An adaptive variational algorithm for exact molecular simulations on a quantum computer
HR Grimsley, SE Economou, E Barnes… - Nature …, 2019 - nature.com
Quantum simulation of chemical systems is one of the most promising near-term
applications of quantum computers. The variational quantum eigensolver, a leading …
applications of quantum computers. The variational quantum eigensolver, a leading …
Quantum machine learning for electronic structure calculations
Considering recent advancements and successes in the development of efficient quantum
algorithms for electronic structure calculations—alongside impressive results using machine …
algorithms for electronic structure calculations—alongside impressive results using machine …
A feasible approach for automatically differentiable unitary coupled-cluster on quantum computers
We develop computationally affordable and encoding independent gradient evaluation
procedures for unitary coupled-cluster type operators, applicable on quantum computers …
procedures for unitary coupled-cluster type operators, applicable on quantum computers …
Reducing qubit requirements while maintaining numerical precision for the variational quantum eigensolver: A basis-set-free approach
JS Kottmann, P Schleich… - The Journal of …, 2021 - ACS Publications
We present a basis-set-free approach to the variational quantum eigensolver using an
adaptive representation of the spatial part of molecular wave functions. Our approach …
adaptive representation of the spatial part of molecular wave functions. Our approach …
Improving Hamiltonian encodings with the Gray code
O Di Matteo, A McCoy, P Gysbers, T Miyagi… - Physical Review A, 2021 - APS
Due to the limitations of present-day quantum hardware, it is especially critical to design
algorithms that make the best possible use of available resources. When simulating …
algorithms that make the best possible use of available resources. When simulating …
Classical and quantum cost of measurement strategies for quantum-enhanced auxiliary field quantum monte carlo
Quantum-enhanced auxiliary field quantum Monte Carlo (QC-AFQMC) uses output from a
quantum computer to increase the accuracy of its classical counterpart. The algorithm …
quantum computer to increase the accuracy of its classical counterpart. The algorithm …
QChemistry: A quantum computation platform for quantum chemistry
Quantum computer provides new opportunities for quantum chemistry. In this article, we
present a versatile, extensible, and efficient software package, named Q $^ 2$ Chemistry, for …
present a versatile, extensible, and efficient software package, named Q $^ 2$ Chemistry, for …
On decision support for quantum application developers: categorization, comparison, and analysis of existing technologies
Quantum computers have been significantly advanced in recent years. Offered as cloud
services, quantum computers have become accessible to a broad range of users. Along with …
services, quantum computers have become accessible to a broad range of users. Along with …
Synergetic quantum error mitigation by randomized compiling and zero-noise extrapolation for the variational quantum eigensolver
We propose a quantum error mitigation strategy for the variational quantum eigensolver
(VQE) algorithm. We find, via numerical simulation, that very small amounts of coherent …
(VQE) algorithm. We find, via numerical simulation, that very small amounts of coherent …
Advantages of a modular high-level quantum programming framework
We review some of the features of the ProjectQ software framework and quantify their impact
on the resulting circuits. The concise high-level language facilitates implementing even …
on the resulting circuits. The concise high-level language facilitates implementing even …