The prospects of quantum computing in computational molecular biology
Quantum computers can in principle solve certain problems exponentially more quickly than
their classical counterparts. We have not yet reached the advent of useful quantum …
their classical counterparts. We have not yet reached the advent of useful quantum …
A tutorial on formulating and using QUBO models
The Quadratic Unconstrained Binary Optimization (QUBO) model has gained prominence in
recent years with the discovery that it unifies a rich variety of combinatorial optimization …
recent years with the discovery that it unifies a rich variety of combinatorial optimization …
Biology and medicine in the landscape of quantum advantages
BA Cordier, NPD Sawaya… - Journal of the …, 2022 - royalsocietypublishing.org
Quantum computing holds substantial potential for applications in biology and medicine,
spanning from the simulation of biomolecules to machine learning methods for subtyping …
spanning from the simulation of biomolecules to machine learning methods for subtyping …
Layer VQE: A variational approach for combinatorial optimization on noisy quantum computers
Combinatorial optimization on near-term quantum devices is a promising path to
demonstrating quantum advantage. However, the capabilities of these devices are …
demonstrating quantum advantage. However, the capabilities of these devices are …
Quantum bridge analytics I: a tutorial on formulating and using QUBO models
Abstract Quantum Bridge Analytics relates generally to methods and systems for hybrid
classical-quantum computing, and more particularly is devoted to developing tools for …
classical-quantum computing, and more particularly is devoted to developing tools for …
Quantum Bridge Analytics I: a tutorial on formulating and using QUBO models
Abstract Quantum Bridge Analytics relates generally to methods and systems for hybrid
classical-quantum computing, and more particularly is devoted to developing tools for …
classical-quantum computing, and more particularly is devoted to developing tools for …
Multistart methods for quantum approximate optimization
Hybrid quantum-classical algorithms such as the quantum approximate optimization
algorithm (QAOA) are considered one of the most promising approaches for leveraging near …
algorithm (QAOA) are considered one of the most promising approaches for leveraging near …
Variational quantum eigensolver with reduced circuit complexity
The variational quantum eigensolver (VQE) is one of the most promising algorithms to find
eigenstates of a given Hamiltonian on noisy intermediate-scale quantum devices (NISQ) …
eigenstates of a given Hamiltonian on noisy intermediate-scale quantum devices (NISQ) …
Multilevel combinatorial optimization across quantum architectures
H Ushijima-Mwesigwa, R Shaydulin… - ACM Transactions on …, 2021 - dl.acm.org
Emerging quantum processors provide an opportunity to explore new approaches for
solving traditional problems in the post Moore's law supercomputing era. However, the …
solving traditional problems in the post Moore's law supercomputing era. However, the …
A hybrid approach for solving optimization problems on small quantum computers
Solving larger-sized problems is an important area of research in quantum computing.
Designing hybrid quantumclassical algorithms is a promising approach to solving this. We …
Designing hybrid quantumclassical algorithms is a promising approach to solving this. We …