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20052023
most citedQuantum Machine Learning

4.7k citations · 16.5k across the 115 of their papers we have counts for

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Showing 2022 · quant-phShow all

18 papers · 2 filters

quant-ph2022★ 10 cited

Quantum algorithms for generator coordinate methods

Muqing Zheng, Bo Peng, Nathan Wiebe +3

This paper discusses quantum algorithms for the generator coordinate method (GCM) that can be used to benchmark molecular systems. The GCM formalism defined by exponential operator…

quant-ph2022★ 21 cited

Architectures for Multinode Superconducting Quantum Computers

James Ang, Gabriella Carini, Yanzhu Chen +30

Many proposals to scale quantum technology rely on modular or distributed designs where individual quantum processors, called nodes, are linked together to form one large multinode…

quant-ph2022★ 20 cited

Improved Accuracy for Trotter Simulations Using Chebyshev Interpolation

Gumaro Rendon, Jacob Watkins, Nathan Wiebe

Quantum metrology allows for measuring properties of a quantum system at the optimal Heisenberg limit. However, when the relevant quantum states are prepared using digital Hamilton…

quant-ph2022

Training quantum neural networks using the Quantum Information Bottleneck method

Ahmet Burak Catli, Nathan Wiebe

We provide in this paper a concrete method for training a quantum neural network to maximize the relevant information about a property that is transmitted through the network. This…

quant-ph2022★ 71 cited

Deterministic constant-depth preparation of the AKLT state on a quantum processor using fusion measurements

Kevin C. Smith, Eleanor Crane, Nathan Wiebe +1

The ground state of the spin-1 Affleck, Kennedy, Lieb and Tasaki (AKLT) model is a paradigmatic example of both a matrix product state and a symmetry-protected topological phase, a…

quant-ph2022★ 2 cited

Generating Approximate Ground States of Molecules Using Quantum Machine Learning

Jack Ceroni, Torin F. Stetina, Maria Kieferova +3

The potential energy surface (PES) of molecules with respect to their nuclear positions is a primary tool in understanding chemical reactions from first principles. However, obtain…

quant-ph2022★ 40 cited

Analyzing Prospects for Quantum Advantage in Topological Data Analysis

Dominic W. Berry, Yuan Su, Casper Gyurik +7

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, ana…

quant-ph2022★ 3 cited

Bosonic Qiskit

Timothy J Stavenger, Eleanor Crane, Kevin Smith +3

The practical benefits of hybrid quantum information processing hardware that contains continuous-variable objects (bosonic modes such as mechanical or electromagnetic oscillators)…

quant-ph2022★ 19 cited

Synthesizing efficient circuits for Hamiltonian simulation

Priyanka Mukhopadhyay, Nathan Wiebe, Hong Tao Zhang

We provide a new approach for compiling quantum simulation circuits that appear in Trotter, qDRIFT and multi-product formulas to Clifford and non-Clifford operations that can reduc…

quant-ph2022★ 4 cited

Using Random Walks for Iterative Phase Estimation

Cassandra Granade, Nathan Wiebe

In recent years there has been substantial development in algorithms for quantum phase estimation. In this work we provide a new approach to online Bayesian phase estimation that a…

quant-ph2022★ 46 cited

Reducing molecular electronic Hamiltonian simulation cost for Linear Combination of Unitaries approaches

Ignacio Loaiza, Alireza Marefat Khah, Nathan Wiebe +1

We consider different Linear Combination of Unitaries (LCU) decompositions for molecular electronic structure Hamiltonians. Using these LCU decompositions for Hamiltonian simulatio…

quant-ph2022★ 3 cited

Towards solving the Fermi-Hubbard model via tailored quantum annealers

Ryan Levy, Zoe Gonzalez Izquierdo, Zhihui Wang +8

The Fermi-Hubbard model (FHM) on a two dimensional square lattice has long been an important testbed and target for simulating fermionic Hamiltonians on quantum hardware. We presen…

quant-ph2022★ 39 cited

Two-Unitary Decomposition Algorithm and Open Quantum System Simulation

Nishchay Suri, Joseph Barreto, Stuart Hadfield +3

Simulating general quantum processes that describe realistic interactions of quantum systems following a non-unitary evolution is challenging for conventional quantum computers tha…

quant-ph2022★ 1 cited

Quantum Bayesian Error Mitigation Employing Poisson Modelling over the Hamming Spectrum for Quantum Error Mitigation

Samuel Stein, Nathan Wiebe, Yufei Ding +2

The field of quantum computing has experienced a rapid expansion in recent years, with ongoing exploration of new technologies, a decrease in error rates, and a growth in the numbe…

quant-ph2022★ 21 cited

Composite Quantum Simulations

Matthew Hagan, Nathan Wiebe

In this paper we provide a framework for combining multiple quantum simulation methods, such as Trotter-Suzuki formulas and QDrift into a single Composite channel that builds upon…

quant-ph2022★ 332 cited

Quantum Simulation for High Energy Physics

Christian W. Bauer, Zohreh Davoudi, A. Baha Balantekin +28

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…

quant-ph2022★ 3 cited

Entanglement area law for 1D gauge theories and bosonic systems

Nilin Abrahamsen, Yu Tong, Ning Bao +2

We prove an entanglement area law for a class of 1D quantum systems involving infinite-dimensional local Hilbert spaces. This class of quantum systems include bosonic models such a…

quant-ph2022★ 8 cited

Time Dependent Hamiltonian Simulation Using Discrete Clock Constructions

Jacob Watkins, Nathan Wiebe, Alessandro Roggero +1

Compared with time independent Hamiltonians, the dynamics of generic quantum Hamiltonians are complicated by the presence of time ordering in the evolution operator. In the…