activity
20142023
most citedRecent developments in the PySCF program package

1.2k citations · 5.5k across the 46 of their papers we have counts for

collaborators
Showing quant-phShow all

26 papers · 1 filter

quant-ph2023

Adiabatic quantum imaginary time evolution

Kasra Hejazi, Mario Motta, Garnet Kin-Lic Chan

We introduce an adiabatic state preparation protocol which implements quantum imaginary time evolution under the Hamiltonian of the system. Unlike the original quantum imaginary ti…

quant-ph2023★ 4 cited

High-fidelity dimer excitations using quantum hardware

Norhan M. Eassa, Joe Gibbs, Zoe Holmes +7

Many-body entangled quantum spin systems exhibit emergent phenomena such as topological quantum spin liquids with distinct excitation spectra accessed in inelastic neutron scatteri…

quant-ph2023★ 6 cited

Enhancing the Expressivity of Variational Neural, and Hardware-Efficient Quantum States Through Orbital Rotations

Javier Robledo Moreno, Jeffrey Cohn, Dries Sels +1

Variational approaches, such as variational Monte Carlo (VMC) or the variational quantum eigensolver (VQE), are powerful techniques to tackle the ground-state many-electron problem…

quant-ph2023★ 19 cited

Hierarchical Clifford transformations to reduce entanglement in quantum chemistry wavefunctions

Ryan V. Mishmash, Tanvi P. Gujarati, Mario Motta +3

The performance of computational methods for many-body physics and chemistry is strongly dependent on the choice of basis used to cast the problem; hence, the search for better bas…

quant-ph2022★ 16 cited

A stochastic quantum Krylov protocol with double factorized Hamiltonians

Nicholas H. Stair, Cristian L. Cortes, Robert M. Parrish +2

We propose a class of randomized quantum Krylov diagonalization (rQKD) algorithms capable of solving the eigenstate estimation problem with modest quantum resource requirements. Co…

quant-ph2022★ 29 cited

Challenges in the use of quantum computing hardware-efficient Ansatze in electronic structure theory

Ruhee D'Cunha, T. Daniel Crawford, Mario Motta +1

Advances in quantum computation for electronic structure, and particularly heuristic quantum algorithms, create an ongoing need to characterize the performance and limitations of t…

quant-ph2022★ 48 cited

Quantum chemistry simulation of ground- and excited-state properties of the sulfonium cation on a superconducting quantum processor

Mario Motta, Gavin O. Jones, Julia E. Rice +5

The computational description of correlated electronic structure, and particularly of excited states of many-electron systems, is an anticipated application for quantum devices. An…

quant-ph2022★ 76 cited

Exact and efficient Lanczos method on a quantum computer

William Kirby, Mario Motta, Antonio Mezzacapo

We present an algorithm that uses block encoding on a quantum computer to exactly construct a Krylov space, which can be used as the basis for the Lanczos method to estimate extrem…

quant-ph2022★ 83 cited

Quantum-enhanced Markov chain Monte Carlo

David Layden, Guglielmo Mazzola, Ryan V. Mishmash +4

Sampling from complicated probability distributions is a hard computational problem arising in many fields, including statistical physics, optimization, and machine learning. Quant…

quant-ph2022★ 26 cited

Quantum Computation of Reactions on Surfaces Using Local Embedding

Tanvi P. Gujarati, Mario Motta, Triet Nguyen Friedhoff +9

Modeling electronic systems is an important application for quantum computers. In the context of materials science, an important open problem is the computational description of ch…

quant-ph2022★ 181 cited

Experimental Realization of a Measurement-Induced Entanglement Phase Transition on a Superconducting Quantum Processor

Jin Ming Koh, Shi-Ning Sun, Mario Motta +1

Ergodic quantum many-body systems undergoing unitary dynamics evolve towards increasingly entangled states characterized by an extensive scaling of entanglement entropy with system…

quant-ph2022★ 17 cited

Quantum circuits for the preparation of spin eigenfunctions on quantum computers

Alessandro Carbone, Davide Emilio Galli, Mario Motta +1

The application of quantum algorithms to the study of many-particle quantum systems requires the ability to prepare wavefunctions that are relevant in the behavior of the system un…

quant-ph2021★ 181 cited

Emerging quantum computing algorithms for quantum chemistry

Mario Motta, Julia Rice

Digital quantum computers provide a computational framework for solving the Schrödinger equation for a variety of many-particle systems. Quantum computing algorithms for the quantu…

quant-ph2021★ 1 cited

A quantum computational approach to the open-pit mining problem

Yousef Hindy, Jessica Pointing, Meltem Tolunay +3

The determination of optimal open-pit profiles is a well-studied combinatorial optimization problem, with profound technical and conceptual relevance in computational mining. The o…

quant-ph2021★ 170 cited

Doubling the size of quantum simulators by entanglement forging

Andrew Eddins, Mario Motta, Tanvi P. Gujarati +4

Quantum computers are promising for simulations of chemical and physical systems, but the limited capabilities of today's quantum processors permit only small, and often approximat…

quant-ph2021★ 73 cited

Quantum Filter Diagonalization with Double-Factorized Hamiltonians

Jeffrey Cohn, Mario Motta, Robert M. Parrish

We demonstrate a method that merges the quantum filter diagonalization (QFD) approach for hybrid quantum/classical solution of the time-independent electronic Schrödinger equation…

quant-ph2021★ 158 cited

Digital quantum simulation of open quantum systems using quantum imaginary time evolution

Hirsh Kamakari, Shi-Ning Sun, Mario Motta +1

Quantum simulation on emerging quantum hardware is a topic of intense interest. While many studies focus on computing ground state properties or simulating unitary dynamics of clos…

quant-ph2020★ 16 cited

Quantum simulations of molecular systems with intrinsic atomic orbitals

Stefano Barison, Davide Emilio Galli, Mario Motta

Quantum simulations of molecular systems on quantum computers often employ minimal basis sets of Gaussian orbitals. In comparison with more realistic basis sets, quantum simulation…

quant-ph2020★ 117 cited

Quantum Computation of Finite-Temperature Static and Dynamical Properties of Spin Systems Using Quantum Imaginary Time Evolution

Shi-Ning Sun, Mario Motta, Ruslan N. Tazhigulov +3

Developing scalable quantum algorithms to study finite-temperature physics of quantum many-body systems has attracted considerable interest due to recent advancements in quantum ha…

quant-ph2020★ 67 cited

Applications of Quantum Computing for Investigations of Electronic Transitions in Phenylsulfonyl-carbazole TADF Emitters

Qi Gao, Gavin O. Jones, Mario Motta +7

A quantum chemistry study of the first singlet (S1) and triplet (T1) excited states of phenylsulfonyl-carbazole compounds, proposed as useful thermally activated delayed fluorescen…

quant-ph2020★ 71 cited

Quantum simulation of electronic structure with a transcorrelated Hamiltonian: improved accuracy with a smaller footprint on the quantum computer

Mario Motta, Tanvi P. Gujarati, Julia E. Rice +6

Quantum simulations of electronic structure with a transformed Hamiltonian that includes some electron correlation effects are demonstrated. The transcorrelated Hamiltonian used in…

quant-ph2020★ 802 cited

Quantum algorithms for quantum chemistry and quantum materials science

Bela Bauer, Sergey Bravyi, Mario Motta +1

As we begin to reach the limits of classical computing, quantum computing has emerged as a technology that has captured the imagination of the scientific world. While for many year…

quant-ph2019★ 219 cited

Qubitization of Arbitrary Basis Quantum Chemistry Leveraging Sparsity and Low Rank Factorization

Dominic W. Berry, Craig Gidney, Mario Motta +2

Recent work has dramatically reduced the gate complexity required to quantum simulate chemistry by using linear combinations of unitaries based methods to exploit structure in the…

quant-ph2019★ 696 cited

Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution

Mario Motta, Chong Sun, Adrian Teck Keng Tan +5

The accurate computation of Hamiltonian ground, excited, and thermal states on quantum computers stands to impact many problems in the physical and computer sciences, from quantum…