Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Measurement-induced entanglement phase transition on a superconducting quantum processor with mid-circuit readout
Jin Ming Koh, Shi-Ning Sun, M. Motta +1 more·Mar 8, 2022
Quantum many-body systems subjected to unitary evolution with the addition of interspersed measurements exhibit a variety of dynamical phases that do not occur under pure unitary evolution. However, these systems remain challenging to investigate on ...
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms
Armando Angrisani, Mina Doosti, E. Kashefi·Mar 7, 2022
Differential privacy provides a theoretical framework for processing a dataset about $n$ users, in a way that the output reveals a minimal information about any single user. Such notion of privacy is usually ensured by noise-adding mechanisms and amp...
Unsupervised quantum circuit learning in high energy physics
Andrea Delgado, Kathleen E. Hamilton·Mar 7, 2022
Unsupervised training of generative models is a machine learning task that has many applications in scientific computing. In this work we evaluate the efficacy of using quantum circuit-based generative models to generate synthetic data of high energy...
Quantum spectral clustering algorithm for unsupervised learning
Qing Li, Yuhan Huang, Shan Jin +2 more·Mar 7, 2022
Clustering is one of the most crucial problems in unsupervised learning, and the well-known k-means algorithm can be implemented on a quantum computer with a significant speedup. However, for the clustering problems that cannot be solved using the k-...
Hardware-tailored diagonalization circuits
Daniel Miller, Laurin E. Fischer, Kyano Levi +5 more·Mar 7, 2022
A central building block of many quantum algorithms is the diagonalization of Pauli operators. Although it is always possible to construct a quantum circuit that simultaneously diagonalizes a given set of commuting Pauli operators, only resource-effi...
Quantum computing for software engineering: prospects
A. Miranskyy, Mushahid Khan, J. Faye +1 more·Mar 7, 2022
Quantum computers (QCs) are maturing. When QCs are powerful enough, they may be able to handle problems in chemistry, physics, and finance that are not classically solvable. However, the applicability of quantum algorithms to speed up Software Engine...
Quantum computation with cat qubits
Jérémie Guillaud, Joachim Cohen, M. Mirrahimi·Mar 7, 2022
These are the lecture notes from the 2019 Les Houches Summer School on “Quantum Information Machines”. After a brief introduction to quantum error correction and bosonic codes, we focus on the case of cat qubits stabilized by a nonlinear multi-photon...
Quantum Differential Privacy in the Local Model
Armando Angrisani, E. Kashefi·Mar 7, 2022
Differential privacy provides a robust framework for protecting sensitive data, while maintaining its utility for computation. In essence, a differentially private algorithm takes as input the data of multiple parties, and returns an output disclosin...
Adaptive quantum codes: constructions, applications and fault tolerance
Akshaya Jayashankar·Mar 7, 2022
A major obstacle towards realizing a practical quantum computer is the noise that arises due to system-environment interactions. While it is very well known that quantum error correction (QEC) provides a way to protect against errors that arise due t...
Complex Field Formulation of the Quantum Estimation Theory
M. Muñoz, L. Pereira, C. Vargas +2 more·Mar 6, 2022
We present a complex field formulation of the quantum estimation theory that works natively with complex statistics on the dependence of complex parameters. This formulation states new complex versions of the main quantities and results of the estima...
Quantum Algorithm to Estimate the Mean Value of a Function
Amanuel Tamirat·Mar 6, 2022
This paper proposes a quantum circuit for computing the mean value from a given set of numbers or function evaluations. Suppose a Quantum Random Access Memory is given as a black-box function, which allows us to store and read the values of a set as ...
Towards an Antivirus for Quantum Computers
S. Deshpande, Chuan Xu, Theodoros Trochatos +2 more·Mar 5, 2022
Researchers are today exploring models for cloud-based usage of quantum computers where multi-tenancy can be used to share quantum computer hard-ware among multiple users. Multi-tenancy has a promise of allowing better utilization of the quantum comp...
A highly efficient tensor network algorithm for multi-asset Fourier options pricing
M. Kastoryano, Nicola Pancotti·Mar 5, 2022
Risk assessment and in particular derivatives pricing is one of the core areas in computational finance and accounts for a sizeable fraction of the global computing resources of the financial industry. We outline a quantum-inspired algorithm for mult...
Surviving The Barren Plateau in Variational Quantum Circuits with Bayesian Learning Initialization
A. Rad, Alireza Seif, N. Linke·Mar 4, 2022
Variational quantum-classical hybrid algorithms are seen as a promising strategy for solving practical problems on quantum computers in the near term. While this approach reduces the number of qubits and operations required from the quantum machine, ...
Symmetry enhanced variational quantum spin eigensolver
Chufan Lyu, Xusheng Xu, M. Yung +1 more·Mar 4, 2022
The variational quantum-classical algorithms are the most promising approach for achieving quantum advantage on near-term quantum simulators. Among these methods, the variational quantum eigensolver has attracted a lot of attention in recent years. W...
Quantum Deep Learning for Mutant COVID-19 Strain Prediction
Yumi Jin, Junmin Hu, Qi Li +5 more·Mar 4, 2022
New COVID-19 epidemic strains like Delta and Omicron with increased transmissibility and pathogenicity emerge and spread across the whole world rapidly while causing high mortality during the pandemic period. Early prediction of possible variants (es...
Quantum Levenberg-Marquardt Algorithm for optimization in Bundle Adjustment
Luca Bernecker, Andrea Idini·Mar 4, 2022
In this paper we develop a quantum optimization algorithm and use it to solve the bundle adjustment problem with a simulated quantum computer. Bundle adjustment is the process of optimizing camera poses and sensor properties to best reconstruct the t...
Quantum approximate optimization algorithm for Bayesian network structure learning
Vicente P. Soloviev, C. Bielza, P. Larrañaga·Mar 4, 2022
Bayesian network structure learning is an NP-hard problem that has been faced by a number of traditional approaches in recent decades. Currently, quantum technologies offer a wide range of advantages that can be exploited to solve optimization tasks ...
Quantum Algorithms for Estimating Quantum Entropies
Youle Wang, Benchi Zhao, Xin Wang·Mar 4, 2022
The von Neumann and quantum R\'enyi entropies characterize fundamental properties of quantum systems and lead to theoretical and practical applications in many fields. Quantum algorithms for estimating quantum entropies, using a quantum query model t...
Variational Quantum Algorithm for Approximating Convex Roofs
G. Androulakis, Ryan McGaha·Mar 4, 2022
Many entanglement measures are first defined for pure states of a bipartite Hilbert space, and then extended to mixed states via the convex roof extension. In this article we alter the convex roof extension of an entanglement measure, to produce a se...