activity
20152024
most citedSimulating Quantum Materials with Digital Quantum Computers

84 citations · 224 across the 17 of their papers we have counts for

collaborators

18 papers

quant-ph2024

Realizing Quantum Kernel Models at Scale with Matrix Product State Simulation

Mekena Metcalf, Pablo Andrés-Martínez, Nathan Fitzpatrick

Data representation in quantum state space offers an alternative function space for machine learning tasks. However, benchmarking these algorithms at a practical scale has been lim…

quant-ph2023★ 1 cited

Quantum Multiple Kernel Learning in Financial Classification Tasks

Shungo Miyabe, Brian Quanz, Noriaki Shimada +11

Financial services is a prospect industry where unlocked near-term quantum utility could yield profitable potential, and, in particular, quantum machine learning algorithms could p…

quant-ph2023★ 13 cited

Reinforcement learning pulses for transmon qubit entangling gates

Ho Nam Nguyen, Felix Motzoi, Mekena Metcalf +3

The utility of a quantum computer depends heavily on the ability to reliably perform accurate quantum logic operations. For finding optimal control solutions, it is of particular i…

physics.ed-ph2023

Quantum Computing, Math, and Physics (QCaMP): Introducing quantum computing in high schools

Megan Ivory, Alisa Bettale, Rachel Boren +9

The nascent but rapidly growing field of Quantum Information Science and Technology has led to an increased demand for skilled quantum workers and an opportunity to build a diverse…

quant-ph2023★ 3 cited

Emergent Order in Classical Data Representations on Ising Spin Models

Jorja J. Kirk, Matthew D. Jackson, Daniel J. M. King +2

Encoding classical data on quantum spin Hamiltonians yields ordered spin ground states which are used to discriminate data types for binary classification. The Ising Hamiltonian is…

quant-ph2022★ 2 cited

Compact Molecular Simulation on Quantum Computers via Combinatorial Mapping and Variational State Preparation

Diana Chamaki, Mekena Metcalf, Wibe A. de Jong

Compact representations of fermionic Hamiltonians are necessary to perform calculations on quantum computers that lack error-correction. A fermionic system is typically defined wit…

quant-ph2022

Parametric Amplification of an Optomechanical Quantum Interconnect

Huo Chen, Marti Vives, Mekena Metcalf

Connecting superconducting qubits to optical fiber necessitates the conversion of microwave photons to optical photons. Modern experimental demonstrations exhibit strong coupling b…

quant-ph2021

Quantum Markov Chain Monte Carlo with Digital Dissipative Dynamics on Quantum Computers

Mekena Metcalf, Emma Stone, Katherine Klymko +3

Modeling the dynamics of a quantum system connected to the environment is critical for advancing our understanding of complex quantum processes, as most quantum processes in nature…

quant-ph2021★ 84 cited

Simulating Quantum Materials with Digital Quantum Computers

Lindsay Bassman, Miroslav Urbanek, Mekena Metcalf +3

Quantum materials exhibit a wide array of exotic phenomena and practically useful properties. A better understanding of these materials can provide deeper insights into fundamental…

quant-ph2020★ 2 cited

Dynamical Self-energy Mapping (DSEM) for quantum computing

Diksha Dhawan, Mekena Metcalf, Dominika Zgid

For noisy intermediate-scale quantum (NISQ) devices only a moderate number of qubits with a limited coherence is available thus enabling only shallow circuits and a few time evolut…

hep-ph2020★ 57 cited

Quantum simulation of open quantum systems in heavy-ion collisions

Wibe A. de Jong, Mekena Metcalf, James Mulligan +3

We present a framework to simulate the dynamics of hard probes such as heavy quarks or jets in a hot, strongly-coupled quark-gluon plasma (QGP) on a quantum computer. Hard probes i…

quant-ph2020

Towards AI-enabled Control for Enhancing Quantum Transduction

Mekena Metcalf, Anastasiia Butko, Mariam Kiran

With advent of quantum internet, it becomes crucial to find novel ways to connect distributed quantum testbeds and develop novel technologies and research that extend innovations i…

quant-ph2020

Resource Efficient Chemistry on Quantum Computers with the Variational Quantum Eigensolver and The Double Unitary Coupled-Cluster approach

Mekena Metcalf, Nicholas P. Bauman, Karol Kowalski +1

Applications of quantum simulation algorithms to obtain electronic energies of molecules on noisy intermediate-scale quantum (NISQ) devices require careful consideration of resourc…

quant-ph2019★ 37 cited

Engineered thermalization and cooling of quantum many-body systems

Mekena Metcalf, Jonathan E. Moussa, Wibe A. de Jong +1

We develop a scheme for engineering genuine thermal states in analog quantum simulation platforms by coupling local degrees of freedom to driven, dissipative ancilla pseudospins. W…

cond-mat.quant-gas2018★ 2 cited

Many-body multi-valuedness of particle-current variance in closed and open cold-atom systems

Mekena Metcalf, Chen-Yen Lai, Massimiliano Di Ventra +1

The quantum variance of an observable is a fundamental quantity in quantum mechanics, and the variance provides additional information other than the average itself. By examining t…

cond-mat.quant-gas2017★ 7 cited

Protocols for dynamically probing topological edge states and dimerization with fermionic atoms in optical potentials

Mekena Metcalf, Chen-Yen Lai, Kevin Wright +1

Topological behavior has been observed in quantum systems including ultracold atoms. However, background harmonic traps for cold-atoms hinder direct detection of topological edge s…

cond-mat.quant-gas2016★ 5 cited

Hysteresis of noninteracting and spin-orbit coupled atomic Fermi gases with relaxation

Mekena Metcalf, Chen-Yen Lai, Chih-Chun Chien

Hysteresis can be found in driven many-body systems such as magnets and superfluids. Rate-dependent hysteresis arises when a system is driven periodically while relaxing towards eq…

cond-mat.quant-gas2015★ 11 cited

Matter-wave propagation in optical lattices: geometrical and flat-band effects

Mekena Metcalf, Gia-Wei Chern, Massimiliano Di Ventra +1

The geometry of optical lattices can be engineered allowing the study of atomic transport along paths arranged in patterns that are otherwise difficult to probe in the solid state.…