Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Perfect Photon Indistinguishability from a Set of Dissipative Quantum Emitters
J. Guimbao, L. Sanchis, L. Weituschat +2 more·Apr 11, 2022
Single photon sources (SPS) based on semiconductor quantum dot (QD) platforms are restricted to low temperature (T) operation due to the presence of strong dephasing processes. Although the integration of QD in optical cavities provides an enhancemen...
Quantum Fault Trees
Gabriel San Martín Silva, Tarannom Parhizkar, E. Droguett·Apr 10, 2022
: Fault tree analysis is a technique widely used in risk and reliability analysis of complex engineering systems given its deductive nature and relatively simple interpretation. In a fault tree, events are usually represented by a binary variable tha...
The spin-one Motzkin chain is gapped for any area weight $t<1$
Radu Andrei, Marius Lemm, Ramis Movassagh·Apr 9, 2022
We consider the spin-one Motzkin chain with area weight $t>0$. We resolve three questions from the literature about this model. We prove (i) existence of a uniform spectral gap for all $t<1$ as conjectured by Zhang--Ahmadein--Klich \cite{zhang2017nov...
QuiKo: A Quantum Beat Generation Application
Scott Oshiro·Apr 9, 2022
Artificial intelligent (AI) music generation systems have been exciting developments in machine and deep learning, but are limited to the data set(s) that they are fed. As a result, these systems lack a sense of organicness, or intuition, in their re...
The entropy cones of $W_N$ and $W_N^d$ states
H. Schnitzer·Apr 9, 2022
: The quantum entropy cones (QEC) for W N states of qubits and W dN states of qudits are computed. These cones emerge as symmetrized quantum entropy cones (SQEC) for arbitrary N and d . Directed graph models are presented which describe the SQEC for ...
Orthogonal-ansatz VQE: Locating excited states without modifying a cost-function
Kyle Sherbert, M. Nardelli·Apr 9, 2022
Most literature in the Variational Quantum Eigensolver (VQE) algorithm focuses on finding the ground state of a physical system, by minimizing a quantum-computed cost-function. When excited states are required, the cost-function is usually modified to ...
Programmable Hamiltonian engineering with quadratic quantum Fourier transform
Pei Wang, Zhi-Hao Huang, Xingze Qiu +1 more·Apr 9, 2022
Quantum Fourier transform (QFT) is a widely used building block for quantum algorithms, whose scalable implementation is challenging in experiments. Here, we propose a protocol of quadratic quantum Fourier transform (QQFT), considering cold atoms con...
Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage
Stefano Mensa, E. Şahin, F. Tacchino +2 more·Apr 8, 2022
Machine Learning for ligand based virtual screening (LB-VS) is an important in-silico tool for discovering new drugs in a faster and cost-effective manner, especially for emerging diseases such as COVID-19. In this paper, we propose a general-purpose...
Gravitational-wave matched filtering on a quantum computer
D. Veske, Cenk Tüysüz, Mirko Amico +6 more·Apr 8, 2022
State-of-the-art quantum computers have very limited applicability for accurate calculations. Here, we report the first experimental demonstration of qubit-based matched filtering for a detection of the gravitational-wave signal from a binary black h...
Two-qubit gate using conditional driving for highly detuned Kerr nonlinear parametric oscillators
Hiroomi Chono, T. Kanao, Hayato Goto·Apr 7, 2022
A Kerr-nonlinear parametric oscillator (KPO) is one of the promising devices to realize qubits for universal quantum computing. The KPO can stabilize two coherent states with opposite phases, yielding a quantum superposition called a Schr\"{o}dinger ...
Polynomial-time quantum algorithm for solving the hidden subgroup problem
Hefeng Wang·Apr 7, 2022
The hidden subgroup problem~(HSP) is one of the most important problems in quantum computation. Many problems for which quantum algorithm achieves exponential speedup over its classical counterparts can be reduced to the Abelian HSP. However, there i...
Limitations of Variational Quantum Algorithms: A Quantum Optimal Transport Approach
G. Palma, M. Marvian, Cambyse Rouz'e +1 more·Apr 7, 2022
The impressive progress in quantum hardware in the last years has raised the interest of the quantum computing community in harvesting the computational power of such devices. However, in the absence of error correction, these devices can only reliab...
Quantum Simulation for High-Energy Physics
Christian W. Bauer. Zohreh Davoudi, A. Balantekin, Tanmoy Bhattacharya +27 more·Apr 7, 2022
It is for the first time that Quantum Simulation for High Energy Physics (HEP) is studied in the U.S. decadal particle-physics community planning, and in fact until recently, this was not considered a mainstream topic in the community. This fact spea...
Variational dynamics as a ground-state problem on a quantum computer
Stefano Barison, Filippo Vicentini, I. Cirac +1 more·Apr 7, 2022
We propose a variational quantum algorithm to study the real time dynamics of quantum systems as a ground-state problem. The method is based on the original proposal of Feynman and Kitaev to encode time into a register of auxiliary qubits. We prepare...
Demonstration of a Quantum Gate Using Electromagnetically Induced Transparency.
K. McDonnell, L. Keary, J. Pritchard·Apr 7, 2022
We demonstrate a native CNOT gate between two individually addressed neutral atoms based on electromagnetically induced transparency. This protocol utilizes the strong long-range interactions of Rydberg states to enable conditional state transfer on ...
Robust Directional Couplers for State Manipulation in Silicon Photonic-Integrated Circuits
M. Katzman, Y. Piasetzky, Evyatar Rubin +5 more·Apr 7, 2022
Photonic integrated circuits play a central role in current and future applications such as communications, sensing, ranging, and information processing. Photonic quantum computing will also likely require an integrated optics architecture for improv...
Reconstructing Bayesian Networks on a Quantum Annealer
Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna +2 more·Apr 7, 2022
Bayesian networks are widely used probabilistic graphical models, whose structure is hard to learn starting from the generated data. O'Gorman et al. have proposed an algorithm to encode this task, i.e., the Bayesian network structure learning (BNSL),...
Quantum variational learning for quantum error-correcting codes
Chenfeng Cao, Chao-Ni Zhang, Zipeng Wu +2 more·Apr 7, 2022
Quantum error correction is believed to be a necessity for large-scale fault-tolerant quantum computation. In the past two decades, various constructions of quantum error-correcting codes (QECCs) have been developed, leading to many good code familie...
Covariance matrix preparation for quantum principal component analysis
Max Hunter Gordon, M. Cerezo, L. Cincio +1 more·Apr 7, 2022
Principal component analysis (PCA) is a dimensionality reduction method in data analysis that involves diagonalizing the covariance matrix of the dataset. Recently, quantum algorithms have been formulated for PCA based on diagonalizing a density matr...
Convex Optimization for Nonequilibrium Steady States on a Hybrid Quantum Processor.
J. Lau, K. H. Lim, Kishor Bharti +2 more·Apr 7, 2022
Finding the transient and steady state properties of open quantum systems is a central problem in various fields of quantum technologies. Here, we present a quantum-assisted algorithm to determine the steady states of open system dynamics. By reformu...