Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Scalably learning quantum many-body Hamiltonians from dynamical data
Frederik Wilde, Augustine Kshetrimayum, I. Roth +3 more·Sep 28, 2022
The physics of a closed quantum mechanical system is governed by its Hamiltonian. However, in most practical situations, this Hamiltonian is not precisely known, and ultimately all there is are data obtained from measurements on the system. In this w...
Functional Encryption with Secure Key Leasing
Fuyuki Kitagawa, R. Nishimaki·Sep 27, 2022
Secure software leasing is a quantum cryptographic primitive that enables us to lease software to a user by encoding it into a quantum state. Secure software leasing has a mechanism that verifies whether a returned software is valid or not. The secur...
Analyzing Prospects for Quantum Advantage in Topological Data Analysis
D. Berry, Yuan Su, Casper Gyurik +7 more·Sep 27, 2022
Lloyd et al. were first to demonstrate the promise of quantum algorithms for computing Betti numbers, a way to characterize topological features of data sets. Here, we propose, analyze, and optimize an improved quantum algorithm for topological data ...
Generalized quantum PageRank algorithm with arbitrary phase rotations
S. A. Ortega, M. Martin-Delgado·Sep 27, 2022
The quantization of the PageRank algorithm is a promising tool for a future quantum internet. Here we present a modification of the quantum PageRank introducing arbitrary phase rotations (APR) in the underlying Szegedy's quantum walk. We define three...
Software science view on quantum circuit algorithms
Y. Gurevich, A. Blass·Sep 27, 2022
We show that, on the abstraction level of quantum circuit diagrams, quantum circuit algorithms belong to the species of interactive sequential algorithms that we studied in earlier work. This observation leads to a natural specification language for ...
Boosting Quantum Fidelity with an Ordered Diverse Ensemble of Clifford Canary Circuits
Gokul Subramanian Ravi, Jonathan M. Baker, Kaitlin N. Smith +3 more·Sep 27, 2022
—On today’s noisy imperfect quantum devices, execu- tion fidelity tends to collapse dramatically for most applications beyond a handful of qubits. It is therefore imperative to employ novel techniques that can boost quantum fidelity in new ways. This p...
quEEGNet: Quantum AI for Biosignal Processing
T. Koike-Akino, Ye Wang·Sep 27, 2022
In this paper, we introduce an emerging quantum machine learning (QML) framework to assist classical deep learning methods for biosignal processing applications. Specifically, we propose a hybrid quantum-classical neural network model that integrates...
A streamlined quantum algorithm for topological data analysis with exponentially fewer qubits
Sam McArdle, András Gilyén, Mario Berta·Sep 26, 2022
Topological invariants of a dataset, such as the number of holes that survive from one length scale to another (persistent Betti numbers) can be used to analyze and classify data in machine learning applications. We present an improved quantum algori...
Application of Quantum Machine Learning in a Higgs Physics Study at the CEPC
Abdualazem Fadol, Q. Sha, Yaquan Fang +5 more·Sep 26, 2022
Machine learning has blossomed in recent decades and has become essential in many fields. It significantly solved some problems in particle physics -- particle reconstruction, event classification, etc. However, it is now time to break the limitation...
Compact and complete description of non-Markovian dynamics.
T. Sayer, Andrés Montoya-Castillo·Sep 26, 2022
Generalized master equations provide a theoretically rigorous framework to capture the dynamics of processes ranging from energy harvesting in plants and photovoltaic devices to qubit decoherence in quantum technologies and even protein folding. At t...
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
Tongyang Li, Ruizhe Zhang·Sep 26, 2022
We initiate the study of quantum algorithms for optimizing approximately convex functions. Given a convex set ${\cal K}\subseteq\mathbb{R}^{n}$ and a function $F\colon\mathbb{R}^{n}\to\mathbb{R}$ such that there exists a convex function $f\colon\math...
Making Trotterization Adaptive and Energy-Self-Correcting for NISQ Devices and Beyond
Hongzheng Zhao, M. Bukov, M. Heyl +1 more·Sep 26, 2022
Simulation of continuous time evolution requires time discretization on both classical and quantum computers. A finer time step improves simulation precision, but it inevitably leads to increased computational efforts. This is particularly costly for...
Characterizing a non-equilibrium phase transition on a quantum computer
E. Chertkov, Zihan Cheng, A. Potter +13 more·Sep 26, 2022
Quantum systems subject to driving and dissipation display distinctive non-equilibrium phenomena relevant to condensed matter, quantum optics, metrology and quantum error correction. An example is the emergence of phase transitions with uniquely quan...
Evaluating the impact of noise on the performance of the Variational Quantum Eigensolver
Marita Oliv, A. Matic, Thomas Messerer +1 more·Sep 26, 2022
Quantum computers are expected to be highly beneficial for chemistry simulations, promising significant improvements in accuracy and speed. The most prominent algorithm for chemistry simulations on NISQ devices is the Variational Quantum Eigensolver (V...
Lattice regularizations of $\theta$ vacua: Anomalies and qubit models
Mendel Nguyen, Hersh Singh·Sep 26, 2022
Anomalies are a powerful way to gain insight into possible lattice regularizations of a quantum field theory. In this work, we argue that the continuum anomaly for a given symmetry can be matched by a manifestly-symmetric, local, lattice regularizati...
Scalable Quantum Convolutional Neural Networks
Hankyul Baek, Won Joon Yun, Joongheon Kim·Sep 26, 2022
With the beginning of the noisy intermediate-scale quantum (NISQ) era, quantum neural network (QNN) has recently emerged as a solution for the problems that classical neural networks cannot solve. Moreover, QCNN is attracting attention as the next ge...
Navigating the Dynamic Noise Landscape of Variational Quantum Algorithms with QISMET
Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker +5 more·Sep 25, 2022
In the Noisy Intermediate Scale Quantum (NISQ) era, the dynamic nature of quantum systems causes noise sources to constantly vary over time. Transient errors from the dynamic NISQ noise landscape are challenging to comprehend and are especially detri...
Constant-time quantum algorithm for homology detection in closed curves
Nhat A. Nghiem, X. Gu, T. Wei·Sep 25, 2022
Given a loop or more generally 1-cycle rr of size L on a closed two-dimensional manifold or surface, represented by a triangulated mesh, a question in computational topology asks whether or not it is homologous to zero. We frame and tackle this probl...
Hello Quantum World! A rigorous but accessible first-year university course in quantum information science
S. Economou, Edwin Barnes·Sep 25, 2022
Addressing workforce shortages within the Quantum Information Science and Engineering (QISE) community requires attracting and retaining students from diverse backgrounds early on in their undergraduate education. Here, we describe a course we develo...
From String Detection to Orthogonal Vector Problem
Yunhao Wang, Tian-Xing Zheng, L. Horesh·Sep 23, 2022
Considering Grover's Search Algorithm (GSA) with the standard diffuser stage applied, we revisit the $3$-qubit unique String Detection Problem (SDP) and extend the algorithm to $4$-qubit SDP with multiple winners. We then investigate unstructured sea...