult task, even more difficult than deciding whether a state is entangled or separable. To tackle this task, we parametrize separable states with a neural network and t...
Coherent phase slips in coupled matter-wave circuits
A. P'erez-Obiol, J. Polo, L. Amico·Dec 15, 2021
Quantum Phase slips are dual process of particle tunneling in coherent networks. Besides to be of central interest for condensed matter physics, quantum phase slips are resources that are sought to be manipulated in quantum circuits. Here, we devise ...
Authenticated Multiparty Quantum Key Agreement for Optical-Ring Quantum Communication Networks
Li-Zhen Gao, Xin Zhang, Song Lin +2 more·Dec 15, 2021
Quantum communication networks are connected by various devices to achieve communication or distributed computing for users in remote locations. In order to solve the problem of generating temporary session key for secure communication in optical-rin...
Kernel Matrix Completion for Offline Quantum-Enhanced Machine Learning
Annie Naveh, Imogen Fitzgerald, A. Phan +2 more·Dec 15, 2021
Enhancing classical machine learning (ML) algorithms through quantum kernels is a rapidly growing research topic in quantum machine learning (QML). A key challenge in using kernels -- both classical and quantum -- is that ML workflows involve acquiri...
A Quantum Internet Architecture
R. V. Meter, Ryosuke Satoh, Naphan Benchasattabuse +5 more·Dec 14, 2021
Entangled quantum communication is advancing rapidly, with laboratory and metropolitan testbeds under development, but to date there is no unifying Quantum Internet architecture. We propose a Quantum Internet architecture centered around the Quantum ...
Simultaneous Execution of Quantum Circuits on Current and Near-Future NISQ Systems
Yasuhiro Ohkura, Takahiko Satoh, Rodney Van Meter·Dec 14, 2021
In the noisy intermediate-scale quantum (NISQ) era, the idea of quantum multiprogramming, running multiple quantum circuits (QCs) simultaneously on the same hardware, helps to improve the throughput of quantum computation. However, the crosstalk, unw...
Quantum expectation-value estimation by computational basis sampling
M. Kohda, R. Imai, Keita Kanno +3 more·Dec 14, 2021
Measuring expectation values of observables is an essential ingredient in variational quantum algorithms. A practical obstacle is the necessity of a large number of measurements for statistical convergence to meet requirements of precision, such as c...
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans{ä}tze
Han Zheng, Zimu Li, Junyu Liu +2 more·Dec 14, 2021
We develop a theoretical framework for $S_n$-equivariant convolutional quantum circuits with SU$(d)$-symmetry, building on and significantly generalizing Jordan's Permutational Quantum Computing (PQC) formalism based on Schur-Weyl duality connecting ...
Quantum annealing for industry applications: introduction and review
S. Yarkoni, E. Raponi, Thomas Bäck +1 more·Dec 14, 2021
Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to solve combinatorial optimization problems. In recent years, advances in quantum technologies have enabled the development of small- and intermediate-scale quantu...