Papers

A. Delgado, Pablo Antonio Moreno Casares, R. D. Reis +9 more·Apr 25, 2022

There is a pressing need to develop new rechargeable battery technologies that can offer higher energy storage, faster charging, and lower costs. Despite the success of existing methods for the simulation of battery materials, they can sometimes fall...

J. Gibbs, Zoe Holmes, Matthias C. Caro +5 more·Apr 21, 2022

Much attention has been paid to dynamical simulation and quantum machine learning (QML) independently as applications for quantum advantage, while the possibility of using QML to enhance dynamical simulations has not been thoroughly investigated. Her...

F. D. Albareti, Thomas Ankenbrand, Denis Bieri +4 more·Apr 21, 2022

—Quantum computers can solve specific problems that are not feasible on "classical" hardware. Harvesting the speed-up provided by quantum computers therefore has the potential to change any industry which uses computation, including finance. First quan...

Chen-Fu Chiang, P. Alsing·Apr 21, 2022

We investigate the irreconcilability issue that arises when translating the search algorithm from the Continuous Time Quantum Walk (CTQW) framework to the Adiabatic Quantum Computing (AQC) framework. For the AQC formulation to evolve along the same p...

Yi-Long Yang, J. Cirac, M. Bañuls·Apr 20, 2022

We investigate quantum inspired algorithms to compute physical observables of quantum many-body systems at finite energies. They are based on the quantum algorithms proposed in [Lu et al. PRX Quantum 2, 020321 (2021)], which use the quantum simulatio...

Cristina Cîrstoiu, Silas Dilkes, Daniel Mills +2 more·Apr 20, 2022

The detrimental effect of noise accumulates as quantum computers grow in size. In the case where devices are too small or noisy to perform error correction, error mitigation may be used. Error mitigation does not increase the fidelity of quantum stat...

M. S. Alam, S. Belomestnykh, N. Bornman +37 more·Apr 19, 2022

Quantum information science harnesses the principles of quantum mechanics to realize computational algorithms with complexities vastly intractable by current computer platforms. Typical applications range from quantum chemistry to optimization proble...

Gregory Boyd, Bálint Koczor·Apr 18, 2022

Exploiting near-term quantum computers and achieving practical value is a considerable and exciting challenge. Most prominent candidates as variational algorithms typically aim to find the ground state of a Hamiltonian by minimising a single classica...

Timothy Proctor, Stefan Seritan, Erik Nielsen +4 more·Apr 15, 2022

Quantum computing hardware has grown sufficiently complex that it often can no longer be simulated by classical computers, but its computational power remains limited by errors. These errors corrupt the results of quantum algorithms, and it is no lon...

J. Steck, Nathan L. Thompson, E. Behrman·Apr 14, 2022

—We present an improved method for quantum machine learning, using a modified Levenberg-Marquardt (LM) method. The LM method is a powerful hybrid reinforcement learning technique ideally suited to quantum machine learning as it only requires knowledg...

Harper R. Grimsley, George S. Barron, Edwin Barnes +2 more·Apr 14, 2022

Variational quantum eigensolvers (VQEs) represent a powerful class of hybrid quantum-classical algorithms for computing molecular energies. Various numerical issues exist for these methods, however, including barren plateaus and large numbers of loca...

Dylan Herman, Rudy Raymond, Muyuan Li +3 more·Apr 11, 2022

Categorical data play an important part in machine learning research and appears in a variety of applications. Models that can express large classes of real-valued functions on the Boolean cube are useful for problems involving discrete-valued data t...

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...

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...

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...

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 ...

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...

A. P'erez-Obiol, Adri'an P'erez-Salinas, Sergio S'anchez-Ram'irez +2 more·Apr 6, 2022

We devise a quantum-circuit algorithm to solve the ground state and ground energy of artificial graphene. The algorithm implements a Trotterized adiabatic evolution from a purely tight-binding Hamiltonian to one including kinetic, spin-orbit and Coul...

F. Y. Leong, W. Ewe, Dax Enshan Koh·Apr 6, 2022

Variational quantum algorithms offer a promising new paradigm for solving partial differential equations on near-term quantum computers. Here, we propose a variational quantum algorithm for solving a general evolution equation through implicit time-s...

Wen Zheng, Jianwen Xu, Zhimin Wang +4 more·Apr 6, 2022

Quantum adiabatic transfer is widely used in quantum computation and quantum simulation. However, the transfer speed is limited by the quantum adiabatic approximation condition, which hinders its application in quantum systems with a short decoherenc...